Data Analyst - E-commerce, Marketplaces & D2C

Detailed Job Description

Job Title: Data Analyst - E-commerce, Marketplaces & D2C

Location: Bangalore

Experience Required: 4-7 years

Department: Growth / Digital / Analytics

Reports To: Head of E-commerce / Head of Growth

About the Role

We at Decode Age are more than just a wellness brand; we are a longevity ecosystem. Weleveragethe 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 brandoperatingacross all major Indian marketplaces (Amazon, Flipkart, 1mg,Nykaa, Myntra, and others) as well as D2C digital channels (Meta, Google, CRM, affiliate). We areseekinga 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 ine-commerce analytics ,marketing analytics ,data pipelines , andbusiness performance dashboards . You will work closely with category, operations, marketing, finance, and leadership teams to ensure that theorganisationoperateswith clean,timelyand actionable data.

Key Responsibilities

Data Acquisition & Engineering

• Identify, connect, andmaintainall required data sources across marketplaces, D2C, CRM, and advertising platforms, including:
• Amazon SP-API, Flipkart API, Tata 1mg reports,Nykaaseller panel, Shopify, Google Analytics/GA4, Meta Ads, Google Ads, CRM, ERP, inventory systems.
• Build automatedETL pipelines using Python, SQL, Google Cloud, AWS, or similar.
• Develop and managecentralisedData Warehouse /BigQuerydatasets .
• 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.
• Standardisemetrics definitions across teams.

Visualisation& Reporting

• Develop dashboards onPower BI, Looker Studio, Tableau orQuickSight :
• 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,APIsor workflow tools.
• Set up automated alerts for anomalies (overspends, stock-outs, negativereviewsspikes, sudden seller rank changes, etc.).

Business Insight Generation

• Conductdeep divesinto keyword performance, pricing elasticity, category demand, competitor trends, and customerbehaviour.
• Provideactionable insights to improve:
• Revenue
• Advertising efficiency
• Organic visibility
• Retention & repeat purchase
• Profitability

Cross-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 & Experience

Technical

• StrongproficiencyinSQL andPython (Pandas, NumPy, API integrations).
• Experience withPower BI / Looker Studio .
• Knowledge ofETL 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 ine-commerce, D2C, marketplaces, FMCG,nutraceuticalsor VMS preferred.
• Deep understanding of KPIs: ACOS, ROAS, TACOS, conversion, repeat rate, sell-through, market share, etc.

BehaviouralCompetencies

• 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

• Bachelors degree in engineering, Mathematics, Statistics, Computer Science or equivalent.

If interested, please share resume at