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1) SQL ,
2) SQL Join Aggregation( GROUP BY, HAVING)
3) Python
4)( API ETL )
5)
1) CTE, Subquery Window Function
2)(Python/R),
3)
4)
Senior Analyst
1),
2)
3)
[Key Responsibilities]
1) Use SQL to extract, join, and aggregate data from relational databases to build analysis-ready datasets
2) Perform data cleaning, transformation, and preprocessing using Python
3) Extract and integrate data from multiple sources, including databases, APIs, and ETL pipelines
4) Partner with cross-functional stakeholders to understand business problems and define key metrics
5) Translate analytical findings into actionable insights to support business and product decisions
6) (Senior level) Lead analytical initiatives, ensuring high-quality outputs and timely delivery
7) (Senior level) Build, validate, and continuously iterate predictive models using Python/R, including pandas for modeling workflows
[Required Qualifications]
1) Hands-on SQL experience with the ability to clearly articulate real-world use cases and problem-solving approaches
2) Strong understanding of SQL joins and aggregations
3) Practical experience using Python for data cleaning, preprocessing, and analysis
4) Experience with data extraction and integration, such as API usage, ETL processes, or automated pipelines
5) Ability to clearly communicate analytical results and their business impact to stakeholders
[Preferred Qualifications]
1) Experience with CTEs, subqueries, and window functions
2) Proven ability to independently lead end-to-end analysis and predictive modeling projects (Python/R)
3) Experience improving data workflows, automation, or analytical efficiency
4) Familiarity with product, operational, or business performance metrics
[What We Look for in a Senior Analyst]
1) Ability to define business problems and success metrics, not just execute analysis
2) Strong business acumen and stakeholder communication skills
3) Ownership of analytical outcomes with a focus on measurable business impact
Job ID: 138842007