Crossian

Overview of job

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, wedrives 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.

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

• Competitive Compensation: Base salary plus performance bonuses, yielding a total annual package of ~$55,000–$80,000.
• Global Scale Data: Analyze billions of daily events from storefronts, ad platforms, logistics, and customer journeys.
• Career Growth: Defined promotion paths, mentorship from senior analytics leaders, and a robust L&D budget.
• High-Impact Culture: Deliver insights and dashboards that inform C-suite strategy and multimillion-dollar decisions.
• Your Voice Matters at Crossian: You own your work and have every opportunity to showcase your capabilities.

• Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field.
• Experience:
• Intermediate: 3+ years in data analytics or business intelligence.
• Senior: 5+ years in data analytics or business intelligence in high-data-volume environments (e.g., tech, e-commerce, fintech).
• Technical Skills:
• Advanced SQL proficiency (complex joins, window functions, query optimization).
• Strong Python (Pandas, NumPy, SciPy) or R skills for data analysis and automation.
• Experience with BI tools (e.g., Looker, Tableau, Amazon QuickSight, Power BI).
• Solid understanding of data warehousing (star/snowflake schemas, ELT pipelines, orchestration).
• Analytical Expertise: Proficiency in statistical testing, experimental design, and causal inference methodologies.
• Communication: Ability to distill complex technical findings into clear, compelling recommendations for non-technical stakeholders.
• Collaboration: Proven experience in cross-functional Agile teams, with familiarity in sprint ceremonies and iterative delivery.
• Language:  Fluency in English (written and verbal).
• Preferred Qualifications (Not Required)
• Familiarity with marketing analytics platforms (e.g., GA4, Facebook Ads API, AppsFlyer).
• Experience with big data frameworks (e.g., Spark, Databricks, Flink) or cloud platforms (e.g., AWS Athena).
• Knowledge of machine learning workflows and MLOps practices.
• Proficiency with Agile tools (e.g., GitLab, Jira, Confluence, Slack) for transparent, asynchronous collaboration.