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
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. This is a remote opportunity based in India. Standard IST working hours are permitted with the exception of 2-3 days per week, when you will join meetings with the US and LatAm team. On these days, work hours will be between 2:30 - 10:30pm IST. (Please note that we allow for flexibility on the following days to make up for the previous day s late work schedule!) 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 YipitData analyst teams, building and maintaining the core pipelines and tools that power our products. As a Senior Data Engineer on this high-impact, high-visibility team, you will help set technical direction and drive key projects that enable the success of our rapidly growing business. In this role, you ll collaborate with analysts, data engineers, and stakeholders to design, debug, and optimize high-performance data pipelines in Databricks, while also mentoring teammates and helping expand the team s capabilities. 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. Own the design, build, and continuous improvement of end-to-end data pipelines and the surrounding platform. Define and evangelize technical standards (coding, data-modeling, monitoring) for the team. Mentor and pair-program with other engineers; provide architectural and code reviews. Lead deep-dive performance-tuning initiatives (Spark UI analysis, cluster configuration, shuffle reduction). Evaluate and introduce new Databricks / AWS capabilities that improve reliability or efficiency. Translate ambiguous business questions into scalable, production-ready data solutions with clear SLAs. Produce high-quality documentation, architecture diagrams, and internal training sessions. 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. Proven track record of setting best practices for data modelling, governance, and CI/CD.. You are comfortable working with large-scale datasets using PySpark, Delta, and Databricks. Comfortable steering technical roadmaps and negotiating priorities with senior stakeholders. Able to balance long-term architecture thinking with hands-on execution under tight timelines. 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. Job Applicant Privacy Notice
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 youre 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: We are seeking a highly skilled Data Pipeline Engineer to join our dynamic Data Engineering team. The ideal candidate possesses 5 - 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 is the gold standard for 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. In this role, you ll work closely with analysts, data engineers, and stakeholders to design, debug, and refine high-performance data pipelines in Databricks, while also helping to train and support internal users as the team s responsibilities expand. This is a remote 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 Data Pipeline 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. Design, build, and maintain reliable data pipelines that power key products and analyses. Detect and resolve performance bottlenecks using Spark UI, logs, and metrics. Contribute ideas to improve data models, coding standards, and ETL workflows across the team. Collaborate with analysts and other engineers to convert business requirements into scalable datasets. Participate in code reviews, author clear documentation, and share learnings through demos and write-ups. Continuously deepen your expertise in Databricks, Spark, and AWS by owning increasingly complex projects. 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 5+ 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. 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! Job Applicant Privacy Notice
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