Strategic Insights AnalystNew

About the Role

Key Responsibilities

• Apply analytical rigor and AI-powered tools to solve strategic business problems, uncovering actionable insights that influence key company metrics through traditional analysis and AI augmentation.
• Enable self-serve analytics and empower stakeholders to access data for 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, build data models, and create self-updating dashboards to scale decision-making.
• Use statistics, data science techniques, and AI tools (e.g., regression analysis, forecasting, clustering, LLM-powered analysis) to improve predictions and recommendations.
• Build and deploy AI-powered analysis workflows using command line agents that execute complex SQL queries, perform Python-based analysis, and generate insights autonomously.
• Communicate insights effectively, transforming complex data into clear, actionable recommendations for leadership and stakeholders.
• Develop scalable operational processes that utilize data assets creatively through data-driven techniques, large language models, automated pipelines, and AI agents.

Requirements

• 1-3 years of experience in analytics, strategy, consulting, business operations, or related fields, with demonstrated experience leveraging AI tools for productivity gains.
• AI First Mindset—proven track record of identifying and implementing AI-powered solutions to enhance workflows and processes.
• Strong SQL proficiency—ability to write complex queries and manipulate large datasets, with experience using AI tools to improve SQL workflows.
• Solid Python knowledge (e.g., pandas, NumPy, scikit-learn) with experience integrating Python 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.
• Strong foundation in statistics and data science concepts (e.g., hypothesis testing, regressions, forecasting) and understanding of AI augmentation.
• Highly analytical and metrics-driven, capable of defining KPIs, sizing opportunities, and measuring performance using traditional and AI-enhanced methods.
• Strong strategic problem-solving skills—able to break down ambiguous problems and leverage AI for faster iteration.
• Excellent communication skills—able to translate data into compelling insights, utilizing AI tools for visualization and storytelling.
• Scrappy and resourceful—able to creatively apply AI tools to maximize impact.
• Fast learner—quickly grasps new concepts, tools, AI technologies, and business models.

Nice to Have

• Experience with BI tools (e.g., Looker, Tableau, Mode) and their AI-enhanced features
• Familiarity with machine learning concepts and MLOps
• Experience with prompt engineering and LLM optimization
• Exposure to A/B testing methodologies and automated experimentation platforms
• Experience building or deploying AI agents for business analysis
• Knowledge of AI workflow automation tools (e.g., Langchain, AutoGPT or similar)

Qualifications

• Experience in analytics, strategy, consulting, or business operations (1-3 years)

Benefits & Perks

• Hybrid work schedule with weekly lunches and stocked fridges
• 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days
• Stock options for every full-time employee
• Paid parental leave
• 401k benefit
• Commuter Benefits
• Competitive health, dental, and vision insurance options