{"id":4004754,"url":"https://alion.io/job/nielseniq-principal-data-operations-analyst-4","title":"Principal Data Operations Analyst","company":{"id":9378,"name":"NielsenIQ","domain":"nielseniq.com","url":"https://alion.io/company/nielseniq","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":21,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Outlook","optional":false},{"name":"Python","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-11-10T05:00:02Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T07:31:33Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Title: eData Governance\nReports to: Regional EDD ---> Regional Input Ops\nBusiness Unit: Data Operations\nLocation: In Country/Region - Initial | Hybrid - Future\nVision of the Role\nBackend, Ops Bridge, Technical\nHigh Level Tasks\nSecuring BAU\nData Analysis and Testing\nMSDs\nData Assessments\nDQI Execution\nBridge Ops and Suppliers\nJob Purpose\nThis role covers the activities post inputs are received from the source - retailers/vendors. Primary focus is to be the bridge between the Supplier Engagement team and other Ops pillars. System change surveys, BAU query resolution, MSD tickets tracking and closure, KPIs reporting, productivity initiatives, RCAs are the key areas of work for this team.\nApart from this, the team is also responsible to analyze, classify and management of the data.\nThis role is accountable for BAU activities related to data, including data reminders, data receipt from retailers, and handling data queries arising from quality checks (RAP & DQI scoring).\nScope of Work\nRetailer Onboarding and Engagement:\nCollaborate with the Supplier Engagement Lead on retailer onboarding.\nEnsure compliance for received data by working closely with retailers and NielsenIQ teams.\nTrack retailer or vendor data quality and conduct regular reviews with internal stakeholders and retailers.\nDrive specific quality improvement goals for retailers, including change management related to data receipt.\nHandle large data sets with exposure to multiple formats and TLog data.\nUnderstanding of SAP, transactional data handling, FTP, and MFT setup and maintenance.\nAbility to extract, transform, load, and clean large data sets from multiple sources.\nFamiliarity with managing, querying, and aggregating large data sets.\nSystem Change and Data Corrections:\nPlan and follow up on operational activities.\nAddress data corrections due to MSD or other data errors through retailer discussions and planning with Ops.\nTrack and resolve MSD tickets.\nCollaborate with INS team on results of eDive for System change.\nStakeholder Management & BAU Collaboration and Communication:\nAct as the internal SPOC for Ops and regional leadership teams.\nProvide updates on KPIs, market progress on retailer onboarding, BAU KPIs, and productivity initiatives (internal SPOC for Ops).\nSend data reminders and manage data receipt from retailers.\nCommunicate with internal and external stakeholders to resolve data issues.\nProvide timely updates and visibility to stakeholders.\nContact data providers via email if data has not been received as per SLAs.\nCommunicate with data providers on any discrepancies found in initial data checks, FoVa reports, shop usability, or other factory processes.\nHandle new store information and confirmation on store closures.\nAddress new stores and closed store queries.\nCoordinate with Input Ops and Output for processing reissued data.\nSend relevant IO communications (internal) regarding new/closed stores, missing retailer data, estimation of retailer data, reissue of retailer data, store name changes, store mapping corrections, retailer expansion, and retailer data changes during BAU.\nQuality Assurance:\nConduct quality checks, including eDive primary testing of data, RAP scoring, and eDive.\nAddress data queries arising from quality checks.\nOpportunity Identification:\nIdentify new operational efficient opportunities within existing retailers.\nWork with Ops teams (NOC) and DA Analysts to realize these opportunities, consulting closely with the commercial or RV team as applicable.\nQualifications - Technical\nExperience with Python, FoxPro, and Cloud Platforms.\nLarge data handling skills with exposure to multiple formats and TLog data.\nUnderstanding of SAP and transactional data handling.\nFTP and MFT setup and maintenance.\nAbility to extract, transform, load, and clean large data sets from multiple sources.\nFamiliarity with managing, querying, and aggregating large data sets.\nStrong analytical and problem-solving skills.\nProficient in complex business process modeling and data modeling concepts.\nStrong knowledge of Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint).\nExtensive knowledge in Retail, specifically in POS and supply chain.\nUnderstanding of factory processes.\nExtensive knowledge in Retail, specifically in POS and supply chain.\nProficiency in developing Unix/Python queries.\nQualifications - Skills\nMaster's Degree or technical institute degree/certificate in statistics or data analytics, or equivalent work experience.\n3+ years of relevant professional work experience.\nUnderstanding of various data and file formats.\nAbility to interpret different data structures and mapping.\nFlexibility to work according to local time zones and follow country holidays for supported countries.\nStrong technical knowledge and business interpretation of data.\nGeneral systems understanding from an ETL point of view.\nFluent in English; local market language skills (if required by markets).\nSkillset Required\nMaster's Degree or technical institute degree/certificate in statistics or data analytics, or equivalent work experience.\n3+ years of relevant professional work experience.\nUnderstanding of various data and file formats.\nAbility to interpret different data structures and mapping.\nFlexibility to work according to local time zones and follow country holidays for supported countries.\nStrong technical knowledge and business interpretation of data.\nStrong analytical and problem-solving skills.\nFluent in English; local market language skills (if required by markets).\nExtensive knowledge in Retail, specifically in POS and supply chain.\nGeneral systems understanding from an ETL point of view.\nExperience with Python, FoxPro, and Cloud Platforms.\nLarge data handling skills with exposure to multiple formats and TLog data.\nUnderstanding of SAP and transactional data handling.\nFTP and MFT setup and maintenance.\nAbility to extract, transform, load, and clean large data sets from multiple sources.\nFamiliarity with managing, querying, and aggregating large data sets.\nProficient in complex business process modeling and data modeling concepts.\nStrong knowledge of Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint).\nUnderstanding of factory processes.\nExtensive knowledge in Retail, specifically in POS and supply chain.\nProficiency in developing Unix/Python queries.\nSuccess Measures\nNumber and speed of resolving MSD tickets/BAU inquiries and closed/answered.\nOperational Stability - Timely escalations, Risk flagging and Mitigation (Implementation Delays).\nOur Benefits\nFlexible working environment\nVolunteer time off\nLinkedIn Learning\nEmployee-Assistance-Program (EAP)\nNIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/\nAbout NIQ\nNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.\nFor more information, visit NIQ.com\nWant to keep up with our latest updates?\nFollow us on: LinkedIn | Instagram | Twitter | Facebook\nOur commitment to Diversity, Equity, and Inclusion\nAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. 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