Data Analytics Engineer

About the Company

• 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 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, 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. We cultivate a strong people-centric culture focused on mastery, ownership, and transparency.

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.

About this role

We currently have 90+ Data team members 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 opportunities to grow compensation and achieve promotions.

Candidates must have primary residency (and be physically located) in the country of hire (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.

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. If you join one of our Central Data teams, you’ll also learn how our data drives decision-making at some of the largest companies 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.

In this role, you will:

• Be the primary owner of high impact work such as running or building new data products end-to-end or running centralized data ingestion pipelines that the broader Data team relies on
• 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 custom analysis, dashboards, or data reports that are consumed by the top investors in the world
• Improve our products or data pipelines,by developing entirely new methodologies and features for our products or exploring and scaling use across the data team of new third-party datasets. We value self-improvement and experimentation and expect you to enhance the products of pipelines that you own
• Learn or sharpen existing SQL and Python skills starting with our 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 in writing
• 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

For You:

• 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 mean it. We offer flexible work hours, a remote-first work environment, flexible vacation, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you make, 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.

• You will have the opportunity to acquire new skills through an internal training program
• Flexible work schedule
• Personal laptop
• Health and wellness package
• Remote work