Strategic Insights Analyst, K Health

• 4-6 years of experience in analytics, strategy, consulting, business operations, or a related field, with demonstrated experience leveraging AI tools for productivity gains
• AI First Mindset—proven track record of identifying and implementing AI-powered solutions to enhance analytical workflows and business processes
• Strong SQL proficiency—ability to write complex queries and manipulate large datasets, with experience using AI tools to enhance SQL workflow efficiency
• Solid Python knowledge (e.g., pandas, NumPy, scikit-learn) with experience using Python in conjunction with AI agents and automation tools
• Experience with AI-powered analysis tools—familiarity with command line AI agents, LLM-based coding assistants, and automated analysis pipelines
• Solid foundation in statistics and data science concepts (e.g., hypothesis testing, regressions, forecasting) with understanding of how AI can augment these techniques
• Highly analytical and metrics-driven, with the ability to define KPIs, size opportunities, and measure business performance using both traditional and AI-enhanced methods
• Strong strategic problem solver—able to break down ambiguous problems and apply a first-principles approach while leveraging AI for faster iteration
• Excellent communication skills—able to translate data into compelling, actionable insights, using AI tools to enhance visualization and storytelling
• Scrappy and resourceful—you find a way to get things done, often by creatively applying AI tools to multiply your impact
• Fast learner—you can quickly grasp new concepts, tools, AI technologies, and business models

Desirable

• As the Director of Data Science - Creator at Roblox, you will lead Data Science in 3 areas of the Creator Data Science organization at Roblox
• The team covers several product areas and teams: from Creator Success (including the Creator Hub, Creator Analytics, Creator Events, and more), Creator Services (including Translation), and Creator Ecosystem (including developer relations)
• The team comprises a wide mix of skillsets, from product analytics, to causal inference experts, to ML engineers
• A key focus of this role is also the integration of advanced technologies, including Large Language Models (LLM) and Generative AI, into our Creator Hub environment to empower creators
• You will play a pivotal role in enabling creators to build, innovate, and succeed more efficiently
• This role requires deep expertise in advanced analytics, causal inference, machine learning, and AI applications
• You will use these capabilities to shape how creators interact with the platform and elevate creator success
• By partnering closely with cross-functional teams, you will accelerate product development and enhance the creator experience, ensuring data and AI solutions are at the heart of our strategy
• This is a unique opportunity to lead data strategies and AI innovations that will directly impact the creator experience, and contribute to the continued growth and innovation of the Roblox ecosystem
• If you are a leader who thrives at the intersection of technology, data science, and creative empowerment, we encourage your application!
• Apply analytical rigor and AI-powered tools to strategic business problems, uncovering actionable insights that drive key company metrics through both traditional analysis and AI augmentation
• Enable self-serve analytics and empower stakeholders to access data to facilitate data-driven decision making at scale
• Partner cross-functionally with Clinical Operations, Marketing, Product and Finance teams to identify opportunities, develop hypotheses, and execute in-depth analyses using both traditional and AI-enhanced methods
• Develop and own key performance metrics, leveraging AI tools to automate monitoring, anomaly detection, and insight generation
• Leverage SQL and Python through AI agents to analyze large datasets more efficiently, build data models, and create self-updating dashboards that help scale decision-making
• Use statistics, data science techniques, and AI tools (e.g., regression analysis, forecasting, clustering, LLM-powered analysis) to drive better predictions and recommendations
• Build and deploy AI-powered analysis workflows using command line agents that can execute complex SQL queries, perform Python-based analysis, and generate insights autonomously
• Communicate insights effectively, using AI tools to help transform complex data into crisp, actionable recommendations for leadership and stakeholders
• Develop scalable operational processes that leverage our data assets in creative ways using data-driven techniques, large language models, automated pipelines, and AI agents