Data Operations Analyst at NielsenIQ

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

346000.0

Posted On

10 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Communication Skills, Problem-Solving, Attention to Detail, Teamwork, Market Research, Data Cleansing, Data Visualization, Operational Processes, Proactivity, Flexibility, Learning Agility, Timely Delivery, End-to-End Process Understanding, Analytical Skills, Organization Skills

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 Work Location – Porur, Chennai Shift - Flexible for all shifts CTC - 3.46 LPA Qualification: Arts and Science Under Graduates/Post Graduates – 2024 & 2025 Passed out Only. Interested in keeping up with Market Research Domain Knowledge of collating, cleansing, analyzing, interpreting, and visualizing large volumes of data Good communication skills Enthusiastic to learn and grow within the function Should be able to understand the end-to-end process and identify avenues of the process improvement Should be flexible with respect to shift timings Fast thinking, crisp communication, and problem-solving skills Responsible for timely delivery of data with high-quality Should be able to learn upstream and downstream processes to be efficient in current role and ensure quality delivery. Qualifications Bachelor of Commerce/Science/ Computer Science/ Business Information Systems or IT Excellent organization skills, aptitude to work in team and meet deadlines A high degree of accuracy, proactivity and attention to detail Good analytics skills and aptitude for operational processes Common business language knowledge (English): speaking and writing with fluency. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) 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 Data Operations Analyst will be responsible for collating, cleansing, analyzing, interpreting, and visualizing large volumes of data. They will ensure timely delivery of high-quality data and identify avenues for process improvement.