Data Analyst II

About the role

You'll be joining the data feeds part of our organization, focusing on Kepler, a tractions feed that tracks over $45 billion in US consumer transactions across 600+ merchants and 200+ tickers. Our data feeds help the world's top investors understand company performance, market trends, and competitive dynamics. Kepler serves both fundamental investors, who use our data to inform research and investment theses, and systematic funds, who integrate our feeds directly into quantitative models and trading strategies. This dual audience, along with daily feed delivery on a very short lag, means the bar for accuracy, consistency, and reliability is exceptionally high.

Responsibilities

• Own Kepler data content end-to-end — driving product success by delivering best-in-class outputs with a focus on accuracy, and continuously increasing client value.
• Work with massive amounts of data and develop deep expertise in our proprietary methods and techniques, building strong mental models that allow you to ensure data accuracy, identify methodology gaps, and derive key insights.
• Tackle complex data problems using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require creative thinking — even when information is incomplete or ambiguous.
• Use AI and tooling to drive meaningful leverage — increasing speed, reducing manual work, and automating portions of workflows.
• Build repeatable processes, maintain a high bar for correctness and quality, and validate AI-generated outputs.
• Use AI to drive client-value — you will write prompts and run automated evaluation processes to ensure our client-facing Kepler Insight Agent is accurate and able to answer the questions our customers are asking.
• Collaborate cross-functionally with Research, Engineering, and other teams — coordinating across functions to unblock work, align on best practices, and develop solutions that streamline workflows and optimize data processes.
• Help our customers understand the data by handling high-complexity questions about anomalies and trends in the data that our first line of support can’t handle.

Requirements

• You have 4-6+ years of experience in data analytics, with a background in fields like financial services, management consulting, data science, or high-growth technology — or another environment where you worked with complex data to drive high-stakes decisions.
• You have expert fluency in SQL and experience using Python or PySpark, including building reliable, reusable analysis workflows.
• You have a proven track record of quickly learning complex data methodologies and building strong mental models of how and why data works.
• You have led complex, ambiguous projects with multiple stakeholders — scoping the approach, driving alignment, and delivering outcomes — with a strong bias toward action and ownership.
• You can clearly communicate complex concepts — including methodology, risks, and tradeoffs — and influence cross-functional partners to move decisions forward.
• You actively use AI tools and are excited about using AI to drive leverage — not just productivity, but fundamentally better and faster ways of working.

Qualifications

• Expertise in SQL and Python or PySpark.
• Experience with complex data methodologies and the ability to build strong mental models.
• Proven track record of leading complex, ambiguous projects with multiple stakeholders.
• Strong communication and influencing skills.
• Experience with AI tools and enthusiasm for leveraging AI to drive better and faster ways of working.

Skills

• SQL
• Python or PySpark
• Data analysis
• Complex problem-solving
• Communication and influencing skills
• AI tools and automation

Benefits

• Comprehensive benefits
• Flexible work hours
• Generous 401K match
• Parenthood leave
• Team events
• Wellness budget
• Learning reimbursement

Pay

The annual base compensation for this position is anticipated to be $165K-$185K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. The total compensation package includes a mix of base, bonus, equity, and benefits.

Schedule

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. Income may be subject to New York State tax withholding.