Performance Marketing Analytics

*Performance Marketing Analytics *
Experience: 3+ Years
Background: Engineering / Data / Analytics
Industry: D2C

Job Summary
We are looking for a Performance Marketing Analytics Engineer with 3+ years of experience and a strong engineering/data analytics background to drive data-led growth for our** D2C business**.

The role combines performance marketing analytics, data engineering, customer analytics, and e-commerce analytics. You will build scalable marketing data pipelines, develop dashboards and measurement frameworks, and generate actionable insights to improve customer acquisition, conversion, retention, and profitability.

Key Responsibilities
Build and maintain data pipelines integrating** Meta Ads, Google Ads**, GA4, Shopify/D2C platforms, CRM, payment systems, and other marketing channels.
Develop automated reporting and analytics solutions for D2C performance marketing.
Analyze the complete customer funnel from ad impression → click → website visit → add-to-cart → checkout → purchase → repeat purchase.
Track and optimize CAC, ROAS, CPA, CPL, AOV, LTV, conversion rate, retention, repeat purchase rate, and contribution margin.
Analyze performance across channels, campaigns, products, geographies, audiences, and creatives.
Build and maintain Power BI/Tableau/Looker Studio dashboards.
Write advanced SQL queries for data extraction, transformation, analysis, and validation.
Use Python for automation, data analysis, forecasting, and statistical analysis.
Develop marketing attribution and customer cohort analysis frameworks.
Identify customer acquisition and conversion funnel drop-offs and recommend corrective actions.
Analyze new vs. returning customers and customer lifetime value.
Support budget allocation and channel-level investment decisions.
Conduct A/B testing and experimentation for campaigns, landing pages, offers, and creatives.
Automate repetitive reporting and marketing analytics workflows.
Partner closely with Performance Marketing, E-commerce, Product, CRM, Finance, and Engineering teams.
Present data-driven recommendations to business and leadership stakeholders.

Required Technical Skills
3+ years of experience in analytics engineering, data analytics, data engineering, marketing analytics, or a similar technical role.
Strong SQL and Python skills.
Experience with data warehouses such as BigQuery, Snowflake, Redshift, or Databricks.
Experience building ETL/ELT pipelines and data models.
Hands-on experience with Power BI, Tableau, or Looker/Looker Studio.
Experience working with Google Ads, Meta Ads, GA4, and marketing APIs.
Understanding of e-commerce/D2C data and customer journeys.
Knowledge of data quality, validation, testing, and monitoring.
Experience with Git/version control.
D2C & Performance Marketing Expertise
Strong understanding of D2C/e-commerce growth metrics.
Customer acquisition and retention analytics.
CAC vs. LTV analysis.
ROAS and profitability analysis.
Product/category-level performance analysis.
Cohort and repeat-purchase analysis.
Funnel and conversion-rate optimization.
Marketing attribution and incrementality.
Budget allocation and performance forecasting.
A/B testing and experimentation.

Preferred Qualifications
B.Tech/B.E. in Computer Science, IT, Engineering, Mathematics, Statistics, or a related technical discipline.
Experience working in a D2C, e-commerce, consumer internet, or high-growth startup environment.
Experience with Shopify or other D2C commerce platforms.
Familiarity with CRM and marketing automation platforms.
Experience working with large-scale customer and transaction datasets.