Shaheen Dubash

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Summary: In this Article, you will learn about Data Analyst Salary in India in 2023. Data Science Job roles Average Salary per Annum Data Scientist ₹698,413 per year Data Engineer ₹8,56,643 per year Data Analyst ₹424,414 per year Read more to know each in detail. Wondering what is the range of Data Analyst salary in India? Data Analysis become one of the most high-in-demand jobs around the world. As a result, a Data Analyst salary in India is significantly higher than other software related professionals. Check out our data science free courses to get an edge over the competition. Thus, if you have the required skillset and are ready to keep yourself updated, your career as a Data Analyst is expected to keep growing onwards and upwards. This line stands true especially when we consider that a data analyst salary in India is directly or indirectly dependent on how upskilled and updated they are. Across the world, people send an average of 188 million emails, watch 4.5 million YouTube videos, and exchange 18.1 million text messages each minute. You can also consider doing our Python Bootcamp course from upGrad to upskill your career. Cut short; we generate over 2.5 quintillion bytes of data each day. Demand for Data Analysts is on Rise Naturally, this generates and adds to an ever-increasing pile of data, which brings forth the need for someone who could analyze huge heaps of data and help make sense of it. Therefore, the buzz around a data analyst’s job role has increased significantly over the last few years. Of course, as you research what is data analyst and what the possible data analyst salary Pune, data analyst salary Delhi, data analyst salary Chennai, or data analyst salary Hyderabad could be, you might realize that the demand for the profile is immense. At least by the Indian job market standards. Let’s take a look at who exactly is a Data Analyst and what is a typical data analyst salary in India? Who is a Data Analyst & what do they do? Data Analysts are professionals who translate numbers, statistics, figures, into plain English for everyone to understand. Join our fullstack development bootcamp course if you are interested. Given the circumstances, there’s always an increasing scope for Data Analysts at the workplace, and it may be an excellent choice for those who have a strong foothold in mathematics, statistics, computer science or business backgrounds. This position includes data mining, fluency in languages like SQL, Python, etc. to extract the relevant insights from the data sets as well as channeling those ideas through visualizations and reports. A Data Analyst collects, stores, and interprets data to transform it into valuable business insights that can be used to improve business operations and foster data-driven decision making. Since this job role involves parsing through data, analyzing it, and interpreting it, it is primarily analytical. The increasing demand for data analysts are increasing the data analyst salary in India. Once Data Analysts are able to interpret the hidden information from within large datasets, they must be able to communicate that information effectively to all the stakeholders involved – colleagues, business & management teams, clients, company partners, etc. Because of the demand, data analyst salary in India is one of the highest. Learn data science courses from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career. Skills required for the profile of a Data Analyst  1. Solid Domain Understanding Data Analytics skills help in problem-solving. They need to understand the variables in a business, the levers that they can potentially move to bring about a significant positive change, the external and internal factors that affect its growth, and model all necessary decisions accordingly. Business understanding is a must-have and one of the most critical skills if you aspire to become a data analyst and directly impacts the data analyst salary in India. 2. Mathematics & Statistics Objective decision-making forms a very important part of how you arrive at the solution of any given decision. To be able to take decisions objectively you must rely on Mathematics and Statistics. You need to find patterns, segment, make predictions based on historical information. You will need to use prediction algorithms, classification, and clustering algorithms to arrive at the best possible solution, and that is where Mathematics and Statistics will come to the rescue. Our learners also read: Excel online course free! 3. Technical Skills You can identify and solve a problem using domain understanding and mathematical skills. But most businesses are not so simple. You will need to go through data sets that are way beyond your calculative abilities, and in order to be able to replicate your algorithms and business solutions at scale, it is very important that you pick up tools such as R, Python, SQL etc. Must read: Data structures and algorithms free course! 4. Soft Skills Last, but not the least of data analytics skills, you should be able to communicate your solution in the most simple and understandable format to the stakeholders. They might not know anything about KS Statistics, or root mean square error, or your clustering algorithm but that is where your soft skills come in. Impactful communication, use of great visualization, and visualization tools like Tableau, QlikView, ggplot, etc., become really important. Our learners also read: Learn Python Online Course Free  Data Analyst Job Roles 1. Data Scientists Data science is basically statistics implemented through programming. Alongside R, Python has also shown its mettle in sorting out data as per generic as well as specific requirements. As far as India is concerned, Python programmers for data science earn more than both software developers as well as DevOps programmers. The reason for this is that data collection, data cleaning and processing is becoming very common nowadays as companies need data to gather market and customer information. This requires a niche of Python programmers who are specially trained in the collection and processing of data through libraries like NumPy and Pandas. Data scientists are in high demand in major metros like Delhi-NCR and Mumbai and emerging cities such as Pune and Bangalore. Responsibilities of Data Scientists Gathering vast amounts of structured and unstructured data and converting them into actionable insights. Identifying the data-analytics solutions that hold the most significant potential to drive the growth of organizations. Using analytical techniques like text analytics, machine learning, and deep learning to analyze data, thereby unravelling hidden patterns and trends. Encouraging data-driven approach to solving complex business problems. Cleansing and validating data to optimize data accuracy and efficacy. Communicating all the productive observations and findings to the company stakeholders via data visualization. Data Analyst Qualification Requirements A bachelor’s or graduate degree in computer science, business, engineering, or information systems, or relevant work experience, is required.  A time manager with leadership and analytical skills. Capable of working with datasets, statistics, and machine learning tasks.  A strong capacity for critical thought and attention to detail.  Possesses expertise in consulting and the capacity to offer support for problem-solving and debugging.  Scope for Data Analyst Job in India Every industrial niche focuses on using big data, leveraging it to make crucial decisions for its business and people. The power that analytics contains is waiting to be tapped by end-users such as businesses of all domains. There could be varied scales of businesses involved in exploring the power of data and analytics. This also implies a lot of opportunities in the making for job creation. The forecast is that the demand for the role of what is data analyst profile outweighs the present supply for the same. 5 Reasons why Start-ups Are Fuelling Data Analysis Growth In India alone, the role of a data analyst is not limited to specific niches. However, the demanded skill set for such a role is very specific and thereby, finding a space in the freshly run start-ups. Even from the perspective of the hiring authority, the focus remains on tapping a pool with the specific skill sets needed for data analyst roles. This naturally widens the candidate pool for such jobs and influences the data analyst salary Pune, data analyst salary Delhi, data analyst salary Chennai, or data analyst salary Hyderabad among other places. Here are a few reasons why data analyst role and salary are experiencing a growth. India is a hub for start-ups and is seeing a massive increment in the number of enterprises operating in this big data analytics space.  These start-ups are gradually observing funding and an influx of growth significantly. The boom for such start-ups has contributed substantially to the demand for data analysts, which is set to peak further. Considering that companies in India realize the power and opportunities associated with data analysis, a considerable investment is anticipated in this context.  Data analytics is a sort of growth trigger, and this is enhancing the demand for data analytics training.  Another factor contributing to the demand for data analysts’ jobs is the salary and the absolute need for such profiles in e-commerce companies. Only the expertise of qualified data analysts can help such companies derive insights into the data they handle. Additionally, this will steadily open up more opportunities for revenue enhancement too! Data Scientists Salary Range in India The average data scientists salary is ₹698,413. An entry-level data scientist can earn around ₹500,000 per annum with less than one year of experience. Early level data scientists with 1 to 4 years experience get around ₹610,811 per annum. A mid-level data scientist with 5 to 9 years experience earns ₹1,004,082 per annum in India. As your experience and skills grow, your earnings rise dramatically as senior-level data scientists around more than ₹1,700,000 a year in India!   Source Top Data Science Skills to Learn Top Data Science Skills to Learn 1 Data Analysis Course Inferential Statistics Courses 2 Hypothesis Testing Programs Logistic Regression Courses 3 Linear Regression Courses Linear Algebra for Analysis 2. Data Engineers The primary job of a Data Engineer is to design and engineer a reliable infrastructure for transforming data into such formats as can be used by Data Scientists. Apart from building scalable pipelines to covert semi-structured and unstructured data into usable formats, Data Engineers must also identify meaningful trends in large datasets. Essentially, Data Engineers work to prepare and make raw data more useful for analytical or operational uses. There are many myths about data engineers and most of them are far from reality. In an organization, the position of a Data Engineer is as vital as that of a Data Scientist. The only reason why Data Engineers remain away from the limelight is that they have no direct link to the end product of the analysis. Responsibilities of Data Engineers Integrate, consolidate, and cleanse data collected from multiple sources. Prepare raw data for manipulation and predictive/prescriptive modeling by Data Scientists. Develop the necessary infrastructure for optimal extraction, transformation, and loading of data from disparate sources using SQL, AWS, and other Big Data technologies. Deploy sophisticated analytics programs, machine learning algorithms, and statistical techniques to build data pipelines. Assemble vast and complex data sets to cater to the functional and non-functional business requirements. Identify and develop innovative ways to improve data reliability, efficiency, and quality. Develop, construct, test, and maintain data architectures. Skills required to be a Data Engineer Active project management and organizational skills. Strong analytic skills to handle and work with large, unstructured datasets. Strong programming flair in trending languages, including Python, Java, C++, Scala, Ruby, etc. Advanced working knowledge of SQL, along with experience in working with relational databases. Proficiency in working with a wide variety of databases. Data Engineer Salary Range in India According to Glassdoor, the average Data Engineer salary in India is Rs.8,56,643 LPA. But of course, the Data Engineer salary depends on several factors, including company size and reputation, geographical location, education qualifications, job position, and work experience. Reputed companies and big players in the Big Data industry like Amazon, Airbnb, Spotify, Netflix, IBM, Accenture, Deloitte, and Capgemini, to name a few, usually pay high compensation to Data Engineers. Also, the more your past work experience in Big Data, the higher will be your market value. Despite the global demand-supply paradox (the demand for Data Engineers far exceeds their supply), the career prospect of Data Engineers looks promising in India. According to Analytics India Magazine report, “While IT firms have shown a negative trend, the demand for data engineering professionals has increased across the companies, resulting in a significant jump in their salary structure. Whereas for salaries across analytics skills, advanced analytics roles and predictive modeling professionals grabbed the limelight compared to other roles.” As for Data Engineers in their early career (1-4 years of experience), they make anywhere around Rs.7,37,257 LPA. As they proceed to mid-level (with 5-9 years of experience), the salary of a Data Engineer becomes Rs.1,218,983 LPA. Data Engineers having over 15 years of work experience can make more than Rs.1,579,282 LPA. Source Source upGrad’s Exclusive Data Science Webinar for you – document.createElement('video'); https://cdn.upgrad.com/blog/jai-kapoor.mp4 3. Data Analyst Data Analysts are professionals who translate numbers, statistics, figures, into plain English for everyone to understand. Given the circumstances, there’s always an increasing scope for Data Analysts at the workplace, and it may be an excellent choice for those who have a strong foothold in mathematics, statistics, computer science, or business backgrounds. This position includes data mining, fluency in languages like SQL, Python, etc. to extract the relevant insights from the data sets as well as channeling those ideas through visualizations and reports. Lets deep dive into data analyst responsibilities and data analyst salary in India. Data Analyst Responsibilities To analyze and mine business data to identify correlations and discover valuable patterns from disparate data points. To work with customer-centric algorithm models and personalize them to fit individual customer requirements. To create and deploy custom models to uncover answers to business matters such as marketing strategies and their performance, customer taste, and preference patterns, etc. To map and trace data from multiple systems to solve specific business problems. To write SQL queries to extract data from the data warehouse and to identify the answers to complex business issues. To apply statistical analysis methods to conduct consumer data research and analytics. Data Analyst Salary in India For a data analyst in India, having 1 – 4 years of experience has a gross earning (including tips, bonus, and overtime pay) of Rs 3,96,128, while a mid-career Data Analyst with 5 – 9 years of experience can make up to Rs 6,03,120 based on the organization and the location of the working place. And if you are a matured and experienced Data Analyst who has been in the industry or 10 – 19 years can earn an average total compensation of Rs 9,00,000. Source – 78% of the analytics professionals in India are under the salary bracket of 0 – 6 Lakhs at their entry level, but since there has been a rise in the number of freshers in Data Analysis in India, this is an excellent indication for maturing the industry. Data Analyst salary in India is affected by multiple elements like location, skills, experience and company. – The salaries for 4 – 6 years of experienced remain stable at 8.7 Lakhs. – For the Senior Data Analyst having substantial experience of 12 or more years has witnessed a sharp 20% rise in their salaries last year. The companies across the world are thoroughly valuing analytics and its potential in changing the market trends, leading the decision-makers of the companies to invest more and more in the technology, people, and processes. This has led to the shift of Data analytics from I.T. and finance to most business functions. The reports by the U.S. Bureau of Labor Statistics indicates that the Data Analysts are projected to see faster than average growth of 19% from 2014-2024, thanks to the continuous growth of data generation and the need to refine and extract relevant insights from the same. So, the next question that arises is: what are all the factors affecting data analyst salary in India? Factors Affecting Data Analyst Salary in India Data Analyst salary in India can be affected by multiple factors. Let’s see some primary salary affecting factors: Experience Industries Location Company Skills Data Analyst Salary in India: Based on Experience Data analytics can yield your earnings, which are well above the median of $47,000 for a full-timer in the U.S., but it is subjective from one organization to another based on the years of experience. According to Zippia, the average entry-level business/data analyst salary having 2 years of experience and a bachelor’s degree is $54,000 which can rise to $70,000 in just 2 to 4 years of experience in the USA. Generally, a senior analyst with more than 6 years of experience commands a higher salary of about $88,000 but, with a specialization in the field can make the salary can soar as high as $100,000. Let’s see how Data Analyst salary in India varies based on experience. Entry-Level Data Analyst Salary in India The average salary of entry-level Data Analyst salary in India is ₹325,616. Mid-Level Data Analyst Salary in India The average salary of a mid-level Data Analyst salary in India is ₹635,379. Experienced Data Analyst Salary in India The average salary of an experienced Data Analyst salary in India is ₹852,516. Let’s see how the salary increases with experience: Source While the data analyst salary in 2022 can increase steadily over the first five to 10 years, afterward it would prove to be increasingly challenging to obtain raises without working on broadening of your skills. Therefore, many data analysts who are unable to work up their ways to success end up in switching their careers as the critical difference of data scientists to that of data analysts lies to the former’s superior knowledge in advanced programming, data modeling, machine learning and more leading them to have a higher pay to that of data analysts. As mentioned before, data scientist job openings and payments are subjective from one organization to another leading many data analysts to perform in the scope of the work of the data scientists according to the company’s requirements. It is, therefore, better to understand the scope and details of the work before you can choose your work scenario in such places. Explore our Popular Data Science Courses Executive Post Graduate Programme in Data Science from IIITB Professional Certificate Program in Data Science for Business Decision Making Master of Science in Data Science from University of Arizona Advanced Certificate Programme in Data Science from IIITB Professional Certificate Program in Data Science and Business Analytics from University of Maryland Data Science Courses Data Analyst Salary in India: Based on Industry Data analytics now run in the very foundation of every industry, and due to that, there has been a remarkable increase for the data analysts in the number of paths to choose from as it adds a lot of value and enhances the industries to make steady progress in their respective genres. This progress can impact directly to the data analyst salaries as these people are directly responsible for some of the decision-making processes for the organization with the help of data extracted and analyzed using the tools like Excel, Tableau, and SQL. Their salaries can range from $54,700 to $69,000 at the entry level. Data Analysts Salary Trends in India By Industry For the financial analysts who work with the financial accounts of the company to predict its performance and study the macro and microeconomic trends, creating economic models and forecasts. According to the 2017 Robert Half Salary Guide, the financial analysts at an entry-level can make up to $52,700 to $66,000 based upon bonuses and commissions. Market research analysts also use sales, competitor research, and customer survey data to design the landscape for a product to optimize the segmentation, targeting, and positioning efforts. Such useful insights need a strong skill of communication, compelling storytelling, and a very refined quantitative data analysis – calling for significant pay at the starting level ranging from $51,000 to $65,000. Also read: Data Scientist Salary in India Similarly, for the data analysts in the healthcare industry manage analytics within the hospital settings to streamline the daily administrative workflow and operations. The salary for these individuals may range from $46,000 to $80,000 and can come with branch or stream specifications as well. Now that you’re well aware of the salary systems for data analysts and how it works in the industries, the next thing you need to know is, Data Analyst Salary in India: Based on Location Let’s see how data analyst salary in India gets affected by the location. Source The number of job opportunities and the annual data analyst salary in India for data innovators is the highest in Bangalore. The Silicon Valley on India provides 19.2% more than the country’s average. Gurgaon & Pune offers 9.8% more and 9.5% respectively than the national average. Data Analysts from Mumbai, Hyderabad, and New Delhi receives 5.2%, 4.8% and 2.8% lesser than the national average respectively. Read our popular Data Science Articles Data Science Career Path: A Comprehensive Career Guide Data Science Career Growth: The Future of Work is here Why is Data Science Important? 8 Ways Data Science Brings Value to the Business Relevance of Data Science for Managers The Ultimate Data Science Cheat Sheet Every Data Scientists Should Have Top 6 Reasons Why You Should Become a Data Scientist A Day in the Life of Data Scientist: What do they do? Myth Busted: Data Science doesn’t need Coding Business Intelligence vs Data Science: What are the differences? Data Analyst Salary in India: Based on Company Let’s see how data analyst salary varies on companies Source For the Data Analyst titles, employers like Accenture, Tata Consultancy Services and Ernest & Young (E.Y.) are some of the top respondents. However, the reported salaries are highest at HSBC, making the average pay to be at Rs. 6,83,000. Data Analyst Salary in India: Based on Skills In order to secure such a high-paying job, you are expected to go beyond the qualifications of a Master’s degree and be familiar with the respective languages and software utilized for managing data. Some more insights from AIM: The very essential skill is being familiar with Python. Python salary in India alone offers ₹10 Lakhs per annum. When you are familiar with Big Data & Data Science, data analyst salary in India increases by 26% compared to being skilled in only one of the areas. SPSS experts can earn around ₹7.3 lakhs where SAS professionals are earning between ₹9 to 10.8 lakhs. Machine Learning salary in India can increase up to 17 lakhs per annum. When you learn ML and Python, it is among one of the highest you can get in this field. Source So, now is the time to master your skills in data in order to further optimize your salary! Data Analyst Salary on Other Countries Let’s see how the data analyst salary is in different countries. Data Analyst salary in The US: $66,000 Source Data Analyst salary in The UK: £26,000 Source Salaries of Related Roles Compared to Data Analyst Let’s look at the average salaries of related roles compared to Data Analyst salary in India. Software Engineer average annual salary in India: ₹514,537 Business Analyst average annual salary in India: ₹607,736 Data Scientist average annual salary in India: ₹813,042 Python Developer average annual salary in India: ₹555,776 ML Engineer average annual salary in India: ₹956,000 Source Data Analyst Salary: Tabular Overview Company-Based Data Analyst Salary How much does a data analyst earn in India? Following course completion, top companies with excellent compensation and perks hire Data Analysts. Here is a table that illustrates the typical yearly salary for a data analyst fresher salary in India in various firms.  Company Hiring Data Analysts  Average Data Analyst Salary  Amazon INR 8.60 L Accenture INR 5.85 L Infosys INR 5.20 L Ernst & Young  INR 5.59 L IBM INR 5.94 L Google  INR 13.20 L Tata Consultancy Services INR 6.51 L Cognizant  INR 5.40 L Deloitte  INR 6.05 L Wipro INR 5.00 L Specialization-Based data analyst salary for freshers Candidates can choose to specialize in order to pursue a job as a data analyst while still in college. They are employable in a variety of fields, such as finance, healthcare, and insurance. Here is a table representing the average yearly Data Analyst Salary based on their specialization. Specialization  Average Data Analyst Salary  Healthcare Analyst INR 4.67 L Social Media Data Analyst INR 3.30 L System Analyst INR 6.60 L Financial Analyst  INR 5.01 L Database Engineers INR 6.00 L Insurance Underwriting Analyst INR 5.20 L Experienced-Based starting salary of data analyst in India Here is a salary breakdown for data analysts based on years of experience.  Experience  Average Data Analyst Salary  0 – 5 years INR 3.60 L 6 – 10 years INR 5.50 L 11 – 15 years INR 7.90 L 16 – 20 years INR 12.40 L 20 years & above INR 16.10 L City-Based Data Analyst Salary Any career’s pay is also influenced by the city an applicant is from. Candidates from major cities will almost usually receive a better deal than candidates from rural areas. The Data Analyst’s Salary for various cities is shown below for your reference.  City Average Data Analyst Salary  Gurugram INR 5.16 L Hyderabad INR 5.70 L Bangalore INR 5.59 L Delhi INR 6.08 L Mumbai INR 6.15 L Noida INR 5.26 L Hyderabad INR 5.70 L Nation-Wise average salary of data analyst in India Since it offers a wider viewpoint, significantly higher pay, and numerous employment options on a worldwide scale, students frequently seek to pursue further education at foreign universities. The UK, USA, Australia, and Canada are a few of the contenders’ top picks. For your reference, the average Data Analyst Salary for various nations is listed below.  Nation Average Data Analyst Salary  United Kingdom INR 49.30 L United States INR 45.47 L Canada INR 30.10 L Australia INR 30.85 L Germany INR 37.20 L Key Reasons to Become a Data Analyst 1. Highly in-demand field Data Analysis is one of the most in-demand jobs for 2023. After United States, India is the second prominent hub of jobs for data scientists. Demand is one of the reason data analyst salary is significantly high. 2. Highly Paid & Diverse Roles Not only is the demand for data scientists booming, but the kinds of job positions are also abundant. 3. Evolving workplace environments Data science is shaping the workplace of the future. With the advent of artificial intelligence and robotics, more and more routine and manual tasks are getting automated. 4. Improving product standards Usage of machine learning has enabled companies to customize their offerings and enhance customer experiences. 5. Helping the world Predictive analytics and machine learning have revolutionized the healthcare industry. Job Responsibilities of Data Analysts Analyzing Trends and Patterns: Data Analysts have to predict and forecast what may happen in the future, which could be very helpful in strategic decision making to the businesses. In this case, a data analyst has to spot the trends that have happened over time. He also has to make specific recommendations by analyzing the patterns. Creating and Designing Data Report: The reports given by a data scientist is the essential prerequisite in the decision making of a company. Data scientists will need to create the data report and design it in such a way that it is very easily understandable by the decision-maker. Data can be represented in many ways like pie-charts, graphs, charts, diagrams and many more. Reporting of Data can also be done in the form of a table depending on the nature of data to be shown. Deriving valuable insights from the Data: The Data Analysts will need to derive useful and meaningful insights from the package of Data to bring some benefits to the organizations. The organization will be able to use those meaningful and unique insights to make the best decision for the success of their company. Collection, Processing, and Summarizing of Data: A Data Analyst has first to collect the data and then process it using the required tools and then summarize the data to be easily understood. The summarized data can tell a lot about the trends and patterns which will be used to predict things and forecasting. Data Analyst salary in India depends on all the responsibilities being fulfilled. Myths Vs Reality Let’s take a step forward and bust some myths revolving around the lives of a data analyst: Myth #1: Data analysts are the masters of Mathematics. This might have been true at one point of time, but now with much more sophisticated tools entering the market, there are more opportunities than ever for people who don’t have a math background to learn about analytics. Myth #2: Analytics takes a lot of time. Most of the organisations opt against data analytics thinking it’ll take too much of time and they’ll be left with little time to do the actual work. However, that’s seldom the case. Once you figure out the metrics, you should be keeping an eye on, and how to track them in your tools, it’s pretty quick to measure those metrics. You will know precisely where to pull those and how to make changes to your operations based off of those metrics. Myth #3: Analytics won’t tell you anything you don’t already know. Just because you think you can guess the fate of your campaign does mean it’s necessarily true. Every time your organisation runs any campaign, the data analyst analyzes the type of content and channels that are performing well. Myth #4: Your company isn’t big enough to need any analyses. Any company, however big or small, can overhaul their operations using data analytics. Especially for smaller organisations, data analytics can come in extremely handy to understand how to grow — and to find out whether you are growing in the desired direction. It also helps you track visitor-to-lead conversion rates and lead-to-customer conversion rates; which helps in understanding if there’s an area of the funnel that is not working and helps you decide what to focus on. Myth #5: You must report on every single metric. Well, this is entirely up to you. If you want, you can spend 100% of your time reporting on every single metric you can find. There is an endless amount of data, and you can go on creating metrics for analyzing – it’ll take you to an infinite loop. How should you kick-start a Career in Data Analytics? 1. Select the right role As stated above, the data science field is very diverse, with never-ending opportunities. You must have a strong understanding of current technology trends, how data analysts drive business decisions, tools in demand, and how data science can shape the future to get a good grasp of what you do and evolve with the organization you work for. Staying in touch with key stakeholders, top management will help you achieve the same. Do not hesitate to ask the right question to understand the different roles of a data analyst. This will help you in deciding the role that suits best to your skill set and requirements. 2. Join a Science Diploma or certification course Understand the role that you need to perform and take appropriate guidance and mentorship from experts in this field. You must keep your skills and knowledge up-to-date with the role you need to perform. Take a step further and go for the PG diploma or certification courses to better perform your duties and strengthen your knowledge. 3. Learn to code: choose a programming language. You must master a programming language to become an expert in data analysis. Python and R are the most popular languages. Select the language that you are comfortable with and learn until you have good command over it. 4. Join Data Analysts community and forums This is one of the most important steps but often overlooked. You must join a data science forum, community group, or take active participation in technical discussions to know what is happening around, how data analysis is shaping the business goals, etc. 5. Enhance your communication skills What if you have humongous knowledge but have no idea of conveying the same to others. Watch videos or take courses to enhance your presentation and communication skills. Learn different tools to present your findings conveniently and intuitively to the key stakeholders of the organization. Also visit upGrad’s Degree Counselling page for all undergraduate and postgraduate programs. 6. Focus on practical applications Don’t just read theory, also put the knowledge to test. Start developing applications that can do your work in less time and collate data from multiple sources with less coding. You can also take a few freelancing projects to work on different datasets. What Does The Future of a Data Analyst Looks Like? Businesses must take precautions to prevent the deterioration of their data. Continuous updates, awareness, and comprehension of a vast amount of data are necessary for this.  Data analytics experts have become an integral part of the business model modification process as their absence can put the organization one step behind the competitors. From telecommunications and healthcare to eCommerce and banking, the need for data analytics is everywhere in the Indian sector.  Many organizations, including Microsoft, Wipro, Accenture, AIG, Deloitte, JPMorgan Chase, Ernst & Young, Adobe, Flipkart, and Vodafone have numerous jobs for data analysts. Read our popular Data Science Articles Data Science Career Path: A Comprehensive Career Guide Data Science Career Growth: The Future of Work is here Why is Data Science Important? 8 Ways Data Science Brings Value to the Business Relevance of Data Science for Managers The Ultimate Data Science Cheat Sheet Every Data Scientists Should Have Top 6 Reasons Why You Should Become a Data Scientist A Day in the Life of Data Scientist: What do they do? Myth Busted: Data Science doesn’t need Coding Business Intelligence vs Data Science: What are the differences? Conclusion Despite few IT firms showing a negative trend in the data analysts salaries, the demand for efficient data scientists and analysts seem to be on the rise and is inevitable, thanks to the ever-increasing amount of data online and the competitive market. As for the salaries across the analytical and predictive modeling skills, R remains to be the most in-demand with the highest salaries, followed closely by Python. The opportunities for Data Analytics are currently at their prime in India. With the large volumes of data being generated by businesses and the availability of data and tools to extract it – and the urge to gain insights from it. It includes the rise in Data Analyst’s salary and Data Scientists salary India. We hope you liked our article on Data Analyst salary in India. These numbers above are not set in stone. The real influencer of your salary is the skills you have,  the mastery you have attained over them, and how quickly you grow and make the company grow as well. You are likely to receive an annual bump up of around 15% in your salary. This will further increase with an increase in the years of work experience and the number of skills you’ve mastered. Therefore, whether you’re starting from scratch or you’re already experienced in the field of data. You’ll always have this motivating factor driving you in your career! If you are curious about learning data science to be in the front of fast-paced technological advancements, check out upGrad & IIIT-B’s Executive PG Program in Data Science.

Social media is dominating the marketing world with 2.8 billion global users. A majority of companies have adopted marketing strategies that include social media. They are benefiting from the ease of sending updates and reaching out to their target audience for very low costs. There are multiple social media channels and each has its advantage. Best Digital Marketing Courses Online Advanced Certificate in Brand Communication Management - MICA Advanced Certificate in Digital Marketing and Communication - MICA Performance Marketing Bootcamp - Google Ads from upGrad To Explore all our courses, visit our page below. Digital Marketing Courses We have compiled a list of six most widely used social media channels which can help scale your business: 1. Facebook With just under 2 billion users, Facebook has the biggest online user base. Facebook has transformed from Zuckerberg’s primary aim of connecting friends to being one of the most effective social media marketing platforms. It is the perfect platform to reach out to your target audience by sharing company updates in the form of text, pictures, videos, etc. Facebook also has a paid feature; Facebook Adverts which help you to appear on a specific segment of audiences’ newsfeeds in the form of ads. Whatever is your budget, you can use Facebook Ads and even Instagram. These ads promise to attract the attention of users. Moreover, you can also analyze the data of ad results while running a campaign. Facebook Ads can be featured in different formats like images, videos, slides, in-video ads, Facebook/Instagram stories, etc. Going live on video, in real time is also a recent feature that has been launched. It’s an effective option to interact with your followers, engage them and keep them hooked. These features allow you to keep your followers updated with your offerings and retain them. 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Instagram Instagram is a photo and video sharing social media platform, Facebook recently acquired it. It has around 700 million users posting updates from their smartphones. Instagram’s option to edit and add filters in videos and images makes it distinct from its competitors. Users share visually appealing content and use it especially for travel, food, art, and fashion blogging. Digital Marketing Free courses to Learn Influencer marketing free course Introduction to advertising free course Influencer marketing right free course SEO basics free course SEM basics free course Email marketing free course Social media marketing introduction free course How to leverage user generated content free course Content marketing free course Fundamentals of marketing free course Brand marketing masterclass free course Instagram posts tend to go viral with the use of hashtags and witty captions. Unique hashtags for events and trends create an incentive for users to post, especially given the added factor of discoverability and popularity of these posts. Another recent trend that has caught onto Instagram is the use of influencers. These influencers are celebrities and mini-celebrities having a large number of followers. They offer to advertise brands and products, by posting images and videos featuring them. An Instagram page is likely to be successful if it is run by a creative person who has photography skills and an eye for detail. Another effective way to engage with your followers on a regular basis is the Instagram Story feature which was adopted from Snapchat. These stories can be in the form of videos or images and will appear on your followers’ feeds for 24 hours. Instagram also has the function to go live like Facebook and interact with your followers in real time. Instagram has been a superb platform for brands who regularly post visually appealing content and engage with their customers in the form of giveaway or prize-winning competitions. 3. Twitter Twitter is a social networking site popular for its minimal length posts, known as tweets. These tweets are restricted to a maximum of 140 characters but can additionally be posted with images, videos or links. Twitter started the concept of hashtags with the help of which Tweets tend to go viral. Content posted on Twitter is more often newsworthy and therefore ends up trending through hashtags. Users can “retweeted” or respond to the tweets. Twitter gives you an option to (paid) promote trends and sponsored tweets as well, which is basically advertising. Similar to Facebook, it can be used to send your message to more number of users and help you increase your follower base. Tweets require minimal effort to be posted and enable you to share interesting content where you can be creatively constrained due to the character limit. Although Twitter has half the number of users than Instagram – 328 million – it is the most efficient channel to handle customer service updates, hold polls or to provide immediate updates to your users. 4. Snapchat Snapchat is another social media app constrained to visually appealing, disappearing content. It has around 150 million users and is popular among iOS users who share creative and funny videos or images. The app can only be accessed from smartphones and is used to send posts to a specific group of followers/friends or to publish as a story for 24 hours. Snapchat has developed its features over the past 5 years and now has the functions of media content, instant messaging, geofilters and image storage. Unlike Facebook and Instagram, Snapchat is most successful for its ability to compile stories. Although Snapchat went viral because of its convenience and unique way to message friends, it has also become a popular advertising channel. Companies can advertise themselves in the form of snap ads, sponsored geofilters or lenses and feature on ‘discovered.’ Like Instagram, Snapchat is successful because of its interactive feature to apply filters and share visually appealing content. Additionally, products can also be advertised through Snapchat influencers who have a large number of followers. Snapchat is the best way to reach out to millennials and channel your inner creativity!   Top 5 Ways to Advertise on Snapchat 5. LinkedIn LinkedIn is the largest social networking site for professionals with over 500 million users. It’s the perfect platform to grow your career or simply reach out to have a conversation with other professionals. LinkedIn functions like Facebook. It has an objective to build connections and the ability to reach out to a large group of users in different professions. LinkedIn is the most effective platform for purely B2B marketing and to reach out to professionals. Therefore, it is a great for promoting your brand’s objectives and establish partnerships or sponsorships. You can target your niche by using appropriate keywords and attract users to your LinkedIn groups. Further, you should keep your profile/page updated with relevant and a fair amount of content to engage with your followers. However, in order to go viral, you can choose to sponsor your popular content in the form of ads to reach your desired audience segments successfully. Lastly, the advantage of maintaining a LinkedIn campaign is the opportunity to utilize the analytics available. This way, companies can track and observe their consumer’s behaviour and familiarize themselves with their preferences. LinkedIn is most advantageous for B2B companies because it is the only social media channel that exclusively connects professionals. Therefore, you can use it to target customers based on their job title or industry. You can also promote content relevant to careers, jobs, and industries on LinkedIn. 6. YouTube After Facebook, YouTube has the second largest audience base with over a billion users. The video sharing platform is primarily for entertainment and news. The world population collectively spends about 1 billion hours per day watching YouTube videos. Although it’s an independent social networking platform, you’ll find YouTube videos embedded in emails, tweets, websites and Facebook posts, allowing you to cross connect your social media content. Similar to other social media channels, YouTube also has its own ads feature. It is the perfect opportunity to reach your video-watching and engaged target audience. Especially, if you are a content-heavy brand that prefers creating videos over text format content. Additionally, you will only have to pay if the viewer actually reciprocates interest in your ads. The major advantage of marketing/advertising on YouTube is the ability to reach out to its billion users and further expand your brand presence. Using appropriate keywords will optimize your brand’s exposure since, Google owns YouTube, it has a high SEO (Search Engine Optimization) ranking for each video. Plus, you can use multiple features like in-video cards and end screens to navigate your viewers to your desired webpage and convert them into leads, or even guide them to more useful videos. The results measured on YouTube allows you to analyze the performance of your ad. You’ll be able to know whether you’re succeeding in reaching out to your desired audience. It can help you deciding future courses of action accordingly. YouTube is also an ideal platform for conducting interviews/webinars, posting how-to videos, going live and advertising your company in the form of videos, etc. upGrad’s Exclusive Digital Marketing Webinar for you – What’s new in Marketing? document.createElement('video'); https://cdn.upgrad.com/blog/rumi-ambastha.mp4   Social media marketing delivers the most effective results in this day and age of digital marketing. Facebook, Twitter, Instagram, Snapchat, LinkedIn and YouTube are some of the most dominant channels for this purpose. Each of these platforms has the ability to feature content in different formats and subsequently analyze the effectiveness. Social media platforms allow instant customer engagement and additionally, result in increased customer satisfaction, sales, and overall brand exposure! 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Being a Product Manager can be a pretty loaded task. Monitoring the product’s development, from its creation to completion, isn’t an easy job and definitely not for the faint-hearted. With a never-ending list of responsibilities involving assigning, tracking, solving and most importantly, creating roadmaps. We have compiled a list of product management tools specifically created to ease your job. It’ll ensure an improvement in the collaboration and productivity of your team. A Product Manager’s role is a vital one to smoothen business processes and build products end-to-end. The following product management tools are easily accessible. A majority of them are even available as a mobile app – allowing you to master your job on the go! Check out our business management courses to upskill yourself. Here’s the list of some most popular Product Management Tools: 1. Jira If you’re skeptical about apps, then we recommend you to try Jira’s free subscription. Jira is a top software development app for agile teams. Its functions and the thousands of add-ons will allow you to create and manage the best software applications. Unlike other apps, Jira is extremely flexible as it adapts to the work of your team. It even has a recovery feature in case your hard drive crashes. Jira promises to drive efficiency with its ability to drive traffic and provide you with the latest updates without any interruptions. Be one of the 35,000 global firms who trust Jira! 2. Trello Trello is one of the most efficient and visually appealing platforms for companies to collaborate. As a Product Manager, you can decide who has permission to access the task boards, delegate tasks to your colleagues and monitor the progress of these tasks. The biggest advantage of Trello is that the cloud drive can be accessed globally and members can add comments or attachments to each other’s work. Additionally, everything can be performed virtually. It helps to reduce the consumption of paper and allows the users to integrate and utilize information from other apps on Trello as well. It’s great for everyone – from compact start-ups to well-established companies! 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ProductPlan ProductPlan integrates with Jira and Slack (more on Slack later), which will allow you to share information amongst the apps. ProductPlan is the most efficient method of creating and sharing roadmaps amongst your team or even presenting it to a large number of stakeholders. It will measure the progress of your strategies by prioritising initiatives and notifying you of each change made to your roadmap. ProductPlan’s bank-level security and large user interface will allow your team to master the creation and compilation of work. 4. Wizeline As a Product Manager, the process of tracking the development of the product is essential due to alterations made in data or a change in an idea. Wizeline eases adaptation to these changes and prevents relapses in the process. The software enables feedback to be gathered from users and other stakeholders of the product. What sets Wizeline apart from other apps is the ability to analyse and codify patterns in the feedback. It converts repeated feedback into a new feature in the product’s design. Top Essential Management Skills to Learn SL. No Top Management Skills to Learn 1 Consumer Behaviour Online Certification Financial Analysis Certification FinTech Certification Online 2 HR Analytics Certification Online Communication Courses Online Effective Communication Certification 3 Research Methodology Certification Mastering Sales Certification Business Communication Certification 4 Fundamentals of Journalism Certification Economics Masterclass Online Certification upGrad’s Exclusive Product Management Webinar for you – How to craft GTM Strategy for a Product? document.createElement('video'); https://cdn.upgrad.com/blog/panel-discussion-on-crafting-gtm-strategy-for-a-product.mp4   5. UserVoice UserVoice highlights the importance to collect and analyse data for firms. The app retrieves and organises data so that the users can derive insights from the feedback provided by customers. UserVoice analyses the feedback by providing reports and allowing you to act upon the feedback. UserVoice, simply put, is your substitute for a, or tool version of a data analyst. Top 21 Tech Product Marketing Tools for Startups in 2017 6. Slack Slack is one of the most popular product management tools to be used by renowned firms. It emphasises the comfort and transparency colleagues should have while communicating with each other. It allows Product Managers to allocate channels of communication for various teams, private conversations or even the entire team as a whole. A beneficial feature that comes along with Slack is the ability to keep up with competitors. It promotes and improves each other’s ideas as well. Slack comes with its own distinct sub-apps to make the process of communication more interactive and unique. 7. Quip If we’ve convinced you to use Slack, you’ll fall for Quip too. In simple terms, Quip is a combination of the dynamic duo that is Google Docs and Slack. Once a team member has completed their respective assignment, they can choose to receive feedback and inputs from the rest of the team. They can even extend the collaboration to other departments of the firm. Quip will increase the engagement amongst firms and motivate everyone to be involved. Our Top Management Articles Top 7 Career Options in Management To Choose [For Freshers & Experienced] Online Product Management Courses to Kickstart your Career Top 10 Career Options in Business Management in India 8 Crucial Business Management Skills Every Manager Should Have Future Scope of Management: Scope, Salary, Career Opportunities Career Options After MBA – Highest Paying Management Jobs 5 Key Skills Required for Successful Management Career & How To Achieve Those Skills? What is The Nature and Scope of Management? Importance of Management in Every Organisation – [A Complete Guide] 8. RescueTime Whether you’re stuck in the vicious cycle of procrastination or simply trying to hone your time management skills, the name of the app speaks for itself. RescueTime has the ability to extract data from your computer’s database to monitor the time you spend on each app or website. This allows you to self-assess your efficiency and will make you more conscious about the allotment of your time or even block distractions. The Ultimate Product Management Resource List 9. Infusionsoft Maximise your customer engagement in the most efficient and time-saving way with Infusionsoft. Infusionsoft is the best platform to organize your contacts, segment them and track the engagement. You won’t even have to hire an Email Marketing Manager because Infusion will reach out to a wide audience with personalised and relevant emails to optimise your marketing performance. With all your customer engagement occurring on Infusionsoft, it will even analyse the data collected and will help you run a successful website and business. 10. Intercom Intercom was established around five years ago with the aim of moving all communication media concerned with marketing, sales and customer service to a single platform. Intercom prevents the fear of addressing customers as “spam” and builds connections with users. The features available on Intercom will allow you to reach out to your audience in the form of articles, providing support and even conducting live chats. Intercom will ensure your company has a well-established customer lifecycle.  11. Aha!  Aha! emphasises a product’s roadmap. It enables the Product Manager to visualise data through diagrams and offers a number of tools to enhance the product development and management. The app’s management system will allow users to build on pre-existing reports. It’ll keep track of feature releases and will eventually compile your roadmap into a story. As a Product Manager, Aha! will ease the process of making vital decisions and will ensure improvements. 12. UXCam UXCam allows your business to look beyond analytics and take your customer experience to another level. The app will literally allow you to record all user activity and remove all facades of user behaviour. The transparency created through UXCam will enable you to make better decisions for your products without disrupting the functioning of your app. 13. Google Analytics Google Analytics is the best approach to improving your customer’s experience through digital analytics. Experts say that there is no better source for insight than Google. The app will allow you to evaluate every facet of your business on one platform and share it with your team. Not only will Google Analytics measure the performance of your business, but the resources provided to you will allow you to make it a huge success. 14. Balsamiq Never fear about an idea being wiped off a whiteboard again. Balsamiq is basically your whiteboard on a computer and will allow your team to generate ideas from every corner. It is the perfect app to manage and evaluate ideas in order to discover the best solutions. Each sketch will be tracked with a revision history and everyone can contribute to them. Continue sketching your ideas on a whiteboard, just do it more professionally and collaboratively with Balsamiq! The Ultimate Product Management Resource List 15. Invision Invision is the perfect app to stimulate your team’s productivity and creativity, with a focus on prototypes. It allows members to collaborate and interact with the features of presenting and taking notes of the prototype. It’ll improve your team’s communication and performance. Eventually ensuring a boost in profits and customer satisfaction for your firm. Buy yourself some free time along with the subscription to either of these product management tools. They have been established with the prime purpose to ease off the responsibilities of Product Managers. It also promises to drive collaboration and overall improvement. Never miss a step in your product’s development again! Study Product Management Courses online from the World’s top Universities. Earn Masters, Executive PGP, or Advanced Certificate Programs to fast-track your career. Featured Program for you: Design Thinking Certification Program from Duke CE