Data Operations Analyst

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 closely with developers, analysts and client-facing teams to design solutions together.
• Keep operational and project documentation up to date.

Qualifications 

• First experience (internship, projects) in data operations, analytics or tech related roles.
• Basic SQL skills: Ability to write simple queries to retrieve and inspect data; Can read and understand more complex queries written by others; Understands table structures, relationships, and how data is organized within a database.