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Detailed Job DescriptionJob Title: Data Analyst - E-commerce, Marketplaces & D2CLocation: BangaloreExperience Required: 4-7 yearsDepartment: Growth / Digital / AnalyticsReports To: Head of E-commerce / Head of GrowthAbout the RoleWe at Decode Age are more than just a wellness brand; we are a longevity ecosystem. We leverage the latest scientific advancements and data to provide the best nutraceuticals, tests, knowledge and means to extend human health span and lifespan. We are a fast-growing brand operating across all major Indian marketplaces (Amazon, Flipkart, 1mg, Nykaa, Myntra, and others) as well as D2C digital channels (Meta, Google, CRM, affiliate). We are seeking a highly skilled Data Analyst who can own the full analytics lifecycle-data acquisition, pipeline creation, ETL automation, visualisation, reporting, forecasting, insights generation, and ongoing data governance.The ideal candidate will have deep experience in e-commerce analytics, marketing analytics, data pipelines, and business performance dashboards. You will work closely with category, operations, marketing, finance, and leadership teams to ensure that the organisation operates with clean, timely and actionable data.Key ResponsibilitiesData Acquisition & Engineering- Identify, connect, and maintain all required data sources across marketplaces, D2C, CRM, and advertising platforms, including: - Amazon SP-API, Flipkart API, Tata 1mg reports, Nykaa seller panel, Shopify, Google Analytics/GA4, Meta Ads, Google Ads, CRM, ERP, inventory systems. - Build automated ETL pipelines using Python, SQL, Google Cloud, AWS, or similar. - Develop and manage centralised Data Warehouse / BigQuery datasets. - Maintain data integrity, versioning, error handling, and scheduled refreshes.Data Modelling & Analytics- Build models and transformations to compute KPIs such as: - Category share, marketplace scorecards, PPC KPIs, profitability, contribution margins, ROAS, retention cohorts, CLTV, CAC, inventory projections, revenue forecasts, listing conversions, and rankings. - Standardise metrics definitions across teams.Visualisation & Reporting- Develop dashboards on Power BI, Looker Studio, Tableau or QuickSight: - Daily marketplace dashboards - PPC dashboards (search terms, bids, ACOS/ROAS trends) - D2C performance dashboards (funnel, attribution, remarketing) - Inventory forecasting dashboards - Leadership/Executive dashboards - Create automated reporting suites (daily/weekly/monthly).Automation & Process Efficiency- Automate repetitive reporting tasks using scripts, APIs or workflow tools. - Set up automated alerts for anomalies (overspends, stock-outs, negative reviews spikes, sudden seller rank changes, etc.).Business Insight Generation- Conduct deep dives into keyword performance, pricing elasticity, category demand, competitor trends, and customer behaviour. - Provide actionable insights to improve: - Revenue - Advertising efficiency - Organic visibility - Retention & repeat purchase - ProfitabilityCross-functional Collaboration- Work with E-commerce, Performance Marketing, Product Development, Finance, and Operations to ensure alignment. - Present findings to leadership with clear data storytelling.Required Skills & ExperienceTechnical- Strong proficiency in SQL and Python (Pandas, NumPy, API integrations). - Experience with Power BI / Looker Studio. - Knowledge of ETL tools (Airflow, Fivetran, AWS Glue, or custom scripts). - Experience handling marketplace and advertising data. - Strong understanding of GA4, attribution, and D2C analytics. - Experience with forecasting models (time series, regression). - Familiarity with Google Analytics, Shopify Analytics, and GTM - Working knowledge of major marketing channels: Google Ads, Meta Ads, Amazon Ads.Functional / Domain- Prior experience in e-commerce, D2C, marketplaces, FMCG, nutraceuticals or VMS preferred. - Deep understanding of KPIs: ACOS, ROAS, TACOS, conversion, repeat rate, sell-through, market share, etc.Behavioural Competencies- Detail-oriented and structured thinker. - Strong problem-solving and analytical capabilities. - High ownership and bias for automation. - Ability to work cross-functionally in a fast-paced environment.Education- Bachelor’s degree in engineering, Mathematics, Statistics, Computer Science or equivalent.If interested, please share resume at hr@