Hiring: Data Product Analyst, Private Investor Company: YipitData Location: United States Job Posted Time: 2026-09-15 10:43:13 Employment Type: Remote Target Skills & Keywords : Databricks, GitHub, PySpark, Python, SQL About the job Experience: •6 years of experience who is eager to deepen their data analysis skill set, get direct exposure to private investor clients, and thrive in a fast-moving, high-accountability environment. •6 years of experience in data analytics, data operations, consulting, or a related field •4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets, and you’re familiar with GitHub and Databricks Required Skills: •Become a core owner of Signals data products – you will help prioritize and vet new data sources and design their incorporation into our pipelines and platform •Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems •Design, maintain, and run QA processes to validate data across hundreds of thousands of vendors, proactively catching issues before they reach clients •Investigate and resolve complex data quality issues independently. On a small team, there's no one to hand things off to; you own the problem through to resolution •Serve as a trusted resource for internal and external stakeholders by deeply understanding client use cases and aligning them with our data methodologies, coverage, and limitations •Conduct and deliver detailed analytical write-ups on specific vendors, sectors, or trends that showcase the power of Signals data and drive client engagement •Collaborate cross-functionally with Engineering, Product, and Go-to-Market to ship improvements fast—whether that's adding new data to the platform, improving accuracy, or reducing data lag times •Help shape the product roadmap by translating customer feedback and data quality insights into actionable improvements Compensation: •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!