Senior Analyst, Performance Analytics

Risepoint is an education technology company that provides world-class support and trusted expertise to more than 100 universities and colleges. We primarily work with regional universities, helping them develop and grow their high-ROI, workforce-focused online degree programs in critical areas such as nursing, teaching, business, and public service. Risepoint is dedicated to increasing access to affordable education so that more students, especially working adults, can improve their careers and meet employer and community needs.The Impact You Will MakeThe Senior Analyst, Performance Analytics serves as the technical pillar of the team, supporting Risepoint's most critical planning processes while bringing the analytical depth to help the team understand performance and anticipate what comes next. This person keeps the data layer reliable, the planning cycles running, and the analytical work sharp enough to drive real decisions.What You Will DoHow You Will Bring Our Mission to LifePlanning & Model SupportMaintain and update forecasting and budget models across all planning cycles, including data pulls, formula logic, and version controlPrepare and validate data feeding into planning tools (currently Planful), ensuring inputs are clean and aligned with assumptions set by the Senior ManagerSupport the rolling forecast by refreshing data, updating model inputs, and flagging performance trend changes that may affect forward-looking projectionsRun scenario and sensitivity analyses to support leadership planning discussionsManage logistics of Budget, Reforecast, and rolling forecast cycles including templates, trackers, and timelinesAnalytical Thinking & InvestigationSupport and lead ad hoc deep dives and investigations across the team, pulling and structuring data independently and contributing a point of view on what the findings meanProactively identify trends and patterns in historical and current data that may signal future risks or opportunities, bringing hypotheses and recommendations to the Senior ManagerConnect past and present performance to planning assumptions, helping the team anticipate consequences before they show up in resultsBuild analytical outputs including charts, tables, summaries, and first-draft narratives that the Senior Manager refines and communicates to leadershipTranslate complex data into clear, concise narratives that stakeholders can understand and act onData & Technical WorkQuery, transform, and validate large datasets in Databricks using strong, production-quality SQLOwn the data layer supporting planning and analytical work, ensuring inputs are reliable, well-documented, and ready for useFlag data quality issues proactively and work cross-functionally to resolve them before they affect outputsUse AI tools actively to automate repetitive work, accelerate analysis, and improve how the team operatesMaintain documentation of data definitions, model logic, and process steps so the team always has a reliable source of truthProcess & Stakeholder CollaborationManage logistics of Budget, Reforecast, and rolling forecast cyclesMaintain documentation of data definitions, model logic, and process stepsWhat Success Looks LikeDelivered accurate, reliable planning inputs across at least one full Budget or Reforecast cycleIndependently led or meaningfully contributed to at least one ad hoc investigation with clear findings and a well-communicated narrativeProactively surfaced at least one forward-looking insight that informed a planning assumption or business decision before it became visible in resultsEstablished a reputation as the team's go-to for data questions, trusted for both technical accuracy and analytical judgmentAdopted AI tools as a genuine and measurable part of daily workBuilt trusted working relationships with Finance teamHow Impact Will Be MeasuredAccuracy and timeliness of data inputs across planning cyclesQuality and depth of analytical outputs supporting the teamProactive identification of trends and risks before they surface in resultsAdoption and impact of AI and automation in daily workflowWhat You'll Bring To The TeamExperience that Matters Most:A minimum of 2 to 4 years in business analytics, revenue planning, FP&A, or a related field with a genuine interest in understanding what the data means, not just how to move itStrong analytical thinking with the ability to connect historical trends to future implications and bring proactive recommendations to the teamStrong, production-quality SQL proficiency and solid hands-on experience with Databricks, with the autonomy and technical confidence to work independentlyAdvanced Excel skills across complex models, scenario analysis, and large datasetsClear communication skills with the ability to translate findings into plain language and produce outputs that are ready to use, not just reviewedActive AI tools user, or someone clearly ready and hungry to become oneHigh attention to detail, strong data ownership, and a proactive working style that anticipates problems rather than waiting to be told what to look forExperience That's Great To HaveFamiliarity with Planful, Anaplan, or similar planning platformsExperience with Power BI or similar visualization toolsPython or PySpark for data manipulation or automationExposure to enrollment-driven or EdTech business modelsRisepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.