Product Analyst

NIQ for Digital Commerce; Vadodara; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NIQ is seeking a meticulous Product Analyst to join our Product Operations team in Vadodara, focusing on providing robust analysis of data source quality, defining metrics and reporting to generate actionable insights that drive decision making and trust in the data that powers our products and services.

As we expand our data sources, the role will work cross-functionally across product teams and with key internal stakeholders, providing regular updates and targeted support to improve data

Qualifications

• Experience in data analysis and data quality is essential.
• Experience with AI/ML-generated data is beneficial.
• Strong SQL and data visualization skills (Power BI, Tableau).
• Experience with anomaly detection techniques and tools is highly desirable.
• Understanding of AI/ML data workflows and how data flows through models.
• Excellent attention to detail, analytical thinking and communication skills.

Responsibilities

• Evaluate the relative and overall quality of data sources including data produced by AI models, web scraping, manual coding and other coded sources.
• Define and implement metrics that provide actionable insights to improve data reliability and support prioritisation and harmonisation of data sources.
• Provide consistent reporting on data source quality using dashboards and reports to communicate trends and proposed actions.
• Identify anomalies, patterns and potential risks in data sources with a focus on ensuring confidence of AI-generated data.
• Design and implement methods to detect outliers, inconsistencies and unexpected trends in data sources.
• Investigate root causes of anomalies and collaborate with technical teams and stakeholders to address issues.
• Support the application of validation rules, checks and metrics to monitor data quality over time.
• Collaborate with data scientists and engineers to refine AI outputs based on quality findings.
• Assist with taxonomy recognition tasks to ensure attributes achieve required quality thresholds.

Skills

Data analysis

Data quality

SQL

Power BI

Tableau

AI/ML concepts

Anomaly detection

Tools

SQL

Power BI

Tableau

Job description

Job Description:

Job Description

We are looking for a meticulous and curious Product Analyst to join our Product Operations team, with a focus on providing robust analysis of our data source quality, defining metrics and reporting to generate actionable insights that drive decision making and trust in the data that powers our products and services.

As we expand our data sources, we need to understand their relative quality and depth to help us prioritise and harmonise product data in a way that provides the most insightful benefit for our clients. This role will work cross-functionally across our product teams and with key internal stakeholders, providing regular updates as well as targeted support and insight as required.

The role will work closely with the Label Insight Data Governance Team, situated in our Product Team. The team is dedicated to ensuring the quality, integrity and usability of data across the organization. Comprising three specialized teams, Attribute Health, Source Quality, and Data Support, it works collaboratively to uphold robust data standards validate AI-generated outputs and provide responsive client-focused support. Together the team enables scalable trustworthy and insight-ready data that powers our products and services.

Key Responsibilities

• Evaluate the relative and overall quality of our data sources including data produced by AI models web scraping manual coding and other coded sources
• Define and implement metrics that provide actionable insights to both improve data reliability and quality and help support prioritisation and harmonisation of our data sources
• Provide consistent reporting on data source quality using dashboards and reports to communicate trends and issues and proposed actions to address
• Identify anomalies patterns and potential risks in these data sources with a key focus on ensuring the confidence of AI-generated data
• Design and implement methods to detect outliers inconsistencies and unexpected trends in data sources
• Investigate root causes of anomalies and collaborate with technical teams and key stakeholders to address underlying issues
• Support the application of validation rules checks and metrics to monitor data quality over time
• Collaborate with data scientists and engineers to refine AI outputs based on quality findings
• As needed support taxonomy recognition tasks to ensure our attributes achieve the required quality thresholds

Qualifications

• Experience in data analysis data quality essential
• Experience working with AI/ML-generated data beneficial
• Strong skills in SQL and data visualization tools (e.g., Power BI, Tableau)
• Experience with anomaly detection techniques and tools is highly desirable
• Understanding of AI/ML concepts and how data flows through models
• Excellent attention to detail analytical thinking and communication skills

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://nielseniq.com/global/en/info/niqs-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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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