Strategic Analytics Principal

• As the Strategic Analytics Principal, you will be a hands-on member of the Data & Analytics team within the CFO organization
• Your primary mission is to deliver strategic insights and drive data analytics solutions, turning business questions and opportunities into data-driven recommendations and tools that leadership can trust and act on
• You will spend most of your time in the data — querying, modeling, analyzing, and building — and you will actively leverage AI tools to drive greater business value and unlock innovation
• Analytics and Insights Delivery: Serve as a go-to analyst for stakeholders across Finance on analytics projects. You will lead and execute high-impact deep dives into complex topics like revenue leakage, product profitability, and margin optimization
• Abstract Problem Solving: You are the person the business calls when they don’t know where to start. You will structure the problem, identify the levers, and define the success criteria
• Hands-on Investigation: You are the “Lead Detective” for Finance. When a KPI fluctuates, you run deep-dive discovery, identifying root causes across sales, product, usage, and financial data
• Data Storytelling: You build and present a clear data story and strategic narrative. You will synthesize complex analytical findings into crisp, high-impact decks that lead with the “So What” and end with a clear call to action
• AI-Assisted Delivery: Leverage AI tools — copilots, skills and plugins, LLM-assisted SQL and analysis, and workflow automation — to accelerate delivery, cut manual effort, and prototype new analytical approaches
• KPI Architecture: Define, standardize, and govern the core metrics for the Finance organization. You will ensure “metric consistency” across the company, eliminating drift between different departments
• Data Logic & Governance: Own the logic layer. You will ensure the calculations and definitions connecting raw data to models, reports and solutions are sound and consistent
• Product Ownership: Own data products and solutions — data & BI tools, analytics agents, decision engines — across their lifecycle in close partnership with data and analytics engineers, platform architects, and technology teams

Benefits

• Culture and benefits built around work-life balance
• Extensive resources to support physical and mental health
• Employee assistance program
• Generous retirement plans
• Incentives for referring new colleagues
• Learning, training and mentoring programs
• Cross-functional projects
• Stretch assignments to help you progress
• Receive feedback and earn bonuses from peers & managers
• Employee bonding activities
• ESG and charitable team initiatives

Preferred experience

• This is a role for an expert generalist, someone with the analytical depth to master any problem and the range to own the outputs, actions, and tools that come out of the work
• PowerPoint: Proficient in creating impactful presentations, including advanced PowerPoint features and storytelling techniques
• Analytical Frameworks and Statistical Techniques: Extensive expertise in developing and applying advanced analytics to interpret complex data, uncover trends, and generate actionable insights that inform strategic decision-making
• AI & GenAI Tools: Advanced, hands-on experience using AI tools (e.g., Claude, Codex, Cortex, Copilot, etc.) to improve speed, quality, automation, and innovation
• Advanced Excel and SQL: You have spreadsheet mastery and are an expert at data querying and modeling data based on problem/project requirements
• Executive Presence: You’re confident presenting to senior leaders — you can use data and narrative to make a clear recommendation and field pushback
• Product Thinking: You think like a product owner — balancing user needs, technical trade-offs, and business value
• Business Acumen: You understand the levers of a technology business – SaaS economics, product performance, revenue forecasting, financial analysis, etc
• Simplicity over Complexity: You have a natural ability to take a complex problem or high-density technical architecture and simplify it for executive use
• Ownership: Demonstrated ownership and entrepreneurial mindset by proactively identifying opportunities, driving initiatives end-to-end, and delivering impactful results in dynamic environments
• Bachelor’s degree or equivalent in a quantitative discipline such as engineering, mathematics, statistics, business, economics, etc
• Superior presentation and communication skills with a proven track record of delivering data stories and strategic recommendations to a leadership audience
• Technical (Required): Advanced Excel, data modeling, and statistical analysis; SQL; at least one BI/visualization tool (e.g., Power BI); and hands-on use of AI/GenAI tools (e.g., Claude, Codex) in daily work
• 5+ years of experience in data, analytics, financial planning and analysis, data products, or management consulting
• Experience building and managing complex spreadsheet-based quantitative models
• Experience building or owning data/BI/AI products and solutions
• MBA or Master’s in a quantitative discipline such as Finance, Economics, Analytics, etc. preferred
• Technical (Preferred): Python, Snowflake, dbt or semantic-layer modeling, Streamlit, Salesforce/ERP data, and experience building LLM- or agent-based tools