Manager, Operational Analytics

Role Overview

• Lead, mentor, and grow a team of three analysts, building a culture of accountability, continuous learning, and analytical excellence
• Partner with functional leaders to roadmap analytical needs
• Set analytical strategy and own cross-functional prioritization across operational domains
• Partner with the VP of Analytics to develop and execute the operational analytics roadmap in alignment with business priorities
• Serve as a player-coach: establish frameworks and standards while contributing hands-on analytical work when it matters
• Champion the adoption of AI and emerging analytics tools including coding assistants and LLM-based workflows to accelerate the team's analytical output and continuously raise the bar on what the function can deliver
• Lead the end-to-end delivery of partner-facing reporting, performance dashboards, and external-facing analytics that support renewal, retention, and new business conversation
• Own delivery monitoring and cross-functional work with implementation and fulfillment teams to keep operational analytics accurate and actionable
• Define and evolve customer health scoring frameworks, engagement-to-renewal models, and account insights tools that give client-facing leadership defensible, data-backed signals on account health and churn risk
• Track onboarding health, time-to-value benchmarks, and product adoption metrics to drive partner success across product lines
• Serve as the bridge between business stakeholders and Data Engineering, defining measurement requirements, diagnosing data problems, and ensuring a reliable, self-service metrics layer across the organization
• Play a lead role in the design and adoption of a company-wide self-serve metrics layer, partnering closely with Data Engineering to ensure business logic is well-defined, governed, and accessible across the organization
• Regularly report operational analytics performance to senior leadership with clear insights and recommendations, and continuously refine measurement frameworks across the teams you support

Requirements

• Bachelor's degree in Business Administration, Data Science, Statistics, Economics, or a related field. A Master's degree is a plus
• 5+ years of experience in business analysis, data analytics, or a closely related data function
• 2+ years of experience managing or leading analysts, with a demonstrated track record of developing high-performing teams
• Proven ability to translate complex analytical findings into clear, actionable insights for non-technical stakeholders
• Demonstrated experience building or owning self-service analytics frameworks that empower business users
• Experience working in a fast-paced, cross-functional environment with shifting priorities
• Resilience and a strong ability to deal with ambiguity and change
• Senior proficiency in SQL; comfortable writing, reviewing, and troubleshooting complex queries independently
• Strong proficiency in data visualization platforms such as Tableau, Looker, Snowflake, or similar tools
• Strong project management skills with the ability to manage multiple workstreams simultaneously
• Excellent communication and presentation skills, with the ability to convey complex data to diverse audiences
• Hands-on experience using AI-assisted development tools (e.g., Claude Code) to accelerate analytical workflows; a track record of helping teams integrate these tools into day-to-day practice
• A genuine practitioner of AI-assisted analytics. Comfortable using tools like Claude Code in your own work and proven in your ability to bring a team along with you. We're looking for someone who sees AI fluency as a core part of what it means to be a high-performing analytics team in 2025, not a nice-to-have
• Data-driven decision-making mindset with rigorous attention to data quality and accuracy
• Experience with dbt, Python, Snowflake, or Hex is nice to have
• Experience building customer health scoring or retention analytics frameworks is nice to have
• Background in SaaS, education technology, marketplace, or B2B analytics environments is nice to have
• Experience in the education sector or working with schools and colleges is nice to have.

Tech Stack

• Python
• SQL
• Tableau

Benefits

• Best-in-class 100% paid employee health plan, including vision and dental and supplemental coverage
• Flexible Paid Time Off Policy
• Stipend that allows you to build your work from home office in a style and function that suits your personal preferences
• Parental leave for all employees (12 weeks fully paid) in addition to short term disability for birthing parents
• Meaningful 401(k) with employer match
• Your ideas and work will make an immediate impact on our company and millions of users
• You will join a team that cares about you, our mission, our work
• and celebrates our wins together!