Marketing & Operations Analytics Manager

Risepoint is an education technology company that helps regional universities launch and grow online programs for modern learners. The Marketing & Operations Analytics Manager will lead cross-functional analytical initiatives, manage full-funnel partner performance data, build analytical infrastructure, ensure data quality, and translate insights into strategic recommendations while developing the analytics team.

Responsibilities:

• Cross-Functional Initiative Leadership: Drive and coordinate multi-stakeholder analytical initiatives across departmental boundaries, serving as a thought partner and initiative lead for Integrated Marketing, Channel Marketing, Partner Management Team, and other operations teams; own workstreams end-to-end from problem framing through insight delivery with minimal direction
• Strategic Data-Driven Analysis: Handle highly detailed and complex partner performance data across the full enrollment funnel, from lead generation through yield, and facilitate internal stakeholder conversations that build strategies supporting long-term partner growth
• Data Quality and Diagnostic Rigor: Proactively surface errors, discontinuities, and reconciliation gaps in partner data before they reach stakeholders, approaching each inconsistency as a signal worth tracing to its source rather than an edge case to dismiss
• Analytical Infrastructure: Build and maintain the analytical pipelines and reporting workflows that underpin partner performance monitoring, collaborating with BI and data engineering teams to ensure data access, consistency, and appropriate governance
• AI-Assisted Productivity: Contribute to Risepoint's AI-first analytical practices by incorporating tools like Claude and Databricks Genie into day-to-day workflows to accelerate analysis and communication; AI is a productivity tool here, not a replacement for analytical judgment, and the expectation is full ownership of and accountability for the work product
• Strategic Project Execution: Take a leading role in the end-to-end strategic initiative design, management, execution, and impact assessment, leveraging analytical rigor and strong stakeholder management skills, including effective engagement with senior leadership. Proactively identify opportunities for performance improvement through data lens and translate insights into actionable initiatives to earn buy-ins from stakeholders
• Performance Measurement: Establish and monitor key performance indicators to track the effectiveness of partner programs and analytical initiatives; surface actionable opportunities from performance data and translate them into recommendations leadership can act on
• Stakeholder Engagement: Communicate findings and insights to diverse stakeholders, including executives, department heads, and operational teams, through compelling presentations, structured briefings, and data visualizations that connect technical analysis to strategic
• People Management: Build a strong team with other team members some are expected to report to the Manager eventually by coaching, instructing, and drive projects as a team

Requirements:

• • 5+ years' experience in an analytical or strategy leadership role (strategy, business analytics, business operations, corporate finance, business transformation) and/or in a professional services organization (consulting, private equity, investment banking)
• • Strong proficiency in Databricks and advanced SQL, including CTE structuring, query performance optimization, and fundamental window functions, with foundational knowledge of data governance and data engineering principles
• • Familiarity with AI productivity tools like Claude and Databricks Genie, prompt engineering, and natural language query interfaces
• • Advanced Excel skills, including Power Query M for data transformation workflows and DAX for calculated measures
• • Working experience with business intelligence and data visualization platforms such as Power BI or Tableau
• • Demonstrated ability to conceive and execute quantitative analysis and deliver data-driven insights with  strong analytical and problem-solving skills
• • Bachelor's degree with proven record of achievement and quantitative proficiency
• • Proven track record in using Databricks, SQL, AI tools and data analysis to clean data, extract insights, and communicate takeaways to leadership in a professional setting
• • Agile workstyle to meet evolving business needs in a dynamic and fast-paced work environment that
• • Master's degree or equivalent experience in data analytics, business intelligence, or data science is a plus