Gartner | Jobs | Principal, Quantitative Analytics and Data Science | BigDataKB.com | 03-02-22

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Job Location: Gurgaon/Gurugram

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The role is responsible for developing, supporting, and executing strategic research that is fueled by intensive data collection, in depth quantitative analysis and data science techniques. Researchers engage in all aspects of insight generation, including managing data collection; designing surveys; conducting descriptive and prescriptive data analysis; and using frameworks such as hypothesis testing to generate and communicate insights, in partnership with senior industry experts in Gartner.

What you will do:

  • Drive the effective use of data and quantitative analysis methods and tools in financial services Research & Advisory through:
  • Translation of research & advisory hypotheses into logical, clearly defined and efficiently constructed quant methods and models;
  • Survey design that presents a logical path to proving research hypotheses
  • Use of survey mechanics that generate required sample size and other critical sample/data needs to ensure a high quality sample;
  • Data analyses that are structured to clearly prove/disprove research hypotheses;
  • Testing of results to assess the reliability and validity of data findings;
  • Preparation of data findings and tools that are impactful, creative, and demonstrate confidence in proving research hypotheses and supporting Gartner client priorities.

Uphold data quality standards in all deliverables across the Research & Advisory team through: Editing of research deliverables to ensure proper and effective use of data findings; Creation of survey and graphic templates to facilitate simple survey design and use by researchers and analysts; Updating and maintaining data assets to ensure that all researchers and analysts have easy access to accurate and timely data to support their work; Identifying external data sources that can be leveraged in research and advisory work and create methods to make them accessible; Collaborating with researchers and analysts to identify areas where data/quantitative analysis can play a role in strengthening Gartner s research; Active attendance at key research milestones to address data related issues

Partner with other teams within Gartner to deliver specific analyses for assigned research projects through: Creation and management of the project plan to deliver the quant in the stated time frames and to the stated level of quality; Consistent engagement with other teams to develop findings and address routine workflow issues; Quality check of outputs before sharing with research and advisory team and addressing any related risks or concerns as they are identified; Creation of outputs to be shared across the Gartner research and advisory community.

What you will need:

  • Masters in disciplines with a strong quantitative component, including Science, Mathematics/Statistics, Computer Science, Economics, Econometrics, Commerce
  • 5-7 years of total experience, with at least 2 years experience working in data analysis, quantitative research, analytics or benchmarking
  • Mastery in at least one Statistical software package (R, Python, SPSS, etc.)
  • Working knowledge of running supervised and unsupervised Statistical analysis such as regressions, factor analysis, clustering, etc.
  • Working knowledge of sampling methodologies, survey questionnaire design, and data management
  • Good to have: Understanding of Web scraping , NLP Techniques or other machine learning techniques
  • Creative thinking and superior problem-solving abilities
  • Outstanding written and verbal communication skills and a drive to create and communicate high-impact storylines through written narratives
  • Ability to collaborate with globally distributed team members from diverse backgrounds
  • Detail-oriented and strong commitment to high quality results to serve needs of clients and internal partners

What you will get:

  • Competitive salary, generous paid time off policy, charity match program, and more!
  • Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP)
  • Collaborative, team-oriented culture that embraces diversity
  • Professional development and unlimited growth opportunities

Apply Here

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