Official Title: Data Operations Analyst About YipitData: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments, and more. Our on-demand insights team uses proprietary technology to identify, license, clean, and analyze the data many of the world s largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc s Best Workplaces . We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle , Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. Why You Should Apply NOW: We are seeking a highly skilled and detail-oriented Data Operations Analyst to play a crucial role in developing custom product attribution solutions based on unique customer needs. This position requires a deep understanding of consumer product data, a strong combination of technical abilities, and a proactive approach to delivering high-quality results. The Data Operations Analyst will work closely with our corporate retail and brand customers, who may have different approaches to organizing and structuring their categories. Your primary responsibility will be to map products to customer requirements using a blend of manual tagging and machine-learning tools. 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 vacation time, medical insurance, parental leave, 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. The annual salary for this position is anticipated to be 16,60,000 - 20,75,000 (INR). The final offer may be determined by a number of factors, including, but not limited to, the applicants experience, knowledge, skills, and 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

About YipitData: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments, and more. Our on-demand insights team uses proprietary technology to identify, license, clean, and analyze the data many of the world s largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc s Best Workplaces . We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle , Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. Why You Should Apply NOW: You ll be working with many strategic engineering leaders within the company. You ll report directly to the Director of Data Engineering. You will help build out our Data Engineering team presence in India. You will work with a Global team. You ll be challenged with a lot of big data problems. About The Role: We are seeking a highly skilled Senior Data Engineer to join our dynamic Data Engineering team. The ideal candidate possesses 6-8 years of data engineering experience. An excellent candidate should have a solid understanding of Spark and SQL, and have data pipeline experience. Hired individuals will play a crucial role in helping to build out our data engineering team to support our strategic pipelines and optimize for reliability, efficiency, and performance. Additionally, Data Engineering serves as the gold standard for all other YipitData analyst teams, building and maintaining the core pipelines and tooling that power our products. This high-impact, high-visibility team is instrumental to the success of our rapidly growing business. This is a unique opportunity to be the first hire in this team, with the potential to build and lead the team as their responsibilities expand. This is a hybrid opportunity based in India. During training and onboarding, we will expect several hours of overlap with US working hours. Afterward, standard IST working hours are permitted with the exception of 1-2 days per week, when you will join meetings with the US team. As Our Senior Data Engineer You Will: Report directly to the Senior Manager of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques. Build and maintain end-to-end data pipelines. Help with setting best practices for our data modeling and pipeline builds. Create documentation, architecture diagrams, and other training materials. Become an expert at solving complex data pipeline issues using PySpark and SQL. Collaborate with stakeholders to incorporate business logic into our central pipelines. Deeply learn Databricks, Spark, and other ETL toolings developed internally. You Are Likely To Succeed If: You hold a Bachelor s or Master s degree in Computer Science, STEM, or a related technical discipline. You have 6+ years of experience as a Data Engineer or in other technical functions. You are excited about solving data challenges and learning new skills. You have a great understanding of working with data or building data pipelines. You are comfortable working with large-scale datasets using PySpark, Delta, and Databricks. You understand business needs and the rationale behind data transformations to ensure alignment with organizational goals and data strategy. You are eager to constantly learn new technologies. You are a self-starter who enjoys working collaboratively with stakeholders. You have exceptional verbal and written communication skills. Nice to have: Experience with Airflow, dbt, Snowflake, or equivalent. 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, parental leave, team events, 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. 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