Gartner - Senior Specialist - Quantitative Analytics & Data Science

Senior Specialist - Quantitative Analytics and Data Science

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.

About this Role :

Gartner's FLORS (Finance, Legal, Operations, Risk and Strategy) Practice is currently seeking a Senior Quantitative Specialist for its Quantitative Insight team. The team leverages proprietary data and frameworks to offer original, actionable solutions to key business problems facing senior executives across industries.

What You'll 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'll Need :

- Masters or PhD in disciplines with a strong quantitative component, including Science, Mathematics/Statistics, Computer Science, Economics, Econometrics

- 3-5 years of total experience, with expertise in data analysis, quantitative research, analytics or benchmarking, product development

- Advanced knowledge of Microsoft Excel and Power Point. Proficiency with scripting languages such as R, Python.

- 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

Who You Are :

- Experience of working on projects which involved large data sets

- Proficiency with scripting languages such as R, Python.

- Experience of working on projects which involved large data sets

- Original/creative thinking and superior problem-solving abilities

- Strong communication skills - both written and verbal

- Detail-oriented and strong commitment to high quality results to serve needs of clients and internal partners

What we offer :

- Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Employee Provident Fund (EPF) contributions, Parental Leave, Employee Assistance Program (EAP) and more!

- Collaborative, team-oriented culture that embraces diversity

- Professional development and unlimited growth opportunities

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