Senior Data Analyst - R/Python

Description :

- Oversee the design, development, and optimization of complex SQL queries and data models for business insights.

- Drive the creation and automation of dashboards and analytical reports using tools such as Mixpanel, Tableau, Power BI, and Excel.

- Partner with cross-functional teams to define, maintain, and evaluate KPIs and business

metrics that drive strategic and product decisions.

- Ensure data accuracy, governance, and standardization across multiple systems and sources.

- Translate data findings into strategic recommendations and presentations for senior leadership.

- Monitor user behavior, performance trends, and product metrics to identify opportunities for growth and improvement.

- Establish best practices and frameworks for analytics, reporting, and data-driven decision-

making.

- Collaborate with technology teams on data integration, ETL processes, and system

enhancements.

Requirements :

leadership or team management role.

- Strong proficiency in SQL (preferably MSSQL) with proven ability to handle large datasets and

complex queries.

- Expertise in data visualization tools such as Tableau, Power BI, and Excel (advanced formulas,

dashboards, and automation).

- Hands-on experience or deep understanding of Mixpanel or similar event-based analytics

tools.

- Demonstrated experience in defining and managing KPIs, performance metrics, and reporting frameworks.

- Exceptional analytical, problem-solving, and communication skills with the ability to influence

stakeholders at all levels.

- Proven ability to manage multiple priorities and deliver under tight deadlines in a fast-paced, agile environment.

Nice to Have :

- Proficiency in Python or R for advanced data analysis and automation.

- Experience with event-based or product analytics tools such as Amplitude or Segment.

- Background in data modeling, ETL pipelines, or cloud-based data platforms (e.g., Azure, AWS).

- Experience establishing data quality and governance frameworks.

Why Join Us :

- Lead a high-impact data team and shape the companys data strategy.

- Work closely with leadership to drive business growth through insights.

- Be part of a culture that values innovation, collaboration, and continuous learning.

- Opportunity to influence key product and strategic decisions through data.