Senior Data Operations Analyst (Python & SQL)

Posted Yesterday
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Chennai, Tamil Nadu, IND
Hybrid
Senior level
Big Data • Information Technology
The world's leading consumer intelligence company.​
The Role
Act as the bridge between Supplier Engagement and Ops to validate, classify and improve retailer/vendor data. Perform ETL, data cleaning, KPI reporting, RCA, query resolution, productivity initiatives, and onboarding support while maintaining SAP, FTP/MFT, and transactional data integrations for large, multi-format and TLog datasets.
Summary Generated by Built In
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.

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

Experience with Python, and Cloud Platforms.

Min 3 years of experience in SQL and Python preferred
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.
Strong analytical and problem-solving skills.
Proficient in complex business process modeling and data modeling concepts.
Strong knowledge of Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint).
Extensive knowledge in Retail, specifically in POS and supply chain.
Understanding of factory processes.
Extensive knowledge in Retail, specifically in POS and supply chain.
Proficiency in developing Unix/Python queries.

Additional Information

Must have work experience in SQL and Python 

Willing to work in Flexible shifts

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

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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

Skills Required

  • Work experience with Python
  • Work experience with SQL
  • Experience with Cloud Platforms
  • Minimum 3 years of experience in SQL and Python
  • 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 analytical and problem-solving skills
  • Strong knowledge of Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint)
  • Extensive knowledge in Retail, specifically POS and supply chain
  • Understanding of factory processes
  • Proficiency in developing Unix/Python queries
  • Willingness to work flexible shifts

NielsenIQ Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NielsenIQ and has not been reviewed or approved by NielsenIQ.

  • Parental & Family Support Public materials highlight paid parental leave in the U.S., with additional paid disability time for birth parents. Parental leave is positioned as a standout element of the package.
  • Leave & Time Off Breadth Unlimited or flexible PTO is referenced alongside paid holidays and sick leave, providing broad time-off options in many roles. Actual use can vary by team norms, but the formal breadth is notable.
  • Flexible Benefits Work-from-home and hybrid arrangements are supported in many roles, with remote-friendly practices described across business lines. Flexibility is frequently positioned as a meaningful advantage.

NielsenIQ Insights

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The Company
Chicago, IL
40,000 Employees
Year Founded: 1923

What We Do

NielsenIQ is the industry leader in global measurement and data analytics, and the most trusted source for retail and consumer intelligence. We deliver the complete truth to retailers, manufacturers, and our partners through our comprehensive data sets and powerful insights. We enable businesses to make critical decisions confidently, accelerating growth and optimizing performance.

Why Work With Us

We empower companies around the world to make bold decisions and transform their business with trusted data, solutions, and insights. Joining NielsenIQ means experiencing countless learning opportunities and gaining numerous pathways for growth.

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