Related skills
data analytics aws sql python pysparkπ Description
- Lead, mentor, and develop a team of customer-facing data analysts.
- Oversee end-to-end delivery of complex, custom data products.
- Ensure high analytical and technical standards across the team (SQL, PySpark, Python).
- Act as escalation point for complex analytical challenges with hands-on guidance.
- Partner with Engineering to define scalable infrastructure and productized solutions.
- Collaborate with Advisory Services and stakeholders to deliver high-impact client solutions.
π― Requirements
- Proven experience managing and mentoring data analysts or analytics teams.
- Strong hands-on SQL and PySpark for data analysis β Must.
- Strong Python scripting experience β Must.
- Bachelorβs degree in Statistics, Computer Science, Engineering, or a related field β Must.
- Experience working directly with clients and managing stakeholder expectations β Advantage.
- AWS infrastructure experience β Advantage.
π Benefits
- Product-driven environment with global customers.
- Open dialogue culture; empower you to lead change.
- Competitive compensation and benefits; strong team culture.
- Career growth across departments and leadership paths.
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