Gen AI Market Analyst
4 months ago
Key job responsibilities
•Market Research and Analysis: Gather, synthesize, analyze, and interpret vast amounts of data including industry reports, news articles, social media, public policy, financial statements, and competitor information. Conduct competitive intelligence analysis and identify patterns to understand the market landscape, competitor strategies, and potential threats or opportunities.
•Insight Generation and Reporting: Produce comprehensive intelligence reports, presentations, and executive summaries for specific business opportunities. Collaborate with cross-functional teams to understand business objectives and tailor reports to meet specific needs. Create compelling narratives and actionable insights from complex data sets.
•Data Visualization and Storytelling: Create visually appealing, clear, and informative data visualizations, info-graphics, and interactive dashboards to present complex data in an intuitive way. Use storytelling to effectively and concisely communicate complex insights derived from data.
•Innovation and Continuous Improvement: Stay up to date with the latest developments in Generative AI technologies and their applications in market research and analysis. Identify opportunities for process optimization and proactively recommend improvements.
A day in the life
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
About the team
The MI team focuses on collecting, analyzing, and interpreting market data to produce actionable insights to inform our business decisions and drive growth.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- Bachelor’s or master’s degree in a relevant field such as business analytics, data science, market research, or a related discipline.- Minimum of 10 years of relevant experience across business analytics, market research, AI/Generative AI or related disciplines.
- Proven knowledge of Generative AI market.
- Familiarity with market research methodologies and techniques with demonstrated ability to analyze and solve complex problems as well as derive insights from complex data sets.
- Strong communication skills to establish credibility with executives and additional stakeholders.
PREFERRED QUALIFICATIONS
- MBA or related in a relevant field such as business analytics, data science, market research, or a related discipline.- AI or Generative AI industry certifications
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