Company Name:-
Gartner

Job Location:-
Bengaluru, Karnataka

Job Summary:-
What makes Gartner Research & Advisory a GREAT fit for you? When you join the world’s leading Research & Advisory company, you’ll be part of a team that values curiosity, expert insights, bold ideas and intellectual courage, while driving partnerships with global organizations to make the right decisions on their key initiatives.

Through constant learning, discovery and collaboration, you’ll not only help clients accomplish their mission-critical priorities, but also grow your career and the scope of your impact across industries.

Our culture demands dedication— and rewards it with opportunity.

If you’re always looking for what’s next in business and technology, Gartner is looking for you.

Interested in learning more, view and register for any of our upcoming recruiting events here!
About this Role
The Quantitative Research Specialist is an individual contributor role with a focus data science analytics and inference.

The selected incumbent will be part of Data Governance team working with quant researchers using data creatively to solve business challenges.

The role is responsible for deploying and enforcing policies and procedures that ensure data is used and maintained properly.

This position is for experienced researchers interested in conducting quantitative research, analysis, and reporting.

Team members enjoy exposure to creating and implementing a data governance program and building metrics that have the power to provide insights to help make better decisions across the business unit.

What You’ll Do
Implementation of data governance policies and frameworks on how the product acquires, transforms, analyze and visualize the data, allowing for traceability of data.

Manages data governance standards and procedures.

Facilitates policy maintenance and periodic reviews.

Work with stakeholders/process owners identify, analyze, and develop key measures and recommendations for process improvements.

Establishes criteria on various data quality parameters and help prioritize quality check activities for the data platform.

Owns data profiling and assessment of data for completeness, accuracy etc.

Participate in inventorying initiatives (e.g., models, measures, other quantification mechanisms and output, risks, and

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