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Karunakar
Business Analyst
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Competencies
Demonstrated experience with SQL.
Demonstrated experience with Python.
Demonstrated experience with A/B Testing.
Demonstrated experience with Multivariate Testing.
Demonstrated experience with Product Strategy.
Education
Summary
Business Analyst open to new opportunities
Experience
Product Data Analyst
Partner closely with product managers, engineers, and UX designers to analyze customer behavior across digital and in-store channels, translating findings into feature prioritization decisions that informed 40% of the quarterly product roadmap and accelerated time-to-decision for leadership.. Design, build, and maintain SQL- and Python-based reporting pipelines and Tableau/Power BI dashboards tracking KPIs, funnel performance, and feature adoption, reducing manual reporting effort by 30% and improving data accuracy for product and merchandising stakeholders.. Design, execute, and analyze A/B and multivariate tests on new product features, search, and checkout experiences, driving a 30% improvement in conversion rate and directly informing data-backed go/no-go launch decisions for product leadership.. Conduct cohort and retention analysis on millions of customer transactions to identify churn drivers and growth opportunities, presenting insights to senior stakeholders that shaped prioritization for 40+ feature-adoption initiatives per quarter.. Define and track North Star metrics and OKRs in close partnership with cross-functional engineering and design teams, streamlining sprint planning and backlog grooming and cutting time-to-insight for product decisions by 40%.
Product Analyst Intern
Analyzed consumer lending and digital banking product data using SQL and Python to identify trends in customer acquisition, engagement, and retention, uncovering insights that contributed to a 30% lift in feature adoption for a key FinTech product line.. Conducted funnel and cohort analysis on digital payments and credit risk workflows, surfacing actionable insights that helped reduce drop-off in the application funnel by 30% and improved risk-team turnaround time by 40%.. Built executive-ready dashboards and automated reporting workflows using SQL, Python, and BI tools, cutting manual reporting effort by 40% and improving stakeholder visibility into product performance and experiment results.. Partnered with UX researchers on Voice of Customer (VoC) studies and customer segmentation across 30+ customer interviews, informing persona development and prioritization of features that improved customer satisfaction scores by 30%.. Supported hypothesis testing and multivariate experiments evaluating new product features against regulatory and compliance requirements, ensuring 40% on-time delivery of experiment readouts to product, risk, and legal stakeholders.
Product Data Analyst
Delivered end-to-end product analytics for a high-traffic e-commerce platform serving millions of users, using SQL and Python to analyze customer journeys, conversion funnels, and retention trends across 30M+ monthly sessions.. Partnered with product managers to prioritize roadmap features based on customer research, competitive analysis, and behavioral data, contributing to a 40% increase in feature adoption within two quarters of launch.. Developed and maintained Tableau and Google Data Studio dashboards tracking product KPIs and OKRs, enabling data-driven decision-making across cross-functional teams and reducing time spent compiling reports by 30%.. Designed and ran A/B and multivariate tests on product features, pricing displays, and recommendation algorithms, presenting statistically validated recommendations that drove a 40% improvement in conversion rate.. Led customer segmentation and persona development initiatives using behavioral and demographic data, supporting go-to-market strategy for 30+ product launches and improving customer retention by 30%.