Job description
Join Insight Nexus, a premier market research firm, as a Senior Market Research Analyst and play a key role in shaping strategic decisions for Fortune 500 clients and fast-growing startups alike.
You will design research initiatives, translate complex data into actionable insights, and partner with product, marketing, and strategy teams to drive growth. This role blends qualitative and quantitative methods to uncover customer needs, competitive landscapes, and market dynamics.
We offer a collaborative, data-driven culture, competitive compensation, and clear opportunities for career advancement.
Responsibility
- Lead end-to-end market research projects, including scoping, design, data collection, analysis, and reporting.
- Develop research frameworks using a mix of qualitative (interviews, focus groups) and quantitative (surveys, segmentation) methods.
- Create rigorous measurement frameworks and KPI dashboards to track market trends and performance.
- Analyze large datasets, build statistical models, and translate findings into actionable business recommendations.
- Collaborate with cross-functional teams to inform product strategy, pricing, positioning, and go-to-market plans.
- Prepare compelling client-ready reports, executive summaries, and data visualizations using Tableau/Power BI.
- Manage vendor relationships, oversee fieldwork quality, and ensure data integrity and compliance.
- Present insights to stakeholders and influence decision-making at senior levels.
Qualification
- Bachelor’s degree in Market Research, Economics, Statistics, Business, or a related field; Master’s degree preferred.
- 5+ years of experience in market research or a related analytics role.
- Strong proficiency in both qualitative and quantitative research methods.
- Proven track record in designing surveys, conducting interviews, and analyzing complex data sets.
- Advanced analytics skills (statistical modeling, segmentation, hypothesis testing); proficiency in SQL and data visualization tools (Tableau, Power BI).
- Experience with data collection platforms, SPSS/SAS/R, and data cleaning techniques.
- Excellent written and verbal communication; ability to present insights to non-technical audiences.
- Self-starter with strong project management, time management, and stakeholder management skills.