Data Specialist
US Remote
Applications have closed
About Us:
YipitData is the leading market research firm for the disruptive economy and recently raised $475M from The Carlyle Group at a valuation of 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 data 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 Norwest Venture Partners and The Carlyle Group. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, and Seattle. We cultivate a strong people-centric culture focused on mastery, ownership, and transparency.
About the Role:
This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located) or anywhere in the US, including any of our several offices listed above.
YipitData is rapidly growing, and we plan to launch many more data products over the next few years. We currently have 80+ Data team members in our Investor and Data Feeds businesses who create and maintain our data products, and we are looking to further expand the team to continue to increase our product portfolio. Those with strong analytical skills are encouraged to apply.
At YipitData, we value ownership and impact. While nearly everyone enters the Data Specialist position at the same level, starting compensation is based on years of relevant experience. Our career ladder also rewards strong performance with frequent compensation increases and promotions.
Check out why some of our current Data Specialists love working here!
In this role, you will:
- Be the primary owner of high impact work such as running or building new data products end-to-end, running centralized data ingestion pipelines that the broader Data team relies on, or building clean granular data feeds that help clients dive into data.
- Work with massive amounts of data to help answer our clients’ key questions about the companies we cover and the datasets we analyze. You will learn about our proprietary methods and techniques to ensure data accuracy and derive key insights.
- Become a trusted and reliable resource for our internal stakeholders or clients and work with them to identify and answer their key questions. You'll gain insight into how investors use data in their investment decisions by contributing to data feeds, custom analysis, or data reports that are consumed by the top investors in the world.
- Improve our products, data pipelines, or data feeds by developing entirely new methodologies and features for our products, exploring and scaling use across the data team of new third-party datasets, or creating new modules to make our raw feeds data experience better. We value self-improvement and experimentation and expect you to enhance the products, pipelines, or data feeds that you own.
- Learn or sharpen existing SQL and Python skills starting with our two month new hire training program that will teach you SQL, PySpark, and Python fundamentals as well as our internal tools and processes.
You Are Likely To Succeed If:
- You have a strong ownership mentality and want to ensure our products are the best in the world
- You have strong attention to detail
- You are a methodical problem solver
- You can clearly communicate complex concepts, both orally and written
- You strive to make tasks as efficient as possible
- You have an ability to manage multiple priorities
- You are experimental and curious - you aren’t afraid of changing the status quo
- You are enthusiastic about making a big impact at a rapidly growing company
What We Offer:
- Our compensation package includes competitive salary and comprehensive benefit offerings.
- Opportunities to build a career as a manager or individual contributor through our career ladder that promotes based on impact. You will have regular career conversations with your manager where you will discuss your short and long-term career goals. We are committed to helping you develop in your career and offer the potential for internal mobility opportunities
- We care about your personal life, and we actually mean it. We offer flexible work hours, a hybrid work environment, unlimited vacation, a generous 401K match, parental leave, team events, a wellness budget, learning reimbursement, WFH budget for remote workers, and more!
- Through our HR platform, you’ll get to choose from a variety of health plans starting at no monthly out-of-pocket premium, dental, vision, 401k match, and commuter benefits!
- Your growth at YipitData is determined by the impact that you make, not by tenure, unnecessary face-time, 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 base salary for this position is anticipated to be $70K-$95K. The final offer may be determined by a number of factors, including but not limited to: the applicant's experience, knowledge, skills, and abilities, as well as internal team benchmarks.
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, Denver, Mountain View, and Seattle. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
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.
Tags: Data pipelines E-commerce Market research Pipelines PySpark Python Research SQL
Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Flex vacation Health care Parental leave Startup environment Team events Unlimited paid time off Wellness
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