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NielsenIQ

Global provider of consumer purchasing data

Senior Data Operations Analyst

Data ManagementConfirmed live in the last 24 hours
Full-timeVadodara, Gujarat, IndiaNo salary listedIn-person

About the Job

Requirements

  • A minimum of 18 months of experience in data-related work is required.
  • Fluent spoken and written English is required.
  • Problem-solving ability and the ability to understand and analyze data are required.
  • The ability to train others and explain technical elements to different stakeholders is required.
  • The ability to monitor activities and a good understanding of key performance indicators are required.
  • A process-driven approach and the ability to define and refine processes to improve quality and on-time delivery are required.
  • Organizational skills are required.
  • Presentation skills are required.
  • Knowledge of process improvement methodologies is required.
  • Project management skills, including accurately scoping project requirements and managing stakeholder expectations, are required.
  • A bachelor's degree in any field is required; preference is given to Mathematics, Statistics, Economics, Commerce, or Business Administration.
  • A master's degree in Commerce, Statistics, Mathematics, or a related field is listed as a qualification.
  • Exposure to R, Python, machine learning, or artificial intelligence is required.

Responsibilities

  • Deliver production cycles on time and to defined quality standards.
  • Engage with the team to resolve technical challenges and ensure the team understands new tool enhancements.
  • When errors occur, engage stakeholders and communicate appropriately.
  • Own the root cause analysis process and work with the team to analyze issues under discussion.
  • Communicate clearly with onshore teams and other stakeholders, provide precise project updates, and manage client queries efficiently.
  • Define and monitor process execution, document processes, and implement mechanisms to keep documentation current while tracking exceptions.
  • Understand regular execution processes, identify opportunities for automation and improvement, and maintain attention to detail.
  • Automate processes using tools such as SQL, R, Python, and Excel macros, and explore the implementation of machine learning and artificial intelligence techniques.
  • Ensure the quality of setups used in markets reported by Nielsen and analyze potential concerns in client data; collaborate across departments as needed.
  • Execute Input Operations processes and related project work, including understanding the universe, sample design, data queries, and related production activities across potentially different countries.
  • Execute production tasks to ensure data accuracy and trendability by scheduled deadlines; investigate data inquiries and challenges with local, regional, and offshore operations teams.
  • Participate in development and drive standardization and process efficiency for method-related processes and applications.
  • Coordinate with Input Validation, Output, and Reference Data teams to collect information, improve data quality, and drive continuous process improvement.
  • Provide technical and process expertise for deployment of the Consumer Information Platform and assist remotely located resources with effective project implementation.
  • Prepare accurate tracking key performance indicators to monitor and improve on-time delivery and data accuracy, and maintain project work discipline.
  • Deliver client instructions and deliverables accurately and on time, focusing on a specific industry, category, or set of categories.
  • Identify, investigate, and coordinate resolution of data-, process-, or product-related queries, and serve as a point of contact for commercial queries, resolving them efficiently and with a client focus.

About the Company

NielsenIQ

Global provider of consumer purchasing data

NielsenIQ collects and analyzes consumer purchasing data to help retailers and brands understand market behavior. It tracks what people buy, when, and where, using this data to measure market share and purchasing trends across categories. The product works by aggregating point-of-sale and other consumer data, then turning it into actionable insights and benchmarks that clients can use to optimize pricing, assortment, promotions, and marketing. NielsenIQ differentiates itself through its long history (dating back to 1923) and a broad global footprint (operating in over 100 countries), plus its expanded capabilities after merging with GfK in 2023 to strengthen data on technology and durable goods. Its goal is to provide objective, data-driven guidance that helps retailers and brands make informed decisions and improve performance.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1923

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