Product Analyst
SweedSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- BA/BS degree in technical or business fields or equivalent practical experience
- 7+ years of experience in an analytically-intensive role, such as management consulting, finance, business intelligence, or data science
- Excellent data analysis skills combined with ability to identify and solve complex business problems
- Effective communication and presentation skills, particularly with conveying quantitative analyses in a clear and effective way at the executive level via data visualization
Responsibilities
- Delivery of Actionable Insights: Partner closely with Data Scientists on the team to deliver high-impact quantitative analyses to the most pressing product strategy questions. Deeply understand the GeminiApp topline product and business metrics and convert the metrics into a clear performance story to executive stakeholders
- Executive Influence: Lead with a “so what?” mindset, translating insights into action. Regularly communicate clear and actionable insights to the executive team, tailoring communication style to the audience. Influence decision makers to pivot when the data tells us to, facilitating negotiation to drive alignment if necessary. Support Data Science team to ensure their work is delivered to leadership in a clear and actionable way
- Strategic Thought Leadership: Utilize your distinct vantage point to understand current GeminiApp strategy and shape it moving forward. Help identify areas of product market fit for GeminiApp, supplementing quantitative analysis with qualitative insight on the competitive landscape and industry trends to make strategic recommendations
- Operational Excellence: Collaborate across functions to move priority projects forward and maintain momentum. Support the operational rhythm of the team, including maintaining and prioritizing an analytical agenda, keeping track of AIs, and triaging insights requests for the team
Skills
Product Strategy
Operations
Data Analysis
Quantitative Analysis
Metrics
Executive Communication
Data Science Collaboration
Strategic Insights
Product Metrics
Competitor Analysis
DeepMind
Develops artificial general intelligence systems
About DeepMind
This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.
London, United KingdomHeadquarters
2010Year Founded
$4.9MTotal Funding
ACQUISITIONCompany Stage
AI & Machine Learning, BiotechnologyIndustries
1,001-5,000Employees
Benefits
Performance Bonus
Risks
Emerging AI models may challenge DeepMind's current strategies.
Backlash against AI models like Gemini poses reputational risks.
Labeling AI-generated content could increase operational complexity for DeepMind.
Differentiation
DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
DeepMind's AlphaFold model advances protein folding research significantly.
GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.
Upsides
AI-driven drug discovery is set to grow significantly in 2024.
AlphaCode 2 showcases AI's potential in competitive programming.
DeepMind's AI tools are transforming music creation and meteorology.
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