Senior Analytics Engineer

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Base pay range

$75.00 / hr - $110.00 / hr

About Eleven Recruiting

We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for best pay, diversity in tech, and best job-fit for every candidate we place.

Our client, an investment firm, is seeking a Senior Analytics Engineer to join their team in Los Angeles, CA!

The Analytics Engineer will contribute to the design, maintenance, and development of logical, relational, and dimensional data models across the firm\'s data warehouse environment. This individual will play a pivotal role in shaping the overall data architecture, ensuring the effective design, implementation, and ongoing optimization of the firm\'s internal and enterprise data assets.

Responsibilities :

• Work closely with cross-functional stakeholders to assess current data architecture and develop future-state architectures that align with organizational goals.
• Lead discussions around business requirements, data needs, and technological capabilities to ensure that solutions meet both present and future needs.
• Analyze data to test theories and further the development of the data models.
• Prototype solutions in analytics tools to help user interact with and test solutions.
• Ensure that models are aligned with business requirements and that they can evolve with future data demands.
• Provide thought leadership on best practices in data modeling, and work to create scalable, efficient data models that support business objectives.
• Diagnose data issues, perform in-depth data analysis, and collaborate with stakeholders to develop and implement solutions.
• Identify and analyze atypical data outcomes, perform root cause analysis, and implement corrective actions.
• Develop strong partnerships with internal teams to uncover and define new data sources and structures that will support business growth.
• Ensure that all data architectures and models adhere to internal data governance policies and comply with security standards (including PHI masking, information security regulations, and other IT-enforced controls).
• Work with data governance teams to ensure that best practices are followed, reducing risk across the enterprise.
• Ensure all data models, processes, and requirements are clearly documented and that timelines and milestones are properly established and adhered to.

Qualifications :

Knowledge, Skills & Abilities :

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