Data Operations Analyst

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 (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), 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:

The Data Operations Analyst plays a critical role in transforming messy, raw product data into high-quality metrics that our retail and brand customers rely on to analyze performance and make decisions. The core of this role is applying strong judgment to shape imperfect data into consistent, scalable, and analytically meaningful outputs.

Each customer has unique business questions, data structures, and definitions of success. The Data Operations Analyst 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. This role requires strong analytical thinking, comfort working with incomplete or inconsistent data, and accountability for delivering reliable metrics at scale.

As Our Data Operations Analyst, You Will:

• Transform raw, messy product and transaction data into structured, customer-ready metrics.
• Apply judgment to resolve ambiguity in data, including handling incomplete, incorrect, or inconsistent inputs.
• Define and implement rules and logic that make data analytically meaningful and comparable over time.
• Build and maintain mappings, benchmarks, and normalization approaches that allow customer data to be analyzed at scale.
• Execute product categorization and attribution when needed as part of broader metric-building workflows.
• Identify data quality issues and determine appropriate tradeoffs when perfect data is not available.
• Collaborate with cross-functional teams to plan and deliver data projects on time and with high accuracy.
• Ensure consistency and reliability of outputs across customers while accounting for customer-specific nuances.
• Continuously improve processes and workflows to increase efficiency, accuracy, and scalability.
• Take ownership of deliverables and be accountable for the quality and usability of the final data.

You Are Likely To Succeed If You Have…

• 1–3 years of experience working in a data-focused role such as data operations, analytics, research, or data quality.
• Strong analytical judgment and comfort making decisions in ambiguous or imperfect data environments.
• Experience turning raw data into structured outputs, metrics, or analyses that others rely on.
• The ability to reason through edge cases, inconsistencies, and tradeoffs in real-world data.
• High attention to detail paired with an understanding of how data decisions impact downstream analysis.
• Strong problem-solving and critical-thinking skills.
• The ability to manage multiple projects and priorities while maintaining accuracy and accountability.
• Clear communication skills, including the ability to explain data assumptions and decisions to internal stakeholders.  
• Experience using SQL, Python, or similar tools for data exploration, validation, or automation.
• Advanced English proficiency (B2–C1 or higher).

Technical Skills (Helpful but Not Required):

• Comfort working with large datasets using spreadsheets, internal tools, or data platforms.
• Familiarity with data transformation, data quality checks, or analytics workflows.
• Exposure to product, retail, or consumer data is a plus.

What We Offer:

• Our compensation package includes competitive salary and comprehensive benefit offerings. 
• Opportunities to build a career as a manager or individual contributor through our career ladder that promotes based on impact. You will have regular career conversations with your manager where you will discuss your short and long-term career goals. We are committed to helping you develop in your career and offer the potential for internal mobility opportunities
• We care about your personal life, and we mean it. We offer flexible work hours, a remote-first work environment, flexible vacation, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you make, 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.
• Personal laptop
• Health and wellness package

Candidates must have primary residency (and be physically located) in the country of hire (AKA Brazil/Colombia) 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.