DataOperationsAnalyst

You’ll be joining a team that delivers high-quality U.S. e-commerce data. With over 16 years of experience, we know our craft, and we’re always evolving. In this role, you’ll use your analytical skills to make sure our clients get accurate, reliable data. You’ll also get hands-on experience with our proprietary technology (and have a mentor to guide you). Plus, you’ll have the chance to help us push forward with new initiatives and improvements. If you enjoy solving puzzles, you’ll fit right in - logical and analytical thinking will help you tackle complex tasks, spot patterns and uncover insights. You’ll be learning constantly, so curiosity and a sense of ownership will be key to your success. What You’ll Be Doing: Data Extraction * Build data extractors to parse e-receipts using NielsenIQ’s proprietary markup language and RegEx. * Debug and fine-tune templates to make sure they’re accurate, then validate your work with SQL and BI tools. * Keep documentation clear and communicate effectively with tech teams and client-facing teams. * Adapt extraction logic as data formats and business needs change. * Stay up to date with our internal processes and tools. Data Quality & Analysis * Run thorough checks to ensure data is complete, consistent and is parsed correctly. * Investigate any anomalies specific to U.S. retail data. * Write and optimize SQL queries and Databricks notebooks for large-scale analysis. * Create reports for client-facing teams. Process Improvement * Spot opportunities for automation and help improve our processes and tools. * Lead or support strategic projects, like UATs, new processes onboarding, etc. * Work closely with developers, analysts and client-facing teams to design solutions together. * Keep operational and project documentation up to date. Qualifications * 1–2 years of experience in data operations, analytics or tech-related roles. * Solid SQL skills - you should be comfortable with joins, subqueries and CTEs. * Hands-on experience with B