NielsenIQ
Technology
DataOperationsAnalyst
Neural analysis suggests this role is
optimal for mid candidates.
“Data Operations Analyst at NielsenIQ. Skills: Data analysis, SQL, Data visualization. Develop and maintain data pipelines. Perform data quality checks”
What You'll Achieve.
Improve data accuracy; Enhance reporting efficiency; Support business objectives
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
SQL proficiency, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field, 1+ years of experience in data analysis or operations
Nice to Have
Experience with data visualization tools, Familiarity with cloud platforms (AWS, Azure, GCP), Experience with scripting languages (Python, R), Master's degree preferred
What You'll Do.
Develop and maintain data pipelines
Perform data quality checks
Create and manage reports and dashboards
Support data-driven decision-making
Troubleshoot data issues
Collaborate with stakeholders to understand data needs
Automate repetitive tasks
Document data processes and procedures
How You'll Work.
Team & Collaboration
Cross-functional teams; Data engineering teams; Business stakeholders
Communication Scope
Stakeholder communication; Report presentation
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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