NielsenIQ
Technology
DataOperationsAnalyst
Neural analysis suggests this role is
optimal for mid candidates.
“Data Operations Analyst at NielsenIQ. Skills: Data Operations, SQL, ETL. Manage and maintain data pipelines. Develop and optimize ETL processes”
What You'll Achieve.
Improve data accuracy; Enhance data system performance; Ensure timely data delivery
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
5+ years of experience in data operations, Bachelor's degree in a relevant field, Proficiency in SQL, Experience with data warehousing concepts
Nice to Have
Master's degree preferred, Experience with cloud data platforms, Familiarity with data governance principles
What You'll Do.
Manage and maintain data pipelines
Develop and optimize ETL processes
Ensure data quality and integrity
Monitor data systems for performance
Troubleshoot data-related issues
Collaborate with data engineers and analysts
Support BI reporting needs
Document data processes and systems
How You'll Work.
Team & Collaboration
Data engineers; Data analysts; Business stakeholders
Communication Scope
Technical documentation; Stakeholder communication
Full Job Description
You’ll be joining a team that delivers high‑quality e‑commerce data across more than 40 countries. We’re looking for a detail‑oriented, analytically minded Data Operations Analyst to be part of our dynamic, multicultural team. In this role, you’ll contribute to the entire data operations lifecycle—from validating, extracting, and processing digital transaction data to troubleshooting data quality issues and partnering with cross‑functional teams. This is a great opportunity for early‑career professionals eager to build a solid foundation in data analysis within a client‑focused environment. You’ll also have the chance to drive new initiatives and continuous improvements. If you enjoy solving puzzles, you’ll feel right at home: your logical thinking and analytical mindset will help you navigate complex challenges, identify patterns, and uncover insights. With constant learning at the core of this role, curiosity and ownership will be essential to your success. Responsibilities: 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 * Conduct comprehensive checks to ensure data is complete, accurate, consistent, and correctly parsed, leveraging BI tools and SQL. * Investigate anomalies and irregularities specific to transactional data. * Write and optimize SQL queries, and build dashboards to support large‑scale analysis. * Prepare clear, actionable reports for client‑facing teams. Process Improvement * Spot opportunities for automation and help improve our processes and tools. * Support strategic projects aimed at improving operational workflows. * Work clos
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