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 Make

The 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.

How You Will Bring Our Mission to Life

What You Will Do:

• Planning & Model Support
  • Maintain and update forecasting and budget models across all planning cycles, including data pulls, formula logic, and version control
  • Prepare and validate data feeding into planning tools (currently Planful), ensuring inputs are clean and aligned with assumptions set by the Senior Manager
  • Support the rolling forecast by refreshing data, updating model inputs, and flagging performance trend changes that may affect forward-looking projections
  • Run scenario and sensitivity analyses to support leadership planning discussions
  • Manage logistics of Budget, Reforecast, and rolling forecast cycles including templates, trackers, and timelines

• Analytical Thinking & Investigation
  • Support 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 mean
  • Proactively identify trends and patterns in historical and current data that may signal future risks or opportunities, bringing hypotheses and recommendations to the Senior Manager
  • Connect past and present performance to planning assumptions, helping the team anticipate consequences before they show up in results
  • Build analytical outputs including charts, tables, summaries, and first-draft narratives that the Senior Manager refines and communicates to leadership
  • Translate complex data into clear, concise narratives that stakeholders can understand and act on

• Data & Technical Work
  • Query, transform, and validate large datasets in Databricks using strong, production-quality SQL
  • Own the data layer supporting planning and analytical work, ensuring inputs are reliable, well-documented, and ready for use
  • Flag data quality issues proactively and work cross-functionally to resolve them before they affect outputs
  • Use AI tools actively to automate repetitive work, accelerate analysis, and improve how the team operates
  • Maintain documentation of data definitions, model logic, and process steps so the team always has a reliable source of truth

• Process & Stakeholder Collaboration
  • Manage logistics of Budget, Reforecast, and rolling forecast cycles
  • Maintain documentation of data definitions, model logic, and process steps

What Success Looks Like:

• Delivered accurate, reliable planning inputs across at least one full Budget or Reforecast cycle

• Independently led or meaningfully contributed to at least one ad hoc investigation with clear findings and a well-communicated narrative

• Proactively surfaced at least one forward-looking insight that informed a planning assumption or business decision before it became visible in results

• Established a reputation as the team's go-to for data questions, trusted for both technical accuracy and analytical judgment

• Adopted AI tools as a genuine and measurable part of daily work

• Built trusted working relationships with Finance team

How Impact Will be Measured:

• Accuracy and timeliness of data inputs across planning cycles

• Quality and depth of analytical outputs supporting the team

• Proactive identification of trends and risks before they surface in results

• Adoption and impact of AI and automation in daily workflow

What You'll Bring to the Team

Experience 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 it

• Strong analytical thinking with the ability to connect historical trends to future implications and bring proactive recommendations to the team

• Strong, production-quality SQL proficiency and solid hands-on experience with Databricks, with the autonomy and technical confidence to work independently

• Advanced Excel skills across complex models, scenario analysis, and large datasets

• Clear communication skills with the ability to translate findings into plain language and produce outputs that are ready to use, not just reviewed

• Active AI tools user, or someone clearly ready and hungry to become one

• High attention to detail, strong data ownership, and a proactive working style that anticipates problems rather than waiting to be told what to look for

Experience That's Great to Have:

• Familiarity with Planful, Anaplan, or similar planning platforms

• Experience with Power BI or similar visualization tools

• Python or PySpark for data manipulation or automation

• Exposure to enrollment-driven or EdTech business models

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Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.