Hiring: Senior Data Analyst, Data Feeds Company: YipitData Location: United States Job Posted Time: 2026-09-10 10:43:13 Employment Type: Remote Target Skills & Keywords : AWS, Azure, GCP, Oracle Cloud, PySpark, Python, SQL About the job Experience: •4+ years of experience in data analytics, with a background in financial services, consulting, data science, product analytics, or another environment where complex data informs high-stakes decisions. Required Skills: •The Data Feeds team creates products that fit seamlessly into client investment workflows—whether that's through granular datasets, aggregated metrics, forecasting methodologies, APIs, or entirely new AI-powered product experiences. •As an analyst on the team, you'll sit at the intersection of analytics, product, and commercialization. You'll partner closely with Product Managers, Central Data, Data Science, Engineering, Quant Research, and Client Strategy to continuously improve how clients consume and derive value from our data. •Kepler — consumer transaction datasets powering institutional investment workflows through granular transaction data, aggregated metrics, and forecasting products. •Summit — B2B spend datasets built from purchase and invoice data, helping investors understand enterprise software, industrials, healthcare, and other sectors. •Edison – email receipt datasets built from one of the industry's largest anonymized inbox panels, helping investors track consumer purchases, subscriptions, travel, and digital commerce across thousands of merchants. •SpendHound – Proprietary B2B software spend datasets built from ERP, expense, and invoice data, helping investors understand software adoption, customer retention, competitive dynamics, and enterprise technology spending. •Cloud – Enterprise cloud infrastructure data covering AWS, Azure, Google Cloud, and Oracle Cloud, combining proprietary spend panels with pricing and capacity data to help investors understand cloud growth, AI infrastructure demand, and competitive dynamics. •This role is different from a traditional Data Analyst position. Success isn't measured by how many analyses you complete. It's measured by the quality of the products you build, the customer problems you solve, and the leverage you create for clients and the business. Compensation: •$140,000 - $190,000 / year •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!