NielsenIQ
Consumer Intelligence
PrincipalDataOperationsAnalyst
Neural analysis suggests this role is
optimal for mid candidates.
“Principal Data Operations Analyst at NielsenIQ. Skills: Data Operations, Data Analysis, Retail Data. Securing BAU. Data Analysis and Testing”
What You'll Achieve.
Number and speed of resolving MSD tickets; AU inqueries and closed / answered; Operational Stability; Timely escalations; Risk flagging and Mitigation (Implementation Delays)
Industry & Context.
analytical and problem-solving skills
Flexibility to work according to local time zones and follow country holidays for supported countries
What They're Looking For.
Must Have
Master's Degree or technical institute degree/certificate in statistics or data analytics, or equivalent work experience, 3+ years of relevant professional work experience, Understanding of various data and file formats, Ability to interpret different data structures and mapping, Flexibility to work according to local time zones and follow country holidays for supported countries, technical knowledge and business interpretation of data, General systems understanding from an ETL point of view, Fluent in local market language skills (if required by markets), Experience with Python, Experience with FoxPro, Experience with Cloud Platforms, Large data handling skills, Exposure to multiple formats, Exposure to TLog data, Understanding of SAP, Transactional data handling, FTP setup and maintenance, MFT setup and maintenance, Ability to extract, transform, load, and clean large data sets from multiple sources, Familiarity with managing, querying, and aggregating large data sets, analytical and problem-solving skills, Proficient in complex business process modeling, Proficient in data modeling concepts, knowledge of Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint), Extensive knowledge in Retail, specifically in POS and supply chain, Understanding of factory processes, Proficiency in developing Unix/Python queries
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Data Analysis and Testing
Bridge Ops and Suppliers
classify and management of the data
Handle large data sets
Plan and follow up on operational activities
Address data corrections
Track and resolve MSD tickets
Provide updates on KPIs
Manage data receipt from retailers
Communicate with internal and external stakeholders
Provide timely updates and visibility
Contact data providers
Communicate with data providers on discrepancies
Handle new store information
Address new stores and closed store queries
Coordinate with Input Ops and Output
Send relevant IO communications
Conduct quality checks
Address data queries arising from quality checks
Identify new operational effecient opportunities
How You'll Work.
Team & Collaboration
Collaborate with the Supplier Engagement Lead; working closely with retailers; working closely with NielsenIQ teams; regular reviews with internal stakeholders and retailers; Collaborate with INS team; Act as the internal SPOC for Ops and regional leadership teams; Communicate with internal and external stakeholders; Coordinate with Input Ops and Output; Ops teams (NOC); DA Analysts; consulting closely with the commercial or RV team
Communication Scope
Communication skills
Process & Methodology
System change surveys, MSD tickets tracking and closure, productivity initiatives, RCAs
Full Job Description
Position Title: eData Governance Reports to: Regional EDD --->. Regional Input Ops Business Unit: Data Operations Location: Gurgaon Vision of the Role: Backend, Ops Bridge, Technical. High Level Tasks: * Securing BAU * Data Analysis and Testing * MSDs * Data Assessments * DQI Execution * Bridge Ops and Suppliers Job Purpose: This 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. Apart from this, the team is also responsible to analyze, classify and management of the data. This 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). Scope of work: Retailer Onboarding and Engagement: * Collaborate with the Supplier Engagement Lead on retailer onboarding. * Ensure compliance for received data by working closely with retailers and NielsenIQ teams. * Track retailer or vendor data quality and conduct regular reviews with internal stakeholders and retailers. * Drive specific quality improvement goals for retailers, including change management related to data receipt. * Handle large data sets with exposure to multiple formats and TLog data. * Understanding of SAP, transactional data handling, FTP, and MFT setup and maintenance. * Ability to extract, transform, load, and clean large data sets from multiple sources. * Familiarity with managing, querying, and aggregating large data sets. System Change and Data Corrections : * Plan and follow up on operational activities. * Address data corrections due to MSD or other data errors through retailer discussions and planning with Ops. * Track and resolve MSD tickets. * Collaborate with INS team on results of e
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