Sr Data Analyst (ML/Adv. Analytics/Data Science, Python, Databricks, Adv. Excel, Quant & Qual Analytics)
Gartner is hiring a Sr Data Analyst (ML/Adv. Analytics/Data Science, Python, Databricks, Adv. Excel, Quant & Qual Analytics) in Gurugram, India. Level rates it ; you can apply on Gartner.
Level's read on this job
- On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Databricks among its tools and skills.
- Level classes it as a mid-level role.
- Gartner has 802 other open roles on Level.
- Posted in the last few days.
AI in this role
About the role:
The Insights and Product Analytics team (IPA) organization is responsible for business performance of all research products and performs analysis related to all aspects of Gartner’s Business and Technology Insights business unit. The Retention Analytics and Applied IVR team within IPA is at the forefront of harnessing the latest analytics and AI advancements to define paths to higher client retention. The team leads analytics across several fronts spanning content, interactions, conferences and all other Gartner client facing assets. The team also leads critical pillars like associate performance analytics, budget and financial analysis (in partnership with the finance organization).
We are looking for a Sr. Data Analyst who has a passion for analytical problem solving to be part of our growing team. This individual will solve a wide range of problems related to content analytics, interaction and events analytics, demand sensing, staffing models, cost reporting, automation, expert performance analytics, standard reporting, and ad-hoc analytics. Individuals in this role will work closely with IPA leadership to structure problems, identify data sources, perform analysis, and communicate findings. Strong performers will build skills to independently own project workstreams and interact with stakeholders. Projects will include a mix of team problem solving and independent problem solving. Projects will also involve automation and collaboration with the Information Technology team.
What you’ll do:
- Own problem structuring, analysis and implementation of strategic initiatives and key, cross-organizational deliverables
- Partner with data scientist and data engineering teams to develop scalable and advanced analytics-based solutions that directly help with improved client retention
- Analyze large amounts of data to derive business insights
- Play a key role in projects centered around measuring retention impact of all forms of Gartner assets, creating a path to continuous evolution of Gartner’s content, interactions, and other client offering
- Interact with business leaders to understand their pain areas and build solutions catering to their needs
What you’ll need:
- Experience: 3-5 years experience involving analysis of large volumes of data with strong hands-on experience with analytical tools. Ability to gather, analyze, restructure, identify and articulate insights from qualitative and quantitative data
- Education: Bachelor’s Degree, preferably with quantitative concentration (e.g., statistics, data science, mathematics, engineering, operational research, computer science, or economics)
- Exceptional problem solving: Proven track record of solving complex problems, thinking creatively, and using data to tell a story.
- Leadership: Shown ability to engage teams and key stakeholders
- Technical competency: Statistics, Python, Data Science, Databricks, SQL, Advanced Excel and PowerPoint
- Collaboration: Strong collaboration and influencing
- Communication: Strong verbal and written communication as well as the ability to work independently
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 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:115504By 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.
How we rate this
Sr Data Analyst (ML/Adv. Analytics/Data Science, Python, Databricks, Adv. Excel, Quant & Qual Analytics) at Gartner rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $112k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new data analyst jobs by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Data roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step