Senior Analyst, Performance Analytics

Risepoint

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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
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
Manage logistics of Budget, Reforecast, and rolling forecast cycles
Maintain documentation of data definitions, model logic, and process steps