Job Description
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 .This includes client value drivers: Research content, Client interaction, and the insights in conferences and events. IPA also supports the BTI organization by enabling and performing analysis running from client retention analytics, associate performance analytics, budget and financial analysis (in partnership with the finance organization), and client demand sensing. We power fact-based decision making by providing data, insights, and analytic tools to continuously improve our business operationally and strategically.
We are looking for a 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.
What you'll do:
- Partner with colleagues to do analysis that surfaces actionable insight for the BTI organization. Effectively communicate findings to drive adoption and implementation. Build dashboards and reporting.
- Project ownership: Contribute to key projects following rollout plan, success criteria and metrics
- Domain expertise: Become a deep subject-matter expert on Gartner's data, analytic tools, reports & data infrastructure. Take responsibility for problem-solving, root cause analysis, and devising testing methodologies for validation and articulately explaining data sources to senior audiences
- Continuous improvement: Support and enable improvement initiatives related both to IPA deliverables (e.g. new, innovative data sources, analytic insights, tools) as well as operational process improvement (e.g. improving IPA processes and communications)
- Collaborate with the Information Technology team and data scientists to ensure data quality, integrity, and consistency
What you'll need:
- Experience: 2-3 years of experience involving analysis of large volumes of data with strong hands-on experience with analytical tools & expereince in/conceptual understanding of Data Science. Ability to gather, analyze, restructure, identify and articulate insights from qualitative and quantitative data
- Education: Bachelors 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: Advanced Excel and PowerPoint. SQL, Python/R, Databricks, Basics of Data Science
- Collaboration: Strong collaboration and influencing
- Communication: Strong verbal and written communication as well as the ability to work independently
- Location: Candidates that apply will need to reside within a reasonable proximity to a Gartners Centers of Excellence office location (Gurgaon)
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
Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Gartner
Location(s): Noida, Gurugram
Keyskills:
SQL
Python
Predictive Analytics
Quantitative Analysis
Advanced Analytics
Data Analysis
Statistical Data Analysis
Data Analytics