Collaborate with data science to analyze user behavior (installs, churn, feature adoption) and map the user journey, identify conversion bottlenecks to optimize the funnel and engagement.
Evaluate acquisition, onboarding, and re-engagement campaigns by measuring key metrics like CAC, LTV, and ROI to provide data-driven recommendations for channel optimization and testing.
Build and maintain automated dashboards in Tableau or Power BI to track app adoption KPIs, provide actionable insights to Product, Marketing, and Leadership stakeholders.
Define user segments based on demographics and behavior to inform personalized marketing strategies and prioritize product development for maximum returns.
Synthesize complex datasets into compelling narratives and visual presentations, translate technical findings into clear, strategic recommendations for non-technical audiences.
Minimum qualifications:
Bachelor's degree in a research or quantitative field (e.g., Social Sciences, Statistics, Mathematics, Bioinformatics, Economics, etc.) or equivalent practical experience.
3 years of experience designing, scoping, executing, and delivering research and analysis projects.
3 years of experience translating business problems into research questions and translating research findings and insights into marketing recommendations.
Experience managing research and measurement agencies.
Preferred qualifications:
3 years of experience with qualitative research methods and approaches.
3 years of experience with sampling, survey writing, and analysis of survey data including weighting and assessing data quality.
3 years of experience with designing experiments, analyzing data from experiments, and summarizing findings.
3 years of experience analyzing and manipulating data sets to leverage data insights into presentations for business stakeholders.
Experience with data querying languages (e.g. SQL) and tools to work with data sets.
