Senior Data Analyst

Role Description

You'll join our Consumer Goods sector team, the largest sector team at YipitData, covering major retailers and brands like Walmart, Target, Nike, Lululemon, and industry products tracking US consumer behavior and pricing. This team delivers data products and research that help the world's top investors understand consumer spending trends, market share shifts, and competitive dynamics across retail and branded goods.

This role is different from a typical Data Analyst seat. While you'll ramp onto existing products to build familiarity with our data, methodologies, and processes, the core expectation is not maintaining the current portfolio — it's pushing the boundaries of what we can offer. Working closely with the Sector Head and Research Lead, you'll focus on:

• Identifying and building new product types and research opportunities.
• Expanding into new use cases and client segments.
• Driving strategic impact.
• Raising the bar through example.

This is a role for someone who gets energy from building new things in ambiguous spaces — not someone looking to settle into a well-defined product portfolio. You'll be client-adjacent and deeply embedded in the strategic direction of one of our highest-impact sectors.

As a Senior Data Analyst, you will:

• Own high-impact data products end-to-end.
• Work with massive amounts of data to answer our clients' key questions.
• Tackle complex data problems independently.
• Use AI and tooling to drive meaningful leverage.
• Collaborate cross-functionally with Research, Engineering, and other teams.
• Drive Product and Strategic Impact.

Qualifications

• 6-8+ years of experience in data analytics.
• Expert fluency in SQL and experience using Python or PySpark.
• Proven track record of quickly learning complex data methodologies.
• Experience leading complex, ambiguous projects with multiple stakeholders.
• Ability to clearly communicate complex concepts.
• Active use of AI tools and excitement about using AI to drive leverage.

Requirements

• Background in fields like financial services, management consulting, data science, or high-growth technology.
• Strong analytical judgment to refine methodologies and solve challenges.
• Ability to influence cross-functional partners to move decisions forward.

Benefits

• Flexible work hours and vacation.
• Generous 401K match and parental leave.
• Team events and wellness budget.
• Learning reimbursement.
• Annual base compensation of $165K-$205K.
• Mix of base, bonus, equity, and benefits.
• Fully remote work within the United States.