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High-Level Data Strategist
3 weeks ago
Elevate your career in data analytics as a Quant Analytics Manager, leading innovative AI solutions.
This role involves fostering a culture of continuous learning among a team of data engineers and analysts. Key responsibilities include:
- Team Leadership: Lead and mentor a team of data engineers and analysts to foster growth and development.
- Data Pipeline Development: Design, develop, and maintain large-scale data processing pipelines for optimal performance.
- Cross-Functional Collaboration: Collaborate with cross-functional teams to translate business objectives into AI-driven solutions.
- Data Expertise: Serve as a data expert, providing guidance to stakeholders on data-related matters.
- Advanced Dashboards: Develop advanced dashboards and reports using SAS Visual Analytics, QlikSense, and Tableau.
- AI Roadmap Partnership: Partner with AI Product teams to drive the AI roadmap and strategic decisions.
The successful candidate will possess the following skills and qualifications:
- Degree Requirement: Bachelor's degree in Business Analytics, Data Science, Computer Science, or a related field.
- Analytical Skills: Strong analytical skills with the ability to uncover insights from business and data contexts.
- Leadership Experience: 8+ years of experience in data models and analytic solutions, focusing on leadership roles.
- ETL/ELT Processes: Extensive experience with ETL/ELT processes in cloud-based data lake platforms.
- Programming Languages: Proficiency in SQL, Python, and Alteryx for data analysis and transformation.
- Business Intelligence Tools: Expertise in SAS Visual Analytics, QlikSense, and Tableau.
- Communication Skills: Exceptional communication skills for effective stakeholder collaboration.
- Project Management: Proven ability to manage multiple large-scale projects simultaneously.