Senior Data Operations Analyst

About the job

Job Description 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, 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). 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. Qualifications 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 market time zones. Strong technical knowledge and business interpretation of data. Strong analytical and problem-solving skills. Fluent in English. Extensive knowledge in Retail, specifically in POS and supply chain. General systems understanding from an ETL point of view. Experience with Python, FoxPro, and Cloud Platforms. Large data handling skills with exposure to multiple formats and TLog data. Understanding of SAP and 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. Proficient in complex business process modeling and data modeling concepts. Strong knowledge of Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint). Understanding of factory processes. Extensive knowledge in Retail, specifically in POS and supply chain. Proficiency in developing Unix/Python queries.

Requirements

• Data Analysis
• Data Cleaning
• Data Handling
• Retail Knowledge
• SAP
• Python

Qualifications

• Master’s Degree
• Technical Institute Degree/Certificate

Preferred Technologies

• Data Analysis
• Data Cleaning
• Data Handling
• Retail Knowledge
• SAP
• Python

Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About the company

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. Building the bigger picture means making sure we connect every single dot. Our Operations teams make sure we’re at the forefront of every innovation that makes that possible. Clients around the world rely on NielsenIQ’s data and insights to innovate and grow. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach.