Senior Data Analyst, Investor

YipitData (Alternative); United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

401K match

Parental leave

Wellness budget

Learning reimbursement

Flexible work hours

Job summary

YipitData is seeking a Senior Data Analyst to join a sector-focused team and build robust analytical data products. You will own end-to-end datasets, ensure accuracy, and derive actionable insights for leading clients.

The role emphasizes ownership, growth, and the use of AI to enhance analytical workflows. We welcome applicants with 4+ years in data analytics, strong SQL and Python/PySpark skills, and the ability to turn complex data into scalable products.

Qualifications

• 4+ years of experience in data analytics.
• Advanced SQL skills and Python or PySpark for building automated workflows.
• Ability to turn complex datasets into scalable methods and products.
• Strong ability to learn unfamiliar industries and datasets quickly.
• Comfort working in ambiguous settings and owning problems beyond the obvious.
• Clear communication of methodologies, risks, and tradeoffs to diverse audiences.

Responsibilities

• Own data products end-to-end, delivering accurate outputs and client value.
• Work with massive datasets to support client questions and insights.
• Refine methodologies, test new datasets, and solve complex data challenges.
• Leverage AI tools to speed up workflows and maintain output quality.
• Collaborate with Research, Engineering and Product to improve workflows.

Job description

YipitData is a market research and analytics firm that helps investment funds and Fortune 500 companies understand company performance, market trends, and competitive dynamics. Our proprietary technology analyzes billions of alternative data points to produce insights that inform important business and investment decisions.

We operate globally, with offices in the US, APAC, and India. Our people-centered culture—recognized by Inc. as a Best Workplace for three consecutive years—is built around transparency, ownership, and continuous learning.

What It's Like to Work Here

• Ownership is real, not aspirational. Analysts own data products from methodology development through delivery and directly influence products used by leading investment firms.
• Growth is driven by impact, not tenure. Scope and responsibility expand as fast as you can demonstrate you're ready.
• AI is a core working tool. We're actively rebuilding how analytical work gets done—using AI agents, automation, and new tooling to fundamentally change what's possible.

About the Role

You’ll join one of our sector teams, covering industries such as consumer goods, software, or financial services. These teams build and maintain the analytical data products our clients rely on to understand companies and markets.

As an analyst on the team, you’ll develop deep expertise in a portfolio of proprietary datasets and methodologies. You’ll be responsible for ensuring the accuracy and reliability of your products, improving the way they are built, and identifying insights and opportunities that create value for clients.

You’ll initially work closely with a Data Lead to learn our datasets, methodologies, and quality standards. As your expertise grows, you’ll take on greater ownership, tackle more complex products, and help shape how your team works.

This role is well suited to someone who enjoys solving difficult analytical problems, cares deeply about accuracy, and wants to build data products that people depend on—not simply deliver one-off analyses.

We’re open to hiring this role at multiple levels. While the position is posted as Senior Data Analyst, we encourage applications from candidates with a range of experience who can demonstrate strong analytical judgment, ownership, and growth potential. Final title, scope, and compensation will be calibrated based on experience and demonstrated skills.

What You’ll Do:

• Own data products end-to-end — driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency. You'll ramp into full ownership of your products and workflows with increasing autonomy as you build expertise.
• Work with massive amounts of data to answer our clients' key questions about the companies and datasets we analyze. You'll 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. You'll build repeatable processes, maintain a high bar for correctness and quality, and validate AI-generated outputs.
• Partner with Research, Engineering, Product, and other teams to solve problems, improve workflows, and deliver high-quality products.
• Identify opportunities to improve products and processes — whether that's refining a methodology, exploring a new dataset, or finding a better way to do something. Contribute ideas that improve how your team operates and how we deliver value to clients.

Over your first year, you might:

• Develop a new methodology that significantly improves the accuracy of an existing investment product.
• Build an entirely new research product covering an adjacent market or investment theme.
• Evaluate a new alternative dataset and determine how it can strengthen existing estimates or unlock new analytical capabilities.
• Create an AI-powered analytical workflow that dramatically reduces the time required to develop recurring research.
• Design a new dashboard or AI experience that changes how clients explore sector data.

You Are Likely To Succeed If

• You have 4+ years of experience in data analytics, ideally in financial services, consulting, data science, product analytics, high-growth technology, or another environment where rigorous analysis informs important decisions. We value demonstrated capability and trajectory alongside years of experience.
• You have advanced SQL skills and experience using Python or PySpark to build reliable, reusable analytical workflows and automations.
• You enjoy turning complex datasets into scalable products and methodologies that customers rely on.
• You quickly develop strong mental models of unfamiliar businesses, industries, and datasets, then use them to improve methodologies and uncover opportunities.
• You thrive in ambiguous environments, proactively identifying what matters and taking ownership of problems beyond your immediate scope.
• You communicate complex concepts clearly—including methodologies, assumptions, risks, and tradeoffs—to technical and non-technical audiences.
• You are curious about industries, competitive dynamics, and the factors that drive company performance.
• You actively use AI tools and are excited about finding fundamentally better ways to build analytical products.

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary:

• We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
• The annual base compensation for this position is anticipated to be $140K–$190K, reflecting the range of levels at which we may hire. Final title, scope, and compensation will be determined based on the candidate’s experience, knowledge, skills, abilities, and internal team benchmarks.

The total compensation package includes a mix of base, bonus, equity, and benefits

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.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.