Growth Marketing Data Analyst Contractor - ETL, AWS, Databricks, SQL, Python

Role Overview

We are looking for a contractor based in India to provide 40-hours worth of marketing data

analytics support per week. As part of the Marketing team, you will be responsible for enabling

data-driven decision making across lifecycle management, retention, and acquisition marketing

initiatives. You will partner closely with lifecycle marketing, growth, and product teams to design

tracking, generate insights, and optimize user journeys through the funnel.

Your role will focus on analyzing customer behavior, tracking key marketing metrics, and

providing actionable recommendations to improve conversion, retention, and engagement

across channels. The role also demands AI implementations in databricks to improve overall

efficiency of analytics.

Key Responsibilities

Develop dashboards and automated reports tracking funnel performance, campaign

effectiveness, and cohort retention metrics.

Build scalable data transformation which can be used as a base layer for AI integration

Translate business objectives into clear analytical frameworks and deliver insights that

influence marketing and lifecycle strategy.

Collaborate with Data Engineering to ensure reliable data pipelines and scalable

reporting structures.

Present insights and recommendations to stakeholders through visualizations and

concise storytelling.

Core Skills Required

Strong analytical and problem-solving skills with the ability to translate data into

actionable insights.

Proficiency in databricks tool, preferred if worked on databricks previously

Experience with SQL and Python for statistical analysis or automation

Experience with Tableau for data visualization

Experience in ETL development [Databricks, AWS S3]

Strong communication and data storytelling skills for cross-functional collaboration.

Proactive thinker & self starter

Familiarity with task management tools like Jira, Monday, etc

Ability to work confidently with ambiguity, turning nebulous ideas into tangible results

Qualifications

Education: Bachelor's degree in Statistics, Economics, Mathematics, Computer

Science, Engineering, or a related quantitative discipline.

Experience: Minimum 3+ years of experience in Marketing Analytics, Product

Analytics, or Customer Lifecycle analytics roles.

Previously worked on AI/BI tools in Databricks is a plus point

Connect to me at [Confidential Information] for more details