Senior Data Analyst, Data Feeds

This is a fully remote position, open to applicants in United States.

📋 Description

• Take full ownership of commercial data products from inception to completion, which includes developing methodologies, ensuring product quality, designing features, and guiding ongoing product enhancements.

• Cultivate a deep understanding of product functionalities and the investment processes they facilitate.

• Explore intricate data quality challenges across upstream datasets, product methodologies, and downstream customer results.

• Establish scalable monitoring, validation, and quality assurance frameworks.

• Collaborate with Product Managers, Data Science, and Central Data teams to discover new methodologies, datasets, forecasting capabilities, AI-enhanced features, and product offerings.

• Evaluate internal and external datasets to assess accuracy, coverage, and value for customers.

• Design experiments, quantify trade-offs, and determine what should be included in production.

• Partner with Product Managers and Client Strategy, working directly with investors to transform customer feedback into product enhancements.

• Utilize AI agents, automation, and evaluation frameworks to enhance quality assurance, documentation, methodology development, and customer-facing analytical experiences.

• Recognize opportunities to develop new analytical capabilities, enhance client workflows, and increase customer engagement with data products.

⛳️ Requirements

• Minimum of 4 years of experience in data analytics, preferably in financial services, consulting, data science, product analytics, or similar fields where intricate data informs critical decisions.

• Proficient in SQL.

• Experience with Python or PySpark for creating dependable, reusable analytical workflows.

• Capability to design products and consider how information should be organized, presented, and experienced by customers.

• Ability to construct mental models for complex datasets and navigate ambiguity to pinpoint root causes and refine methodologies.

• Proven experience leading intricate cross-functional projects that involve Product, Engineering, or analytical stakeholders.

• Skill in balancing thoroughness with practicality, making trade-offs between speed, quality, and long-term product value.

• Experience managing disorganized, evolving datasets and establishing structure, repeatability, and confidence in complex systems.

• Proficiency in communicating technical concepts, methodologies, assumptions, and trade-offs to both technical and business audiences.

• Regular use of AI tools and a keen interest in transforming the development of analytical products.

• Must not require visa sponsorship now or in the future in the United States.

🏝️ Benefits

• Flexible work hours.

• Flexible vacation policy.

• Generous 401K matching.

• Parental leave.

• Team-building events.

• Wellness budget.

• Learning reimbursement.

• Remote work opportunities within the United States.

• Comprehensive benefits package, including bonuses and equity as part of total compensation.