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Manager, Operational Analytics

Niche
FULL_TIME Remote · US US USD 116000–145000 / month Posted: 2026-05-11 Until: 2026-07-10
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Job Description
About Niche Niche is the leader in school search. Our mission is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them. We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply. Niche is all about finding where you belong, and that mission inspires how we operate every day. We want Niche to be a place where people truly enjoy working and can thrive professionally. About The Role We are looking for an experienced, analytically rigorous, and collaborative Manager of Operational Analytics to lead the team responsible for how Niche measures, understands, and improves its partner relationships and operational performance. This is a high-impact player-coach role at the center of how Niche delivers value to the schools and districts it serves. The Manager of Operational Analytics leads all analytics related to partner-facing data products, operational dashboards, prospect and enrollment analytics, and the customer health frameworks that inform retention strategy. You will manage a team of three analysts and serve as a strategic analytical partner to Sales, Client Success, Implementation Services, RevOps, Finance, and Data Engineering. This includes being embedded directly in team meetings and workflows, developing first-hand awareness of how data is being used, where gaps exist, and what's needed before it becomes a problem. The ideal candidate is a hands-on analytical leader with expertise in AI who sets strategy, drives cross-functional prioritization, and is equally comfortable doing the work. This role reports to the VP of Analytics. What You Will Do Strategic Leadership: 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 Partner Performance & Reporting: 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 What We Are Looking For Education Bachelor's degree in Business Administration, Data Science, Statistics, Economics, or a related field. A Master's degree is a plus Experience 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 Resil