ABOUT THIS JOB 

As part of consumer intelligence loyalty Onboarding team the candidate will work closely with retailers, IT teams and Nielsen Stakeholders to ensure faster onboarding of retailers data onto Nielsen designated platforms (SAS or others) and create sustainable & flexible keystroke level processes for the execution staff to carry out these data solution updates on an agreed frequency (daily/weekly).

They’ll closely work with a wide range of internal & external stakeholders to support various product/platform enabling data requirements.

JOB RESPONSIBILITIES 

Interacting with business/commercial teams to understand product requirements

Frame data requirements based on product scope

Engage with Retailer IT teams to get the data outlined above in data requirements

Onboard this data using available ingestion platforms (currently SAS/Linux) and apply necessary transformations as per requirement

The ideal candidate will be creating, refining and troubleshooting execution procedures in languages preferred/supported by the ingestion platform. 

The job requires extensive scripting/coding upto 60% of the time.

Maintain the referential integrity in the published datasets

Provide extracts from these datasets to downstream processes/third party vendors

Work as a single source of truth for all data/logic related inquiries etc.

Provide consultation and support to BAU execution staff.

Upskill them to troubleshoot data/process specific issues.

A LITTLE BIT ABOUT YOU

Strong technical & business sense with general systems understanding from ETL (Extract , Transform, Load) pov.

Proven ability to work with multiple Stakeholders across the organization and manage requirements and expectations simultaneously

Mastery in data transformation, manipulation and access controls etc.

Ability to work independently without supervision. 

QUALIFICATIONS/ SKILLS 

5-8 years of experience in Data Science or equivalent fields.

Location : Open to evaluate candidates from Pune , Gurgaon , Delhi , Chennai , Vadodara locations too. (Currently we are working from home)

Experience in contemporary technologies (e.g. PySpark, Apache, Numpy, Pandas, Perl etc.)

Proficiency in Linux, R, Python & any open source language.

Experience dealing with large amounts of data (TBs) and related troubleshooting experience.

Graduate in Maths/Science/Technology or any quantitative fields OR B.E. /B.Tech graduates.

Post graduate candidates with relevant experience can also apply. 

About NielsenIQ 

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

NielsenIQ is committed to hiring and retaining a diverse workforce. 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.