Data Analyst
Vadodara, India
Applications have closed
NielsenIQ
We’re unrelenting in our pursuit of the most detailed data sets, measuring every consumer transaction to deliver the knowledge that every business needs to drive growth.Job Description
The Data Analyst will consult with internal clients to help create tailored solutions meeting internal and external client needs. They will execute the day-to-day survey programming and data processing related tasks for the Smart suite of projects for CI globally. They will support the Smart Store COE team to ensure projects are executed as requested by clients and are ready to run by the required deadlines. They will ensure good relationships and liaison with internal clients. Responsible for all project tasks for both Qualitative and Quantitative type projects.
Main Accountabilities:
- Programming which mainly consists of converting written questionnaires from Microsoft word documents into current field software (e.g., Decipher). Ensure all checks and balances are completed prior to launching a study and troubleshoot issues should they arise.
- Data processing and preparation and quality control for assigned projects. Processing the data to create client output and undertaking quality control measures to ensure the accuracy of the final data, in accordance with stipulated analysis plans.
- Collaborate with CI Ops counterparts to enhance and maintain the global Decipher template and incorporate North America specific requirements (including ISQ standards).
Knowledge and Skills Requirement:
- Experience 1.5 years and above.
- Proficient in MS Office: Word, Excel, and Outlook & G-suite (or similar programs)
Knowledge of programming languages such as Python, R, XML, or similar (preferred)
Knowledge of Decipher, ConfirmIt or similar survey programming platforms or Quantum experience
Solid understanding of Boolean logic
Ability to work in a fast-paced environment under tight deadlines
Superior interpersonal and communication skills
Excellent verbal and written communication in English
Problem solving skills
Self-motivated to work productively from home
Qualifications
Completion of a post-secondary college diploma or a university degree in a market research related program (Applied Social Science / Mathematics-Statistics, Computer Science) or equivalent/related field is an asset
Direct work experience within Market Research is preferred
Additional Information
About NielsenIQ
NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world’s population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what’s possible. How? We combine unparalleled datasets, pioneering technology, and the industry’s top talent to create insights that unlock innovation. Join us and change the landscape.
Learn more at: www.niq.com
Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook
Our commitment to Diversity, Equity, and Inclusion
NielsenIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.
We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.
Learn more about how we are driving diversity and inclusion in everything we do by visiting the NielsenIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion/
Tags: Computer Science Data Analytics Excel Market research Mathematics Python R Research Statistics XML
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