Data Specialist

YipitData; United States; Remote; USD 65,000 - 90,000; Full time

Benefits offered by this job

Flexible work hours

Flexible vacation

401K match

Parental leave

Team events

Wellness budget

Learning reimbursement

Job summary

YipitData is seeking a Data Operations Analyst for a fully remote role based in India. You will map products to customer attribution requirements using manual tagging and ML tools, with overlap hours in US time zones during onboarding.

Flexibility in standard hours applies afterward, supporting cross-border collaboration and high-precision data work. The ideal candidate has 1–2 years of technical experience (Python, PySpark, SQL), strong data analysis skills, and attention to detail.

Qualifications

• 1-2 yrs of experience building a strong technical background with Python, PySpark, and/or SQL.
• Experience with data analysis, tagging systems, and ML tools is preferred.
• Knowledge of consumer product data and retail/brand data helps.
• Attention to detail and ability to deliver high-quality, accurate results.

Responsibilities

• Understand category structures and product attribution requirements for customers.
• Map products to customer category needs using tagging and ML tools.
• Apply judgment to ensure mappings meet specifications and business goals.
• Collaborate with cross-functional teams to plan and deliver projects on time.
• Continuously monitor and improve attribution processes for efficiency and quality.
• Leverage technical skills to enhance data operations tools and processes.
• Maintain accuracy and accountability in all mapping tasks.

Skills

Python

PySpark

SQL

RegEx

Data analysis

Tagging systems

Machine learning tools

Communication

Collaboration

Tools

Machine learning tools

RegEx

Job description

Official Title: 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 developing custom product attribution based on unique customer needs. Each of our corporate retail and brand customers thinks about the structure of their categories in slightly different ways, and the Data Operations Analyst will execute the mapping of products to their requirements using a combination of manual tagging and machine learning tools. Interpretation and execution design require strong judgment. The ideal candidate should bring a combination of technical skills, knowledge of consumer product data, strong attention to detail, and accountability to plan and deliver projects on time with a high degree of accuracy.

This is a fully-remote opportunity based in India.

• During onboarding and training period, we expect several hours of overlap with US time zones.
• Afterward, hires should be available for meetings and check-ins with their US managers and colleagues; however, outside of these specific times, standard work hours can be flexible.

As Our Data Operations Analyst, You Will:

• Work with corporate retail and brand customers to understand their category structures and product attribution requirements.
• Execute the mapping of products to customers' category needs, utilizing both manual tagging and machine learning tools.
• Apply strong judgment and interpretation skills to ensure that data mapping aligns with customer specifications and business goals.
• Collaborate with cross-functional teams to plan and deliver projects on time, ensuring high levels of accuracy and precision.
• Continuously monitor and improve product attribution processes to increase efficiency and quality.
• Leverage technical skills to enhance existing processes and tools that support data operations.
• Maintain strong attention to detail and ensure accuracy in every aspect of the data mapping process.
• Take accountability for successfully executing projects, including meeting deadlines and client expectations.

You Are Likely To Succeed If You Have…

• 1-2yrs of experience developing a strong technical background, including applied Python, Pyspark, and/or SQL skills
• RegEx experience is not mandatory but would be considered a nice-to-have skill
• Proficiency in data analysis, tagging systems, and machine learning tools.
• Knowledge of consumer product data and experience working with retail or brand data.
• Exceptional attention to detail, with a focus on delivering high-quality, accurate results.
• Excellent problem-solving and critical-thinking skills.
• The ability to manage multiple tasks and projects while maintaining a high degree of accuracy.
• Strong communication and collaboration skills to work with internal teams and external clients.
• Proven ability to execute projects efficiently and meet deadlines.

Preferred Skills for This Position Include:

• Experience with data management platforms, product attribution systems, or machine learning tools.
• Familiarity with data mapping, tagging, and categorization practices.

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 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.

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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