Data Specialist

YipitData; Mumbai; Remote; INR 600,000 - 1,200,000; Full time

Benefits offered by this job

Flexible work hours

Flexible vacation

Parental leave

Wellness budget

Learning reimbursement

Job summary

YipitData in India is seeking a Data Specialist to map products to customer category needs using a blend of manual tagging and machine learning insights. The role focuses on data accuracy, attribution, and timely project delivery for retail and brand clients.

The position is fully remote in India, with overlap with US teams during onboarding and periodic check-ins to align on expectations and goals. You will work closely with analytics and product teams to drive high-quality data operations.

Qualifications

• 1-4yrs of experience with a strong technical background including Python, PySpark and/or SQL.
• RegEx experience is not mandatory but would be a nice-to-have.
• Proficiency in data analysis, tagging systems, and machine learning tools.

Responsibilities

• Work with corporate retail and brand customers to understand their category structures and product attribution requirements.
• Map products to customers' category needs using manual tagging and machine learning tools.
• Apply strong judgement to ensure data mapping aligns with customer specifications and business goals.
• Collaborate with cross-functional teams to plan and deliver projects on time with high accuracy.
• Continuously monitor and improve product attribution processes to increase efficiency and quality.
• Leverage technical skills to enhance data operations tools and processes.
• Maintain meticulous attention to detail and accuracy in data mapping.
• Take accountability for delivering projects and meeting client expectations.

Skills

Python

PySpark

SQL

RegEx

Data analysis

Tagging systems

Machine learning tools

Retail data

Attention to detail

Problem-solving

Communication

Multi-tasking

Tools

Python

PySpark

SQL

Job description

Official Title

Data Specialist

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 Specialist 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 Specialist 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 judgement. 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 Specialist, 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 judgement 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…

• 1-4yrs 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.

If you are a proactive, technically skilled individual with a passion for data and product attribution, we invite you to join our dynamic team! Apply today to help shape the future of data operations for our retail and brand customers.

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.