Senior Analyst, Performance Analytics

Risepoint

Senior Analyst supporting performance analytics for Risepoint, enhancing strategic educational planning and decision-making. Collaborating with teams to translate data insights into actionable strategies.

Posted 7/23/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical skills with proficiency in SQL and Databricks, capable of translating complex data into actionable insights. Experienced in managing forecasting and budgeting processes while utilizing AI tools to enhance efficiency and accuracy.

Highest-signal resume keywords

SQL ProficiencyDatabricks ExperienceAdvanced Excel SkillsBusiness Analytics ExpertiseClear Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalysisForecasting ModelsBudget ManagementScenario AnalysisData ValidationData TransformationAnalytical OutputsTrend IdentificationModel Logic

Soft Skills

Analytical ThinkingAttention to DetailProactive Working StyleClear CommunicationProblem Anticipation

Tools & Technologies

PlanfulDatabricksAI ToolsExcel

Industry Keywords

Business AnalyticsRevenue PlanningFP&ARolling ForecastData Ownership

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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
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
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
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

Requirements

What you’ll need

A minimum of 2 to 4 years in business analytics, revenue planning, FP&A, or a related field
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

Benefits

Comp & perks

Health insurance
Professional development opportunities