Hiring: Data Product Analyst, Corporate Company: YipitData Location: United States Job Posted Time: 2026-09-03 10:43:13 Employment Type: Remote Target Skills & Keywords : Data Pipeline, Databricks, GitHub, PySpark, Python, SQL About the job Experience: •4-6 years of experience in data analytics, data operations, or consulting •6 years of experience in data analytics, data operations, or consulting •4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets; Familiarity with Github and Databricks Required Skills: •And to use that understanding to make higher-confidence decisions in an increasingly competitive landscape. •As part of our continued growth, we are expanding the Data team within our Corporate practice and are excited to welcome a Data Analyst to help deliver high-impact, data-driven products to our Retail clients. •This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth, enjoys helping clients get the most value from our data, able to communicate complex problems in simple terms to internal and external stakeholders. •Ramp up quickly to become the primary owner of high-impact data deliverables, driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency •Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products & client deliverables •Serve as a trusted resource for our clients and internal stakeholders by understanding client needs and aligning them with our data methodologies, limitations, and coverage •Independently investigate and resolve complex data quality issues •Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value, and develop technical solutions that streamline workflows, optimize data processes, and expand automation 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!