Now, let’s go over each of the key market research analyst skills in more detail:
1. Data Analytics
Data analytics is an essential skill for market research analysts to extract meaningful insights from large datasets. Proficiency in tools like Excel, SQL, and R is essential for manipulating and analyzing data effectively.
According to a report from Forbes, companies that effectively use data analysis are 5 times more likely to make decisions faster than their competitors, emphasizing the crucial role of this skill.
Relevant Applications:
- Analyzing customer behavior and preferences to predict future trends.
- Identifying market opportunities and gaps based on data insights.
- Conducting competitor analysis to evaluate market positioning and threats.
Example: A market research analyst working at an e-commerce company uses SQL to extract data from the customer database. By analyzing customer purchasing behavior, they identify a growing trend in the demand for eco-friendly products. This insight helps the company adjust its inventory, plan marketing strategies targeting environmentally conscious customers, and forecast future demand for eco-friendly products.
If you’re wondering how to extract insights from simple datasets, the free Excel for Data Analysis Course is a perfect starting point. The certification is an add-on that will enhance your portfolio.
Also Read: Statistics & Data Analysis: A Beginner's Guide
2. Statistical Analysis
Statistical analysis is a vital skill for market research analysts, enabling them to interpret data and make predictions using tools like SPSS and SAS. With businesses relying on data to guide strategic decisions, analysts must apply methods like regression analysis, hypothesis testing, and A/B testing. According to the American Statistical Association, the demand for statistical expertise is at an all-time high, with many industries requiring analysts who can interpret complex data.
Relevant Applications:
- Conducting A/B testing to evaluate the performance of marketing campaigns or product features.
- Using regression analysis to understand relationships between variables, like price and demand.
- Testing hypotheses to validate business assumptions and market trends.
Example: A market research analyst at a digital marketing agency uses regression analysis to evaluate the impact of email subject lines on open rates. By testing different subject lines through A/B testing, the analyst determines which types of emails resonate most with the target audience. The findings are used to refine email campaigns, boosting open rates and customer engagement.
If you want to learn more about statistical analysis, upGrad’s free Basics of Inferential Statistics course can help you. You will learn probability, distributions, and sampling techniques to draw accurate conclusions from random data samples.
3. Survey Design & Analysis
Survey design and analysis are key skills for market research analysts to gather and interpret consumer opinions and feedback. Platforms like SurveyMonkey and Qualtrics are essential tools for designing effective surveys that produce reliable results.
Relevant Applications:
- Designing surveys to gather customer satisfaction, product feedback, or market trends.
- Analyzing survey responses to identify key insights and areas for improvement.
- Conducting market research studies to understand customer preferences and needs.
Example: A market research analyst at a consumer goods company designs a survey using Qualtrics to gather feedback on a new product launch. The survey reveals that customers are highly satisfied with the product's eco-friendly packaging but want improvements in the product's scent. This feedback leads to changes in the product's formulation, ultimately driving greater customer satisfaction and sales.
4. Market Segmentation
Market segmentation is the process of dividing a broad consumer or business market into smaller groups based on characteristics like demographics, behaviors, or needs. Market research analysts use segmentation models to tailor marketing strategies and target specific customer groups more effectively. According to Nielsen, 68% of global consumers prefer to buy products from brands that are tailored to their personal preferences.
Relevant Applications:
- Segmenting the market based on demographics, psychographics, or purchase behavior.
- Identifying target audiences for specific product offerings or marketing campaigns.
- Customizing marketing strategies to resonate with specific consumer segments.
Example: A market research analyst at a clothing brand segments the customer base based on age, location, and purchasing habits. Through segmentation, the analyst identifies that millennial customers in urban areas are most interested in sustainable fashion. The company launches a targeted marketing campaign to appeal to this segment, resulting in a 20% increase in sales from the millennial demographic.
5. Data Visualization
Data visualization is essential for market research analysts to present complex data in a clear and visually appealing format. Tools like Tableau, Power BI, and Google Data Studio are widely used to transform raw data into meaningful charts, graphs, and dashboards. A report from Gartner highlights that organizations using data visualization are 28% more likely to make data-driven decisions.
Relevant Applications:
- Creating dashboards to monitor key performance indicators (KPIs) and market trends.
- Designing graphs and charts to visualize customer insights and survey results.
- Presenting complex datasets in a format that’s easy for non-analysts to understand.
Example: A market research analyst at a tech startup uses Tableau to create an interactive dashboard that visualizes real-time website traffic and customer engagement metrics. By presenting this data to the marketing team, the analyst helps them identify which marketing channels are driving the most traffic, allowing the company to optimize its online advertising strategy.
If you want to know how to visualize data with Tableau, upGrad’s free Tableau Certification course can help you. You will learn data analytics, transformation, and visualization using various chart types to generate actionable insights.
Also Read: Top 10 Data Visualization Tips You Should Know In 2025
6. Consumer Behavior Analysis
Consumer behavior analysis is the study of how individuals make purchasing decisions and what factors influence their buying patterns. Tools like Google Analytics help analysts track online behavior, such as browsing habits and purchase histories.
According to a report from McKinsey, understanding consumer behavior is critical for companies aiming to create personalized customer experiences and improve retention rates.
Relevant Applications:
- Analyzing web traffic to understand consumer interests and preferences.
- Identifying buying triggers and pain points to optimize product offerings and marketing strategies.
- Studying customer behavior patterns to predict future purchasing trends.
Example: A market research analyst at an online retailer uses Google Analytics to track how users interact with product pages. They discover that consumers who view customer reviews are 30% more likely to make a purchase. The company enhances its product pages by featuring more prominent customer reviews, leading to a boost in conversion rates.
Decoding what drives customer action can be easy with upGrad’s free Introduction to Consumer Behavior course. You will explore the psychology behind purchase decisions, discover proven behavior models, and learn how leading brands influence buying habits.
7. Competitor Analysis
Competitor analysis is a critical skill for market research analysts, allowing them to understand competitors' strategies and market positioning. Tools like SEMrush, SpyFu, and Crunchbase enable analysts to monitor competitors' online activities and business performance.
According to a report from Harvard Business Review, companies that conduct regular competitive analysis are more likely to outperform their competitors.
Relevant Applications:
- Analyzing competitor pricing, marketing strategies, and product offerings.
- Identifying strengths, weaknesses, opportunities, and threats in the competitive landscape.
- Monitoring competitor growth and performance to inform business strategy.
Example: A market research analyst at a software company uses SEMrush to monitor competitors' keyword rankings and online ad performance. They find that a competitor is targeting an underserved niche in the market. The analyst recommends that the company develop a similar product tailored to this niche, leading to increased market share.
Also Read: Top Free Competitor Analysis Tools to Boost Your Strategy
8. Advanced Excel Skills
Advanced Excel skills are essential for market research analysts, allowing them to manipulate large datasets, create complex models, and generate detailed reports. Functions like pivot tables, vlookups, macros, and formulas are crucial for performing in-depth analysis.
Relevant Applications:
- Analyzing large datasets using pivot tables and complex formulas.
- Automating repetitive tasks with macros and advanced functions.
- Creating detailed financial models and reports for decision-makers.
Example: A market research analyst at a financial firm uses advanced Excel skills to create a pivot table that tracks client portfolio performance. By applying macros, they automate the data entry process, saving hours of manual work and improving the accuracy of their reports, which are used by senior management to guide investment strategies.
Also Read: Top 15 Ways to Improve Excel Skills [Actionable Tips]
9. Reporting & Presentation Tools
Effective communication is a key skill for market research analysts, and proficiency in reporting and presentation tools is essential for conveying insights to stakeholders. Tools like PowerPoint, Google Slides, and Canva are widely used to create visually engaging presentations that highlight key findings.
Relevant Applications:
- Creating compelling presentations to share research findings with stakeholders.
- Designing reports that are visually appealing and easy to understand.
- Presenting data-driven recommendations to guide business decisions.
Example: A market research analyst at a consulting firm uses PowerPoint to create a presentation showcasing the results of a customer satisfaction survey. The presentation includes interactive charts and clear takeaways, which the client uses to implement changes in their product offerings, leading to improved customer satisfaction and retention.
Before presenting insights, you need to accurately assess patterns in data. This is where upGrad’s free Analyzing Patterns in Data and Storytelling course can help you. You will learn pattern analysis, insight creation, Pyramid Principle, logical flow, and data visualization. It’ll help you transform raw data into compelling narratives.
Also Read: How to Improve Communication Skills: Ultimate 2025 Guide
10. CRM & Database Management
CRM and database management skills are vital for market research analysts who need to collect, organize, and analyze customer data. Familiarity with CRM systems like Salesforce helps analysts manage customer relationships and extract valuable insights.
According to a report by Salesforce, CRM data can increase sales by 29%, improve customer retention by 27%, and increase productivity by 34%.
Relevant Applications:
- Managing customer data and tracking interactions across various channels.
- Analyzing customer behavior and engagement using CRM platforms.
- Segmenting customers based on purchasing history, preferences, and demographics.
Example: A market research analyst at a retail chain uses Salesforce to track customer interactions and purchasing history. By analyzing CRM data, they identify a high-value customer segment that frequently purchases premium products. The analyst works with the marketing team to design a targeted loyalty program, resulting in a 15% increase in repeat purchases from this segment.
Are you interested in knowing how to structure, create, and manage databases using MySQL Workbench? upGrad’s free Introduction to Database Design with MySQL course covers ER models, normalization, SQL queries, and relational schema concepts.
Also Read: What is DBMS? Exploring Tools, Techniques & Applications
Now that we’ve covered the top technical market research analyst skills, let’s look at the key soft skills required for the market research analyst job role: