---
title: 'Data Specialist at YipitData (Alternative)'
canonical: 'https://feeny.ai/job/data-specialist-yipitdata-alternative-india-zrytzv65cvef'
type: 'job'
last_seen: '2026-09-09'
---

# Data Specialist at YipitData (Alternative)

- **Company:** YipitData (Alternative)
- **Location:** India
- **Work type:** remote
- **Posted:** 2025-08-06
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/yipitdatajobs/jobs/7140594

## 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](https://www.inc.com/profile/yipitdata) 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.

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, 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.

[Job Applicant Privacy Notice](https://www.yipitdata.com/careers/job-applicant-privacy-notice)

## About YipitData (Alternative)

## Company Overview
- **One-liner**: YipitData provides market intelligence to brands and investors by tracking trillions in live consumer and business spend through proprietary data sources.
- **Entity Type**: Private (Venture Capital-backed)
- **Headquarters**: New York, NY, USA (19 W 44th Street, 16th Floor)
- **Founded**: 2013 (founded as Yipit; company rebranded to YipitData)
- **Founders**: Vinicius Vacanti (Co-Founder & CEO)

## Core Business
- Primary industry: Market Intelligence, Data & Analytics, Business/Productivity Software
- Target customers: B2B — focused on hedge funds, asset managers, brands, retailers, and M&A advisory firms
- Mission statement: "To give brands and investors the market intelligence they need to see what’s happening right now and take action."

## Products & Services
- **Proprietary Data Network**: Combines owned B2C and B2B panels with 40+ always-on sources including B2B spend, cloud spend, consumer receipts, and card transactions.
- **AI Insight Agent**: An AI-powered tool allowing users to ask questions in plain language about a company, market, or competitor and receive structured, actionable analysis.
- **Benchmarking & Market Share**: Tools to compare public or private company growth, pricing, and customer metrics against competitors, broken down by region, channel, or segment.
- **Consumer Insights**: Analysis of who is buying, how often, and why — including cross-shopping, churn, and average spend.
- **Trend Spotting**: Early identification of shifts in consumer behavior before they appear in earnings calls or public reports.
- **M&A Advisory & Diligence**: Data validation for target companies, including revenue trajectory and market position.

## Market Standing
- **Valuation**: Not publicly disclosed (PitchBook reports the company as venture capital-backed with a "Later Stage VC" status)
- **Key Metric**: Over $1.8 trillion in B2B spend tracked; covers 500,000+ companies; 650+ customers
- **Total Funding**: Approximately $475M raised in a Series E round led by Carlyle (December 2021), with subsequent debt refinancing and later-stage rounds through 2025
- **Notable Investors**: Carlyle (lead in Series E), 16 total investors per PitchBook
- **Growth Signals**: 800+ employees globally; location-flexible with offices in NYC, APAC, Latin America, and India; recent M&A acquisition of Edison (Communication Software) in September 2021

## Competitive Advantages
- **Proprietary Data Network**: Owns and operates its own B2C and B2B panels, combined with 40+ licensed datasets (card transactions, receipts, web data, app usage) — not reliant on third-party model outputs.
- **Real Transaction Data**: Insights are "powered by real transactions, not model outputs," providing a high degree of accuracy for high-stakes investment decisions.
- **Dedicated Analyst Support**: Pairs data infrastructure with dedicated analysts to help clients move from signal to action.
- **Broad Coverage**: Tracks trillions in live consumer and business spend across 500,000+ companies.

## Strategic Focus
- **AI-Powered Insights**: Continued investment in the AI Insight Agent to deliver structured, plain-language analysis.
- **Global Expansion**: Hiring across the US, APAC, Latin America, and India.
- **Product Depth**: Enabling users to drill into data by time period, region, channel, or segment, and view panel sizes and collection methods behind each insight.
- **M&A & Diligence**: Growing the advisory side to validate targets and stress-test assumptions with hard data.

## Why Work Here
- **Culture**: Built on ten core values: Impact, Judgment, Protective, Efficiency, Transparency, Self-Improvement, Experimental, Selflessness, Inclusivity, and Positivity. Described as hiring "sprinters, not coasters" — people who choose growth over comfort.
- **Work Model**: Location-flexible — supports fully remote, hybrid, and fully in-office work. Offices in NYC, plus employees across the US, APAC, Latin America, and India.
- **Growth & Ownership**: Emphasizes high expectations, impact, and ownership. "If your ambition is matched by your work ethic... YipitData is the opportunity you’ve been waiting for."
- **Team**: 800+ employees globally. Leadership includes experts in data science, finance, technology, sales, and research (e.g., Steve Pulec, CTO; James Hart, President; Steve Seperson, CFO).
- **Benefits**: Employee benefits mentioned include supporting remote/hybrid/in-office work options.

## Sources
1. [yipitdata.com](https://www.yipitdata.com/)
2. [yipitdata.com](https://www.yipitdata.com/careers/about)
3. [yipitdata.com](https://www.yipitdata.com/about)
4. [yipitdata.com](https://www.yipitdata.com/careers)
5. [pitchbook.com](https://pitchbook.com/profiles/company/13431-79)

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