Data Science Quantitative Analytics Lead
hace 4 días
Company Overview
Gartner Careers is a leading research and advisory company that helps organizations navigate the complexities of the digital age. Our team of experts provides actionable advice and insights to help clients make informed decisions.
About this role
We are seeking an experienced Data Science Quantitative Analytics Lead to join our Quads CoE team. As a key member of our research practice, you will work closely with quant researchers to address cutting-edge strategic issues facing senior-most functional executives at leading global corporations.
The selected incumbent will be part of a collaborative team environment, working on a wide range of topics related to data analytics and artificial intelligence. You will have excellent exposure to different research pillars, including analysts and experts, peer and practitioner, as well as quantitative analytics.
Your mission will be to create compelling content and provide actionable advice to Chief Data Analytics Officers (CDAOs), their teams, and other IT roles focused on data and analytics.
You will lead and promote best practices in design, execution, process, and delivery of diagnostic and benchmarking products. You will also communicate and present analytical insights to internal stakeholders and clients.
We are looking for an individual with a strong background in quantitative research, analysis, and reporting using proprietary benchmarking and survey data. Your expertise should include data management and quality, benchmarking and forming surveys, quant modeling, and quantitative insight generation.
You should have experience with advanced data management tools and techniques focused on peeling apart ideas in search of insight.
What you will need
- MBA or master's degree or Ph.D. in Economics, Statistics, or other related fields.
- 5-7 years of experience at a leading research, data analytics, business intelligence, or consulting firm.
- Demonstrated ability to teach and relay ideas, engage clients, and work in global teams.
The estimated salary for this role is $145,000 - $170,000 per year, based on industry standards and location.
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