Associate Data Analyst
- Gartner
- Gurugram, India
- INR 600,000 – INR 900,000
Global Sales & Services Operations (GSSO) is the team that helps shape Gartner's mission-critical sales and services priorities and works with sales and services leaders to drive tactical and analytical insights. As an associate on the GSSO team, you'll be at the forefront of the ongoing transformation of Gartner's sales and services teams, which drive approximately $5.3B in Contract Value (CV). You will partner with business leaders across Gartner to support global sales and services teams comprised of nearly 9,000 associates who sell to and service every major function across the enterprise.
About this role:
The Associate Data Analyst is part of the GSSO’s Process and Program Analytics team. The team innovates the way the Sales and Services teams help clients receive value and enables smarter decision making by functional leaders who are our clients. This role supports cross-functional efforts to proactively uncover new ideas, opportunities, and strategies on the way we function as a Global Sales and Services Operations organization to drive higher client retention.
You will have access to large and complex data sets that will enable you to develop and support analyses that solve business problems and improve existing processes using different tools. You will collaborate within and across teams to support ongoing initiatives, create scalable solutions, and provide analytical insights that contribute to continuous improvement in client retention and Sales & Service team productivity.
What you’ll do:
Support senior stakeholders and project leads in defining problem statements, gathering initial scope, and coordinating with cross-functional teams to help problem-solve and drive execution
Contribute to end-to-end cross-functional projects that support strategic priorities across Gartner, including:
- Initial data exploration and analysis to support solution framing
- Supporting the design and execution of pilots with smaller groups as needed
- Helping gather relevant inputs through interviews or focus group discussions
- Synthesizing learnings and supporting the design of scale-up solutions
Create/maintain reporting dashboards that will be leveraged by various business and operations teams for deriving key insights and analyzing metrics
Provide consistent, timely, recurring reporting and analysis to support strategic decision making
Solve problems with structured/unstructured quantitative and qualitative data and derive key insights that are top priorities for improving Sales & Service performance and client retention
Create, compile, and analyze ideas for service improvement, evaluating them based on customer, financial, Service associate, and competitive considerations, depending on the nature of the project
Collaborate with stakeholders across Strategy & Operations, Services & Delivery, Sales, Product, and Research & Advisory teams to help bring solutions to our service and delivery teams in a coordinated way
What you’ll need:
- 1-2 years of experience, ideally with a focus on Business/Data Analytics
- Bachelor’s Degree required, preference for graduation in Engineering, Mathematics, or Statistics
- Exceptional communication skills, both written and verbal, combined with strong attention to detail
- Exceptional analytical skills, with demonstrable experience with Microsoft Excel, SQL, and PowerBI
- Demonstrable experience in creating/maintaining visualization dashboards to represent key business metrics
- Exposure to Python and/or Databricks for advanced data engineering and analytics will be a plus
- Ability to work with business stakeholders to understand key requirements and break them down into data problems
- Quantitative and qualitative problem-solving experience
- Strong ownership, project management, and organizational skills with a focus on results and timelines
- Experience supporting and working with cross-functional teams in a dynamic environment
- Experience and flexibility working in a global set-up is a plus
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-MP4 #GSSO
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 20,000 associates globally who support over 13,000 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.
Gartner is the world authority on AI
At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.
It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you.
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:113906
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Skills
- SQL
- Data Analysis
- Data Visualization
- Microsoft Excel
- Python
- Business Intelligence
- Statistical Analysis








