Senior Data Operations Analyst (SQL, Python and Databricks) at NielsenIQ

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

28 May, 26

Salary

0.0

Posted On

27 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Databricks, Data Analysis, Query Resolution, KPI Reporting, Data Management, Data Quality Checks, Retailer Onboarding, Data Extraction, Data Transformation, Data Cleaning, Data Aggregation, ETL, Unix, Client Interaction

Industry

Software Development

Description

Company Description 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 order to continue to scale & support this new platform, it is critical that we have the best talent on our team. 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. Familiarity with managing, querying, and aggregating large data sets 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 Note: Must have hands-on work experience in SQL, Python, and Databricks, along with client interaction experience. Willingness to work in the 2:00 PM to 11:00 PM IST shift is required. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ 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://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ 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. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At 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. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion Career Site Team: Operations

Responsibilities

This role focuses on post-input data activities, acting as a bridge between the Supplier Engagement team and other Operations pillars, handling system changes, BAU query resolution, and KPI reporting. Key accountabilities include managing BAU data activities such as data receipt, handling quality checks, and driving specific quality improvement goals with retailers.