At a Glance
- Tasks: Lead data-driven insights on AI's impact in tech markets and collaborate with expert teams.
- Company: Gartner, a leader in tech research and market analysis.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and impactful research.
- Why this job: Shape the future of AI economics and influence global tech strategies.
- Qualifications: Strong analytical skills and experience in market research or data analysis.
The predicted salary is between 90000 - 110000 £ per year.
Gartner is building the industry's leading Tech Market Economics capability to understand where AI creates, captures and destroys value across the technology ecosystem. As a Senior Director Analyst, you will lead the development of data-driven Gartner positions, partnering with our modelling, data science and data engineering teams to scale impact across Gartner's global research footprint. The role emphasizes judgment, curiosity and the ability to synthesize signals into defensible market.
AI Tech Economics Leader - Market Insights in London employer: Gartner, Inc.
Gartner is an exceptional employer that fosters a dynamic and inclusive work culture, where your contributions directly impact the success of global enterprises. With a commitment to professional growth, employees benefit from world-class resources and opportunities to thrive in a hybrid work environment, all while being part of a team that values collaboration and innovation. Join us at Gartner, where your passion for compliance and legal excellence can flourish in a supportive and engaging community.
StudySmarter Expert Advice🤫
We think this is how you could land AI Tech Economics Leader - Market Insights in London
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We think you need these skills to ace AI Tech Economics Leader - Market Insights in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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