About this role.
YipitData is seeking a mid-level Data Product Analyst to own data quality and high-impact analytics deliverables for corporate retail clients. The role combines hands-on analysis of large consumer datasets with QA design, investigation of complex pipeline issues, and improvement of product classification and attribution. The analyst will work independently while partnering with Insights and Engineering teams and explaining methodology, coverage, and limitations to clients. Success requires strong SQL, Python or PySpark, experience with panel or sample data, and the ability to prioritize several client-focused projects in a fast-moving environment.
Role DNA
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Job Complexity
4/5Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
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Core skills
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Sample interview questions
I would first quantify the discrepancy, identify the affected dimensions and time periods, and compare the output with prior validated results. I would trace the issue through source ingestion, transformation logic, classification rules, and aggregation steps, documenting hypotheses and findings. After validating the root cause, I would implement a fix, back-test it, add a preventive QA check, and clearly explain the impact and remediation to stakeholders.
I would use SQL for scalable exploration, reconciliation, and aggregation directly in the warehouse or Databricks environment. Python would support deeper statistical checks, anomaly detection, sampling analysis, reusable validation scripts, and visual investigation. I would automate the key checks and maintain clear thresholds, alerts, and documentation so the process is repeatable.
I begin with the client decision the data will inform, then state what the dataset reliably measures before explaining the key limitations in plain language. I use concrete examples, quantify potential impact when possible, and distinguish between observed facts and estimates. I also offer practical guidance on how to use the data appropriately alongside complementary sources.
I would describe the original bottleneck, such as a manual reconciliation or recurring transformation failure, and establish its operational and quality impact. I would then map the process, automate repeatable steps, introduce validation checkpoints, and measure improvements in turnaround time and error rates. Finally, I would document the workflow and share standards with peers to make the improvement durable.
I assess each request by client impact, data-risk severity, deadline, dependencies, and the effort required to reach a reliable result. I communicate trade-offs early, align priorities with the relevant leads, and break work into milestones so urgent risk can be addressed first. I keep stakeholders updated on status, assumptions, and any changes that may affect delivery timing or quality.
About Us:
YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.
What It’s Like to Work at YipitData:
YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.
From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
Why Top Talent Chooses YipitData:
- Ownership That Matters: You’ll lead high-impact projects with real business outcomes
- Rapid Growth: We compress years of learning into months
- Merit Over Titles: Trust and responsibility are earned through execution, not tenure
- Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention
If your ambition is matched by your work ethic—and you’re hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.
About The Role:
YipitData’s Corporate team collaborates directly with organizations like Ulta, 3M, and Scotts Miracle-Gro to build one of the most comprehensive views into how consumers in the U.S. are purchasing and engaging with brands. By transforming massive volumes of consumer data into accurate, reliable, and actionable insights, we enable our clients to understand not just what is happening in their businesses, but why—and to use that understanding to make higher-confidence decisions in an increasingly competitive landscape.
As part of our continued growth, we are expanding the Data team within our Corporate practice and are excited to welcome a Data Analyst to help deliver high-impact, data-driven products to our Retail clients.
This is an excellent opportunity for a professional with 4-6 years of experience who is eager to deepen their data analysis skill set, gain direct exposure to clients, and join a rapidly growing team at YipitData. In this role, you will independently manage data quality end-to-end, resolve complex issues across data pipelines and sources, improve category classification and product attribution, collaborate closely with cross-functional partners to ensure our data is accurate, reliable, and clearly understood and help our clients understand our methodology and data limitations.
This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth, enjoys helping clients get the most value from our data, able to communicate complex problems in simple terms to internal and external stakeholders.
As a Data Product Analyst at our Retail team, you will:
- Ramp up quickly to become the primary owner of high-impact data deliverables, driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency
- Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products & client deliverables
- Serve as a trusted resource for our clients and internal stakeholders by understanding client needs and aligning them with our data methodologies, limitations, and coverage
- Independently investigate and resolve complex data quality issues
- Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value, and develop technical solutions that streamline workflows, optimize data processes, and expand automation
- Proactively identify opportunities to improve efficiency, robustness, and data quality within your team’s workflows, and mentor peers accordingly
You Are Likely To Succeed If:
- You have 4-6 years of experience in data analytics, data operations, or consulting
- You have 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets; Familiarity with Github and Databricks
- You have experience using sample or panel data to make precise estimates that guide decision-making
- You have a proven track record of quickly learning new concepts, particularly complex data methodologies
- You can clearly communicate complex concepts, both orally and in writing
- You have a strong ownership mentality and are enthusiastic about making a big impact at a rapidly growing company
- You can manage multiple projects simultaneously, independently prioritize tasks, and make strategic decisions based on client needs
- You enjoy mentoring peers and raising the quality bar through shared standards and best practices
- Preferred: Experience supporting market intelligence or data analytics for consumer clients at a consulting or alternative data company, with a strong understanding of their business needs
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 on-target earnings for this position is anticipated to be up to $150K + bonus eligible. 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.
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, 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.
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