Specialist Business Intelligence at NielsenIQ

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Discover, Discover Add-ins, DDM, Data Modeling, Visualization, Data Integration, Data Exploration, Data Validation, Extract Creation, Dataviews, Fact Tables, Cross-functional Collaboration, Requirement Gathering, Performance Monitoring, Root Cause Analysis, Power BI

Industry

Software Development

Description

Job Description Job Summary We are seeking a skilled professional with expertise in Discover, Discover Add-in, and DDM applications. The ideal candidate should possess strong capabilities in data modeling and visualization, along with excellent analytical and communication skills. Key Responsibilities Data Integration Expertise in Discover and Discover Add-ins to build, customize, and manage reports and dashboards. This includes performing data exploration, validation, and analysis to ensure accuracy and consistency, as well as handling extract creation, modifications, and troubleshooting based on business requirements. Strong experience working with DDM extracts, dataviews, and fact tables to support client deliverables, including validating data completeness, product availability, and historical coverage across databases. Ability to collaborate with cross-functional teams to resolve data issues and support reruns or enhancements. Collaboration Work closely with business stakeholders to gather requirements and translate them into technical specifications. Provide training and support for end-users on Power BI functionalities. Optimization & Security Proactively monitor report and extract performance using execution logs, run-time metrics, and failure patterns; implement corrective actions to maintain SLA adherence and platform stability. Perform end-to-end analysis of complex bugs and production issues, including root cause analysis across source data, transformations, entitlement logic and downstream BI outputs Required Skills & Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field. 1–4 years of experience . Proficiency in: Discover and Discover Add-ins for reporting, analysis, and extract management DDM (Data Delivery Manager) extracts, dataviews, and fact file validation Data validation, product analysis, and historical data checks PowerPoint (PPT) for creating client-ready presentations and data visualizations Data modeling concepts and visualization best practices for business insights Strong analytical and problem-solving skills. Excellent communication and requirement-gathering abilities. Preferred Skills Hands-on experience with Discover, Discover Add-ins, and DDM applications Strong familiarity with working on extracts, dataviews, fact tables, and data validation activities Proficiency in Advanced Excel for validations, reconciliations, and ad-hoc analysis Added advantage – prior exposure to BI or visualization tools such as Power BI or Tableau 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

Responsibilities

The role involves building, customizing, and managing reports and dashboards using Discover and Discover Add-ins, ensuring data accuracy through exploration and validation, and handling extract creation and modifications based on business needs. Key duties also include supporting client deliverables using DDM extracts, dataviews, and fact tables, and collaborating with teams to resolve data issues.