Walk-in || Market Research Analyst at Shandilyam… · Noida

Role & responsibilities

• Data Collection & Gathering: Design and conduct surveys, opinion polls, questionnaires, and focus groups to capture primary customer data.
• Secondary Market Research: Research industry trends, competitor activities, market size, and economic indicators using published reports and databases.
• Data Analysis & Interpretation: Process statistical data using tools like SPSS, R, Python, SQL, or Excel to uncover consumer preferences and buying habits.
• Competitor Intelligence: Monitor competitors' pricing, marketing strategies, market share, and product offerings to identify gaps and opportunities.
• Consumer Behavior Tracking: Segment target audiences based on demographics, psychographics, and purchasing behaviors to optimize targeting strategies.
• Reporting & Visualization: Build dashboards and translate complex qualitative/quantitative data into clear executive summaries and reports.
• Strategic Recommendations: Present actionable findings to product, marketing, and leadership teams to guide pricing, branding, and product launches.
• Campaign & ROI Evaluation: Assess the effectiveness of past marketing campaigns and sales strategies to continuously refine future initiatives.

Preferred candidate profile

. Educational Background

• Required: Masters degree in Marketing, Business Administration, Economics, Statistics, Mathematics, Data Analytics, or Psychology.
• Preferred: Master’s degree (MBA, M.Sc. in Data Analytics, Applied Statistics, or Marketing Research) for mid-to-senior level roles.

2. Professional Experience

• 1–3 years of prior experience in market research, data analysis, business intelligence, or marketing analytics (for mid-level roles).
• Demonstrated track record of designing, executing, and analyzing both primary (surveys, focus groups) and secondary market research projects.

3. Technical & Analytical Skills

• Data Tools: Proficiency in statistical and analytics software such as Advanced Excel, SPSS, R, Python, SAS, or SQL.
• Data Visualization: Hands-on experience creating dashboards using Power BI, Tableau, or Google Looker Studio.
• Survey Platforms: Familiarity with survey tools like Qualtrics, SurveyMonkey, or Typeform.
• Web & Industry Analytics: Exposure to Google Analytics, social listening tools, or industry databases (e.g., Nielsen, Mintel, Statista).

4. Soft Skills & Key Competencies

• Analytical Thinking: Ability to synthesize complex, unstructured data into clear, actionable business recommendations.
• Storytelling & Presentation: Strong verbal and written communication skills to present insights visually to non-technical stakeholders.
• Attention to Detail: High accuracy in checking data sets for anomalies, bias, and inconsistencies.
• Project & Time Management: Ability to manage multiple research projects simultaneously under tight deadlines.

5. Preferred Certifications (Bonus)

• Google Data Analytics Professional Certificate.
• Certified Market Research Analyst (CMRA) or equivalent industry credential.