Gartner Recruitment 2026 opens an exciting opportunity for fresh graduates and early-career professionals aiming to build a strong career in data analytics and business intelligence. Gartner, a globally respected research and advisory company, is hiring for the role of Associate Data Analyst at its Gurgaon, Haryana location. This hiring drive is well suited for candidates with 0–2 years of experience who are passionate about working with data, analytics tools, and modern cloud technologies.
As organizations increasingly rely on data-driven decision-making, roles like Associate Data Analyst are in high demand. This off campus drive 2026 offers freshers hiring exposure to real-world datasets, product-driven analytics, and collaboration with global teams. Candidates looking to start their analytics journey with a reputed multinational company should closely consider this opportunity.
Gartner Recruitment 2026
| Category | Details |
|---|---|
| Company Name | Gartner |
| Job Role | Associate Data Analyst |
| Job Type | Full Time |
| Work Mode | On-site |
| Experience | 0–2 Years |
| Qualification | Bachelor’s / Master’s Degree (Engineering or Technical Field) |
| Location | Gurgaon, Haryana |
| Key Skills | Python, SQL, Data Pipelines, BI Tools |
| Salary | Expected ₹6–10 LPA |
Job Overview
The Associate Data Analyst role is part of Gartner’s Product Management Organization, which designs and builds interactive tools that deliver valuable insights to Gartner clients. This position combines the agility of working in a startup-like environment with the stability and resources of a large global organization.
In this role, you will work closely with product, research, and technology teams to integrate multiple data sources, maintain data quality, and support analytics workflows. It is a full-time, on-site position based in Gurgaon and ideal for candidates interested in data engineering, analytics, and business intelligence.

Key Responsibilities
Candidates selected for the Associate Data Analyst role will handle a variety of responsibilities related to data processing and analytics, including:
- Collaborating with product, research, and technology teams to understand business requirements
- Accessing, processing, transforming, and reporting data from multiple sources
- Automating manual data processes using internal tools where possible
- Supporting the creation of scalable data repositories through data discovery and pipeline development
- Building and maintaining data pipelines to support long-term analytics needs
- Delivering clean, curated datasets to end users
- Applying best practices in data testing, deployment, documentation, and quality assurance
This role provides hands-on experience in managing large datasets and contributing directly to Gartner’s data-driven products.
Skills Required
To be eligible for Gartner Associate Data Analyst Recruitment 2026, candidates should possess the following skills and qualifications:
Educational Qualification
- Bachelor’s or Master’s degree in engineering or an associated technical field
Technical Skills
- 0–2 years of experience working with large datasets
- Experience in data transformation, cleaning, and pipeline development
- Proficiency in Python
- Strong understanding of relational databases such as SQL and NoSQL
- Experience with Business Intelligence platforms like Power BI, Tableau, or Amplitude
- Familiarity with cloud technologies such as AWS, GCP, or Azure
Soft Skills
- Strong analytical and problem-solving abilities
- Ability to collaborate effectively across teams
- Clear communication and documentation skills
- Curiosity and willingness to learn new tools and technologies
Why Join Gartner?
Gartner is widely recognized as a great place to work due to its focus on growth, inclusion, and innovation. Some key reasons to join Gartner include:
- Opportunity to work on high-impact, data-driven products
- Exposure to global clients and enterprise-level analytics challenges
- Strong culture of learning, feedback, and career development
- Inclusive and diverse work environment
- Competitive compensation and performance-based rewards
- Flexibility through a hybrid, virtual-first work approach
For candidates searching for Gartner recruitment 2026, this role offers an excellent platform to grow both professionally and personally.
Salary Details
The salary for the Associate Data Analyst role at Gartner is as per company standards and competitive within the industry. In addition to base compensation, employees receive benefits such as health coverage, learning resources, career development programs, and performance-linked rewards.
Hiring Location
- Gurgaon, Haryana
This is an on-site role, and candidates should be prepared to work from Gartner’s Gurgaon office as per business requirements.
How to Apply
Eligible candidates can apply online through Gartner’s official careers portal by searching for the Associate Data Analyst position using Job Requisition ID: 105949. Applicants are advised to:
- Prepare a strong resume highlighting data analytics and technical skills
- Ensure qualifications and experience match the role requirements
- Apply only through official Gartner recruitment channels
Gartner Apply Link :  Click here
Resume Help (Optional):
Top 7 Perfect One-Page Resume for Any Job for Freshers – Click Here
Instant Job Updates and Alerts :
Telegram Group : Click here
Join our WhatsApp Group: Click here
About the Company
Gartner, Inc. (NYSE: IT) is a world-leading research and advisory firm that provides actionable insights to business and technology leaders. Founded in 1979, Gartner has grown into a $6.3 billion company with more than 21,000 associates globally, serving approximately 14,000 client enterprises across 90 countries.
Gartner’s mission is to guide the leaders who shape the world by delivering objective, expert analysis and bold ideas. The company is known for its high standards, inclusive culture, and strong focus on professional development. Gartner Recruitment 2026 reflects the organization’s continued commitment to hiring talented individuals who want to make a meaningful impact through data and technology.



