Data Product Associate/Data Analyst

TurnKey Tech Staffing; Brasil; On-site; BRL 80,000 - 110,000; Full time

Benefits offered by this job

Flexible PTO

Personal laptop

Health and wellness package

Job summary

YipitData is seeking a Data Associate to join its rapidly growing team in Brazil. This role involves owning data products, using advanced analytical methods, and harnessing AI tools to drive efficiency. Candidates should have 4–5+ years of data experience and strong proficiency in SQL, Python, and PySpark. The company offers flexible PTO and a supportive work environment focused on ownership and impact.

Qualifications

• 4–5+ years of experience in data, business, or predictive analytics.
• Proficient in SQL, Python, and PySpark.
• Strong ownership mentality and ability to manage multiple projects.

Responsibilities

• Own high-impact data products end-to-end.
• Work with massive amounts of data to answer key questions.
• Use AI and tooling to drive meaningful leverage.

Skills

SQL

Python

PySpark

Predictive analytics

Data analysis

AI tools usage

Communication

Job description

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.

About the Role

We currently have 60+ Data team members in our Investor business who build, 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 who are passionate about data and excited to scale quickly to deliver top‑tier products to our clients are encouraged to apply.

At YipitData, we value ownership and impact. Your growth 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. Our career ladder also rewards strong performance with regular opportunities for compensation increases and promotions.

As a Data Associate, you will:

• Own high‑impact data products end‑to‑end — driving product success by delivering best‑in‑class outputs with a focus on accuracy, client value, and efficiency. You’ll ramp quickly into full ownership of your products and workflows, operating with minimal oversight.
• Work with massive amounts of data to answer our clients’ key questions about the companies and datasets we analyze. You’ll develop deep expertise in our proprietary methods and techniques, building strong mental models that allow you to ensure data accuracy, identify methodology gaps, and derive key insights.
• Tackle complex data problems independently, using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require innovative thinking — even when information is incomplete or ambiguous.
• Use AI and tooling to drive meaningful leverage — significantly increasing speed, reducing manual work, and beginning to automate portions of workflows. You’ll standardize best practices and build repeatable processes, always maintaining a high bar for correctness and quality while validating AI‑generated outputs.
• Collaborate cross‑functionally with Research, Engineering, and other teams — coordinating across functions to unblock work, align on best practices, and develop technical solutions that streamline workflows, optimize data processes, and push the boundaries of automation.
• Identify and drive improvements to products and data pipelines, contributing ideas for new products, enhancements, and features. This could include developing new methodologies, exploring and scaling the use of new third‑party datasets, or improving product profitability — all with a clear understanding of what drives value for clients.

You Are Likely To Succeed If:

• You have 4–5+ years of experience in data, business, or predictive analytics and are proficient in SQL, Python, and PySpark
• You have a proven track record of quickly learning new concepts, particularly complex data methodologies, and building strong mental models of how and why data works
• You actively use AI tools (e.g., ChatGPT, Copilot, or similar) to accelerate your work and are excited about using AI to drive leverage — not just productivity, but fundamentally better and faster ways of working
• You can clearly communicate complex concepts — including methodology, risks, and tradeoffs — both orally and in writing
• You have a strong ownership mentality and are enthusiastic about making a big impact at a rapidly growing company
• You can manage multiple projects simultaneously, independently prioritize tasks, and make sound decisions with incomplete information
• You have experience using sample or panel data to make precise estimates that guide decision‑making
• You have a background in financial markets or are interested in learning more about data‑driven investing
• You have an Advanced English proficiency (B2–C1 or higher)

For You

• Flexible PTO for any reason, including sick days (no specified limits)
• Personal laptop
• Health and wellness package

Equal Employment Opportunity

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.

Application

Kindly submit your application and CV in English.