Sr. Data Analyst (Retention Analytics and Applied IVR) at Gartner

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

17 Jul, 26

Salary

0.0

Posted On

18 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data analytics, Business analytics, Data science, Python, R, SQL, Predictive modeling, Statistical analysis, Data visualization, Problem solving, Critical thinking, Analytical reasoning, Microsoft Excel, PowerPoint, Stakeholder management, Communication

Industry

Information Services

Description

About the role: The Retention Analytics and Applied IVR team within the Business Technology and Insights group at Gartner is at the forefront of harnessing AI to better anticipate, forecast and predict the performance and quality of content and Interactions. We are a high impact team leveraging Gartner’s proprietary data to enhance existing processes and driving new content type and client experience. We are looking for a Senior Data Analyst who is a highly analytical problem solver, possesses strong business acumen and can act as a bridge between business and technology. This role requires both a strong understanding of data science fundamentals and the ability to work to ensure that others on the team have the ability to share insights from data science models and other analytics methods. What you will do: Leverage proprietary predictive power methodologies to ensure content recommendations are grounded in analytically sound approaches Interact with business leaders to understand their pain areas and build solutions catering to their needs. Harness full potential of Gartner proprietary data to enhance existing processes and content type Work with data scientists and data engineers to ensure that the developed solutions are in line with the requirements Analyze large amounts of data to derive business insights Own problem structuring, analysis and implementation of strategic initiatives and key, cross-organizational deliverables, partnering with stakeholders and coaching team members What you will need: Experience: 3-5 years of progressive business experience involving data/business analytics, understanding of basic Data Science concepts &/or experience of working closely with the Data Science team Education: Bachelor’s Degree required with a concentration in statistics, data science, mathematics, engineering, computer science, or operations research preferred Ability to develop data science models Strong technical understanding of data and skills to analyze as well as visualize it Basic of Programming languages e.g. python, R, SQL Exceptional problem solving: Proven track record of solving complex problems, Critical thinking, Analytical reasoning, Innovation, and using data to influence senior level stakeholders. Demonstrated thought leadership with high business impact throughout career Statistical analysis including the ability to identify patterns and trends in the data, avoid bias and apply the right models/methodologies/calculations Attention to detail e.g., data hygiene, quality checks, documentation etc High proficiency in Microsoft excel and power point Rigorous prioritization and working in fast-paced environments: Track record of success in environments with competing and continuously evolving priorities Strong collaboration and influencing skills in a highly matrixed environment. Influencing stakeholders and team members based on a command of the facts, analysis, and implications Outstanding verbal and written communication – structured, engaging, and compelling What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities #LI-PM3 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. 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 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. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:107550 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. At Gartner, we guide the leaders who shape the world. About 14,000 client enterprises worldwide rely on Gartner for actionable, objective business and technology insights. Our teams of thinkers and doers know that staying curious is the best way to shape the future, for ourselves and our clients. Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Responsibilities

The Senior Data Analyst will leverage predictive methodologies to ground content recommendations in analytical insights and collaborate with business leaders to solve complex problems. They will also partner with data scientists and engineers to ensure solutions meet business requirements while coaching team members.