[Remote] Senior Analyst, Performance Analytics

Note: The job is a remote job and is open to candidates in USA. Risepoint is an education technology company that provides world-class support to universities and colleges. The Senior Analyst, Performance Analytics will support critical planning processes, maintain data reliability, and conduct analyses to inform decision-making.

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

Skills

• 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
• 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

Company Overview

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