Analytics Engineer

About YipitData:

YipitData is the market-leading data and analytics firm. We analyze billions of data points every day to provide accurate, detailed insights across industries, including consumer brands, technology, software, and healthcare.

Our insights team uses proprietary technology to identify, license, clean, and analyze the data that many of the world’s largest investment funds and corporations depend on. We raised $475M from The Carlyle Group at a valuation over $1B, further accelerating our growth and market impact.

We have been recognized multiple times as one of Inc’s Best Workplaces. As a fast-growing company backed by The Carlyle Group and Norwest Venture Partners, YipitData is driven by a people-first culture rooted in mastery, ownership, and transparency.

With offices in New York, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore, we continue to expand our reach and impact across global markets.

Why You Should Apply NOW:

• Rapid Growth & Impact: We’re experiencing a pivotal stage of expansion, creating ample opportunities for career progression and leadership. Your work will have a direct, immediate impact on critical business decisions across multiple industries.
• Mission-Critical Analytics: Our customers rely on our data and insights to make strategic decisions. Your contributions will be highly visible and essential to their success.
• Cutting-Edge Environment: Backed by significant investment, we’re continuously innovating our products and technologies, giving you the chance to sharpen your skills and stay on the leading edge of data analytics.

About The Role:

As an Analytics Engineer at YipitData, you will directly influence how some of the world’s top companies make critical decisions. You will work hand-in-hand with product teams, product managers, and engineering to design and implement scalable analytics solutions that turn massive amounts of data into actionable insights. 

Your responsibilities will include developing and managing the last-mile transformations that power our analytics within a petabyte-scale data lake, ensuring both efficiency and data quality at scale. You will also have the unique opportunity to work with proprietary data sources, refining and integrating them into our data ecosystem to unlock deeper, more accurate insights for our clients. 

If you are passionate about leveraging your analytics expertise to drive real-world impact, this role is for you.

We expect East Coast/etc. work hours.

As Our Analytics Engineer You Will:

• Shape decisions for top global companies by providing critical data-driven insights that inform their most impactful strategies
• Collaborate cross-functionally with product teams, product managers, and engineering to design and implement scalable analytics solutions
• Develop and manage last-mile transformations and interactive data applications that power analytics from our petabyte-scale data lake, ensuring high-quality data and efficient operations

You Are Likely To Succeed If:

• You have 3+ years of experience in data analytics, query creation (SQL), and analytics (e.g., Plotly, Tableau, Power BI, Alteryx)
• You possess excellent SQL skills and expertise for building and optimizing data workflows for visualizations, 
• You have experience with frontend data visualization tools; Plotly knowledge is a bonus.
• You have experience working with Python and Pandas. PySpark or Spark-SQL is a nice to have, but not necessary.
• You thrive in a fast-paced, collaborative environment and demonstrate strong communication skills.
  

For You:

• You’ll work with a New York-based team
• 30 days PTO for any reason, including sick days (no specified limits)
• Flexible work schedule
• Personal laptop
• Health and wellness package
• Remote work

Candidates must have primary residency (and be physically located) in the country of hire (AKA Colombia) in order to be considered for the position. If hired, the worker must maintain primary residency in the country of hire in order to be eligible for employment.

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.