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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…
Early-career Data Analyst (internal title: Data Specialist) at YipitData's Singapore office, turning large complex datasets into insights for investment-fund and Fortune 500 clients. Day to day: running recurring analyses and quality checks with SQL and Python, investigating data discrepancies, and building AI-assisted automation workflows.
Build AI-powered products for institutional investors that turn complex data into faster, higher-conviction decisions using LLMs, agents, and proprietary datasets.
A Product Security Engineer embeds security into YipitData’s data-driven products by conducting threat modeling, security reviews, and vulnerability assessments. They collaborate with engineering and product teams to design secure architectures, improve security tooling, and mitigate risks before they reach production, focusing on APIs, cloud services, and AI-enabled systems.
Data QA Specialist cleans and labels e-commerce expense data to ensure accuracy, using tools like Excel, SQL, or Python while collaborating with global teams.
Clean and validate e-commerce expense data from receipts and emails to ensure accuracy for financial insights, using tools like Excel, SQL, or Python while collaborating with global teams.
Data QA Associate cleans and validates e-commerce expense data from receipts using tools like Excel, SQL, and Python to ensure accuracy for financial insights.
Analyzes consumer purchase and engagement data to deliver insights for retail clients, using SQL, Python, and PySpark to ensure data accuracy and reliability.
Designs and deploys statistical models and optimization frameworks to transform raw consumer data into enterprise-grade insights for investment and corporate clients, using Python/R, SQL, and Databricks.
Senior software engineer building and maintaining scalable backend systems and data pipelines for a market research firm analyzing billions of alternative data points, primarily using Go or Python.
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