Data Product Specialist for YipitData (Central Data team)

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 Here:

• 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:

We’re currently working on expanding our Central Data Team to increase our product portfolio with members who build, create and maintain our data products. Those with strong analytical skills who are passionate about data and excited to scale quickly to deliver top-tier products to our clients are encouraged to apply. 

The Data Associate plays a critical role in transforming messy, raw product data into high-quality metrics that our customers rely on to analyze performance and make decisions.

The core of this role is applying strong judgment to shape imperfect data into accurate, consistent, scalable, and analytically meaningful outputs. This requires understanding what the data represents, identifying where it can go wrong, and developing the methodologies, business logic, and QA needed to make it trustworthy.

Our data often presents complex, ambiguous problems with no obvious right answer. You may construct a representative panel from imperfect source data, identify and account for sources of sample bias, investigate outliers, create an index, develop rules to classify and enrich data, map entities into consistent taxonomies, or use regex and LLM-based approaches to solve difficult tagging problems.

Each customer has unique business questions, data structures, and definitions of success. The Data Associate works closely with internal teams to interpret these needs, resolve ambiguity in the underlying data, and design solutions that balance accuracy, scalability, and customer expectations. You’ll be accountable not just for producing an answer, but for understanding why it’s correct, where it could be wrong, and how confident we should be in it.

This is a data problem-solving role rather than primarily a business intelligence or reporting role. Success requires strong analytical thinking, intellectual curiosity, comfort working with incomplete or inconsistent data, and a willingness to dig deeply into the details to make the data better.

This is an excellent opportunity for a professional with 3–5 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 at an early stage. As a Data Associate, you will independently manage data quality end-to-end, resolve complex issues across data pipelines and sources, and collaborate closely with cross-functional partners to ensure our data is accurate, reliable, and clearly understood.

As a Data Associate, you will:

• Ramp up quickly to become the primary owner of high-impact data products, 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. Ensure data accuracy and reliability across assigned sector products & client deliverables 
• Solve complex data problems. Develop methodologies and business logic to transform, classify, enrich, normalize, and validate imperfect data.
• Work with massive amounts of data to answer important questions. Use our proprietary methods and techniques to understand why our data works, not just how to produce it.
• Investigate data quality and accuracy issues. Dig into anomalies, outliers, inconsistencies, and unexpected patterns to understand their root causes and develop robust solutions.
• Identify and account for sources of error and bias. Understand how sampling, coverage, source-data limitations, and other factors can affect the accuracy and interpretation of our metrics.
• Use AI and tooling to work smarter. Leverage AI for queries, investigations, debugging, tagging, and repetitive tasks while rigorously validating its outputs.
• Become a trusted resource for internal stakeholders and clients. Contribute to data feeds, custom analyses, and reports while helping teams investigate and answer important questions.
• 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 3-5 years of experience in data analytics, data operations, or consulting.
• You have 3+ years of experience working with programming languages such as SQL, Python, Pyspark, or others, to explore and transform large, complex datasets; familiarity with Github and Databricks is beneficial.
• 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 are intellectually curious about data. You want to understand how data is generated, what it represents, and where it might be wrong rather than simply taking it at face value.
• You enjoy ambiguous problems. You’re comfortable when there isn’t an obvious right answer and can develop, test, and refine a methodology based on evidence.
• You communicate clearly, both orally and in writing – including proactively sharing progress, blockers, and updates.
• You have a strong ownership mentality and are enthusiastic about making a big impact at a rapidly growing company.
• You are able to 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.

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 vacation time, team events 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.
• 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.
• Flexible PTO for any reason, including sick days (no specified limits)
• Personal laptop
• Health and wellness package

Candidates must have primary residency (and be physically located) in the country of hire (AKA Colombia/Brazil) in order to be considered for the position. If hired, the worker must maintain primary residency in the country of hire in order to be eligible for employment.

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.