Data Analytics Lead
4 weeks ago
Gartner is seeking a highly analytical problem solver to join our Research Business Analytics (RBA) team as a Data Analytics Lead. This role will be responsible for end-to-end ownership of deliverables related to client interactions, including proposal reviews and conference interactions.
The ideal candidate will have 5-7 years of progressive business experience involving advanced business analytics, complex problem solving, and business strategy. A strong technical understanding of data and skills to analyze and visualize it, including programming languages such as Python and R, and data visualization tools like Tableau and Power BI, are required.
The Data Analytics Lead will work closely with stakeholders from IT, R&A Strategy & Operations, Research Engagement Services, and Global Product Management to understand business needs and identify capabilities that enhance our analysis. This role will also involve prioritizing efforts based on business impact, fostering seamless communication and change management across relevant stakeholder organizations.
Key Responsibilities:
- Build expertise to be the center of excellence on Gartner research and client interactions with deep knowledge of the data across source systems, the data warehouse, and dashboards/reports.
- Ensure the analysis is robust and reliable, providing data and guidance to other Gartner teams.
- Partner with stakeholders to understand business needs and identify capabilities that enhance our analysis.
- Prioritize efforts based on business impact, fostering seamless communication and change management across relevant stakeholder organizations.
- Structure and analyze large datasets to derive meaningful insights and actionable information.
- Play an integral role in developing and continuously improving a methodology to measure client engagement and, thereby, impact of interactions for Gartner.
Requirements:
- 5-7 years of progressive business experience involving advanced business analytics, complex problem solving, and business strategy.
- Strong technical understanding of data and skills to analyze and visualize it, including programming languages such as Python and R, and data visualization tools like Tableau and Power BI.
- Ability to conduct statistical analysis to identify patterns and trends in data, ensuring objectivity and minimizing bias by applying appropriate models, methodologies, and calculations.
- Excellent communication and influencing skills in a highly matrixed environment.
What We Offer:
- Competitive compensation and benefits package.
- Opportunities for professional growth and development.
- A dynamic and collaborative work environment.
How to Apply:
If you are a motivated and analytical individual with a passion for business analytics, please submit your application, including your resume and a cover letter, to [insert contact information].
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