Gartner Recruitment Drive; Hiring Associate Data Analyst – Apply Now

They are looking for a proven, highly analytical problem solver to be part of their growing team. This role will be part of a team working on high priority projects like development and implementation of IVR (a metrics to evaluate the retention impact of all Gartner assets). You will be involved in establishing effective performance metrics for the R&A organization and acting as the central analytics team across R&A and products. This role will work with various R&A practices as well cross function partners and stakeholders from Services, Sales and Products. This is an exciting opportunity to be hands-on in our efforts to define a clear path to even higher retention and revenue levels for Gartner.

Name of the Organization: Gartner

Requisition ID: 94692

Positions: Data Analyst / Associate Data Analyst

Location: Gurgaon

Salary: As per company Norms

Educational Qualifications:

• Experience: 0-3 years of experience involving analysis of large volumes of data with strong hands-on experience with analytical tools like advanced excel. Familiarity with other technical skills like PowerBI, Python, SQL & Data Science concepts is an added advantage.  Ability to gather, analyze, restructure, identify and articulate insights from qualitative and quantitative data
• Education: Bachelor’s Degree is required. Degree with a concentration in finance, statistics, data science, mathematics, engineering, computer science, or operations research is good-to-have
• Exceptional problem solving: Proven track record of solving complex problems, thinking creatively, and using data to tell a story to influence senior level stakeholders. Demonstrated thought leadership with high business impact throughout career
• Success in fast-paced environments: Track record of success in fast-paced environments with competing and continuously evolving priorities
• Collaboration: Strong collaboration and influencing skills in a highly matrixed environment
• Communication: Outstanding verbal and written communication – structured, engaging and compelling.

Responsibilities:

• Develop a robust framework of retention analytics to derive actionable insights for the R&A organization.
• Standardize the presentation and communication of complex analyses through automation and senior leadership updates.
• Partner with the data science team as well as other cross-functional teams from sales, service, products and R&A
• Partner with operations leads on various R&A practices to ensure standardized execution on retention improvement plans
• Stakeholder management & communication: Build deep and lasting relationships with stakeholders across the Research & Advisory organization as well as other functional areas.

Benefits:

• Competitive base salary
• Flexible work environment
• A great work culture.

 

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