Senior Business Analyst

Job Description

What You’ll Do :

1. Data Analysis & Business Insights :

– Analyse large and complex datasets to uncover actionable insights that improve product performance and business outcomes.

– Build dashboards, reports, and self-service analytics that enable teams to make informed decisions.

– Identify trends, anomalies, and opportunities across user acquisition, engagement, retention, monetisation, and operational metrics.

2. Product & Customer Analytics :

– Deeply understand customer behaviour, user journeys, and product funnels to identify areas for optimisation.

– Perform cohort analysis, funnel analysis, segmentation, and retention analysis to improve user experience.

– Measure the impact of new product launches, features, and experiments using data.

3. Business Strategy & Decision Support :

– Partner with Product, Marketing, Growth, Finance, and Engineering teams to solve business problems using data.

– Translate complex analyses into clear recommendations for business stakeholders and leadership.

– Forecast business performance and support strategic planning through data-backed insights.

4. KPI Management & Experimentation :

– Define, monitor, and optimise key business and product metrics including DAU, MAU, Retention, Conversion, AOV, CAC, LTV, Revenue, and GMV.

– Design and evaluate A/B tests and experiments to validate product and business hypotheses.

– Develop frameworks to monitor business health and identify early warning signals.

5. Process Improvement :

– Identify opportunities to automate reporting, improve data quality, and streamline analytical workflows.

– Collaborate with cross-functional teams to improve operational efficiency and customer experience.

What You’ll Bring :

Experience :

– 4 – 7 years of experience in Business Analytics, Product Analytics, or Growth Analytics within a B2C/D2C product company or high-growth startup.

– Experience working closely with Product Managers, Growth, Marketing, and Business teams.

Analytical Skills:

– Strong analytical and problem-solving skills with experience working on large datasets.

– Ability to convert complex data into clear business recommendations and measurable outcomes.

Technical Skills :

– Strong proficiency in SQL (mandatory).

– Advanced Excel skills.

– Experience with Tableau, Power BI, Looker, or similar BI tools.

– Exposure to product analytics tools such as Mixpanel, Amplitude, Google Analytics (GA4), or Firebase Analytics is preferred.

– Working knowledge of Python or BigQuery is a plus.

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