Sr. Principal, Quantitative Analytics and Data Science - (HR Practice)

Key Skills

Oracle, Python Programming, MongoDB, SQL, Machine learning techniques, Natural Language Processing (NLP), NoSQL, SciPy, Scikit-learn, R Programming, Linux Operating system, Statistical modeling, Recommendation Systems, SPSS Statistics, Predictive Modeling, Text Processing

Job Description

Senior Principal, Quantitative Researcher (HR Practice)

About this role:

A Senior Principal, Quantitative Researcher works closely with C-level executives, researchers, and advisors to identify, lead, and produce research that solves complex business challenges on a global scale. Senior Principals enjoy exposure to the full array of strategic thought work including primary and secondary research, designing, and implementing surveys, predictive statistical modeling, and proprietary research exercises focused on breaking down ideas in search of insight.

What you will do:

• Dissect problems using quantitative and qualitative research and analysis skills, inductive and deductive reasoning, abstract thinking and root-cause analysis
• Lead new-to-world quantitative research workstreams, including survey modeling and design, and other data collection techniques
• Analyze large data sets using advanced statistical techniques to identify actionable insights for senior executives
• Convert research and data analysis results into clear narratives and visually- compelling presentations designed to teach ideas to clients and stakeholders
• Develop and mentor junior members of the team

What you will need:

• Bachelor's degree, preferably in an analytics-heavy field (e.g., Economics, Psychology, Sociology, Political Science, Applied Statistics, Policy Analysis, etc.); Master’s/PhD strongly preferred
• 7+ years of experience in analyzing quantitative and qualitative data to identify relevant findings
• Expertise in designing and implementing research surveys
• Project management experience across large-scale research projects
• Experience creating intuitive graphical representations of data for both technical and non-technical audiences.
• Ability to extract insight from data using statistical analyses (e.g., multi-variate regressions, logistic regressions, cluster analysis, factor analysis, etc.) and supporting software packages (e.g., R, Python, SPSS, etc.)
• Proficiency in advanced analytics techniques (e.g., natural language processing, machine learning, etc.) a plus, but not required

Who are we?

Gartner delivers actionable, objective insight to executives and their teams. Our expert guidance and tools enable faster, smarter decisions and stronger performance on an organization’s most critical priorities. We’ve grown exponentially since our founding in 1979 and we're proud to have nearly 16,000 associates globally that support our 14,000+ clients in more than 100 countries.

What makes Gartner a great place to work?

Our teams are composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We believe that a variety of experiences makes us stronger—as individuals, as communities and as an organization. That’s why we're recognized worldwide as a great place to work year after year. We've been recognized by Fortune as one of the World’s Most Admired Companies, named a Best Place to Work for LGBTQ Equality by the Human Rights Campaign Corporate Equality Index and a Best Place to Work for Disability Inclusion by the Disability Equality Index. Looking for a place to turn your big ideas into reality? Join #LifeAtGartner

What we offer:

Our people are our most valuable asset, so we invest in them from Day 1. When you join our team, you’ll have access to a vast array of benefits to help you live your life well. These resources are designed to support your physical, financial and emotional well-being. We encourage continued personal and professional growth through ongoing learning and development opportunities. Our employee resource groups, charity match and volunteer programs keep you connected to your internal Gartner community and causes that matter to you.

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability.