Senior Data Analyst, Data & AI Team, Global ECommerce Platform

ABOUT THE ROLE
Step into the engine room of one of the fastest-growing Global eCommerce Platform. At Crossian, Data isn't just a support function, we drives every strategic move, from multimillion-dollar campaigns to product launches that reach millions of customers globally.
As a Senior Data Analyst in our high-impact Data & AI Team, you won't just crunch numbers, you'll shape the company's trajectory and lead the innovation. You'll be the trusted data partner for Crossian leaders across Marketing, Growth, Finance, Supply Chain, and Product, turning complex business questions into razor-sharp analytical strategies that influence real decisions and real outcomes.
We're scaling from $200M to unicorn $1B, and your insights will directly power that journey. In this Agile, fast-paced environment, you'll lead with experimentation, uncover hidden opportunities in billions of datapoints, and turn data into decisions that move markets. If you're looking to a workplace to challenge yourself and win, Crossian is your place.
WHAT YOU WILL DO
Business Partnership & Insight Generation

• Translate ambiguous business challenges into structured analytical problems, defining KPIs and success metrics.
• Query, clean, and model data using SQL and Python from sources like Snowflake, BigQuery, and real-time event streams.
• Conduct deep-dive analyses on key metrics (e.g., CAC, ROAS, AOV, inventory turnover, churn predictors).
• Design and analyze experiments (A/B, multivariate), providing statistical power calculations, confidence intervals, and clear definitions of success for stakeholders.

Dashboarding & Self-Service Analytics

• Develop real-time dashboards in tools like Amazon QuickSight, PowerBI to monitor funnel performance, campaign effectiveness, and operational SLAs.
• Build semantic layers and reusable data marts to enable self-service analytics for non-technical teams.

Data Quality & Governance

• Collaborate with Data Engineering to define data contracts and validation checks, ensuring trusted and up-to-date datasets.
• Monitor data pipelines, implement anomaly detection, and manage alerting for metric drift or pipeline failures.

Advanced Analytics & Forecasting

• Build predictive models and segmentation analyses to forecast demand, customer LTV, or marketing spend efficiency (optional for Intermediate; expected for Senior).
• Synthesize findings into concise, actionable deliverables, presentations, memos, or dashboards that drive strategic decisions.

Cross-Functional Collaboration

• Embed within Product, Marketing, and Operations sprints to integrate data-driven insights into feature development and rollouts.
• Mentor junior analysts and contribute to best practices in code review, analytical methodology, and documentation.