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Nubra in Bengaluru is seeking a Growth & Data Analyst to own analytics infrastructure, build scalable dashboards, and drive data-driven growth across acquisition, activation, and retention. You will partner with Marketing, Product, and Engineering to implement measurable improvements.
The role focuses on analysing customer behaviour, identifying opportunities, and guiding experiments to enhance funnel performance and business outcomes. A dynamic, data-driven environment awaits.
Location: Bangalore (On-site/Hybrid)
Experience: 47 years
Function: Marketing & Growth
Reports to: VP Marketing & Growth
Nubra is a SEBI-registered trading platform built for active traders and investors. We're building a data-driven growth engine where analytics powers every acquisition, activation, and retention decision. As we scale, we're looking for a Growth & Data Analyst who can go beyond reporting to uncover insights, drive experimentation, and directly influence business growth.
We're looking for a Growth & Data Analyst to own the analytics infrastructure that powers our growth function. You'll build scalable dashboards, analyse customer behaviour, identify growth opportunities, and partner with Marketing, Product, and Engineering teams to improve funnel performance through data-driven experimentation. This is an ideal role for someone who enjoys solving business problems with data, building analytical frameworks, and driving measurable business outcomes.
Build and maintain end-to-end funnel and cohort analysis across acquisition, KYC, funding, activation, trading, and retention.Develop scalable dashboards and automated reporting for marketing performance, funnel health, and business KPIs.Analyse customer behaviour to identify bottlenecks, growth opportunities, and optimisation priorities.Own funnel performance metrics by diagnosing drop-offs, forming hypotheses, and measuring experiment outcomes.Design, analyse, and evaluate A/B tests to improve acquisition, activation, retention, and customer lifetime value.Build LTV, CAC, cohort, and attribution models to support marketing investment decisions.Partner closely with Performance Marketing and CRM teams to connect acquisition, lifecycle, and retention performance.Collaborate with Product and Engineering teams to implement data-driven improvements and measure business impact.
Improved funnel conversion across key customer journey stages.Accurate and automated business reporting with minimal manual effort.Successful implementation and measurement of growth experiments.Improved marketing efficiency through better LTV:CAC analysis.Actionable insights that directly influence business and product decisions.