Qualifications
Responsibilities:Data ExtractionDevelop data extractors to parse e-receipts utilizing NielsenIQ’s proprietary markup language and RegEx. Debug and refine templates to ensure accuracy, validating your work with SQL and BI tools. Maintain clear documentation and facilitate effective communication with technical and client-facing teams. Adjust extraction logic as data formats and business requirements evolve. Stay informed on internal processes and tools. Data Quality & AnalysisPerform thorough checks to guarantee data completeness, accuracy, consistency, and proper parsing, leveraging BI tools and SQL. Investigate anomalies and irregularities related to transactional data. Write and enhance SQL queries, and create dashboards to facilitate large-scale analysis. Prepare concise, actionable reports for client-facing teams. Process ImprovementIdentify opportunities for automation and assist in enhancing our processes and tools. Support strategic projects aimed at optimizing operational workflows. Collaborate closely with developers, analysts, and client-facing teams to devise solutions collaboratively. Keep operational and project documentation current. Qualifications:Initial experience (internship, projects) in data operations, analytics, or technology-related roles. Basic SQL proficiency: Capable of writing simple queries to retrieve and inspect data; can read and comprehend more complex queries written by others; understands table structures, relationships, and data organization within databases. A logical, analytical mindset for tackling complex tasks and recognizing patterns in data. Excellent communication abilities and meticulous attention to detail (essential when dealing with critical data).
About the job
Join our innovative team at NielsenIQ, where we provide high-quality e-commerce data across more than 40 countries. We are seeking a meticulous and analytically inclined Data Operations Analyst to become part of our vibrant, multicultural team. In this role, you will be integral to the complete data operations lifecycle—from validating, extracting, and processing digital transaction data to troubleshooting data quality issues and collaborating with cross-functional teams.
This is an exciting opportunity for early-career professionals who are enthusiastic about establishing a robust foundation in data analysis within a client-centric environment. You will have the opportunity to spearhead new initiatives and foster continuous improvements. If you thrive on solving complex problems, your logical thinking and analytical mindset will be invaluable in navigating intricate challenges, identifying patterns, and uncovering insightful data. A commitment to continuous learning and a sense of ownership will be key to your success in this role.