Note: The job is a remote job and is open to candidates in USA. Risepoint is an education technology company that helps universities grow online programs. The Analytics Solutions Manager connects and analyzes data across marketing, enrollment, and student outcomes, building trusted data products, reporting, and AI-enabled analytics to guide decisions across COO functions.
Responsibilities
- Connect and serve up the data from consideration to enrolled student. Bring together data from first consideration and ad spend (platform performance, spend, CPL, CPA) through lead, application, enrollment, LTV, and ROAS, and deliver it in consistent, trusted, ready-to-use form for Channel Marketing, Integrated Marketing, Student Success, and Strategy. Apply and help refine attribution approaches and shared KPI definitions that keep every team working from one version of the truth
- Build the data foundation. Design and optimize scalable data models, pipelines, and transformations in Databricks (Delta Lake, PySpark, SQL), in alignment with established data standards and governance practices, and ensure readiness for self-service and AI consumption
- Craft reporting people actually use. Develop and maintain Power BI dashboards and semantic models (advanced DAX) supporting multiple COO functions, balancing architecture and governance with intuitive design and storytelling that drives adoption from analysts to executives
- Pioneer AI-powered analytics. Help lead our step-change in how reporting and analysis are delivered: automated insight generation, conversational and self-serve analytics, and intelligent workflows that reduce manual effort and put answers in stakeholders’ hands faster
- Turn analysis into action. Deliver funnel, cohort, channel, conversion, and retention diagnostics, LTV/ROAS analysis, and forecast support, and contribute to Marketing Mix Modeling, geo-experiments, and lift tests that guide budget allocation, student success priorities, and strategy
- Be the partner stakeholders trust. Manage assigned analytics initiatives end to end and coordinate competing requests end to end across Channel Marketing, Integrated Marketing, Student Success, and Strategy, with a high-service mindset and a bias toward speed. Present findings and recommendations to business and senior leaders to support decision-making
- Protect the integrity of the data. Identify and resolve data-quality issues, partnering with appropriate teams on broader issues across marketing, student, and analytics sources, including support for web analytics tagging validation and event data quality, so every number leaders see can be trusted
Skills
- Full-funnel marketing analytics: experience connecting paid media and channel platform performance (Google Ads, Meta, LinkedIn, etc.) to enrollment, LTV, and ROAS, including multi-touch attribution, with demonstrated influence on investment decisions
- Advanced SQL (CTEs, window functions, query optimization, large-scale transformation) and strong Databricks experience (Delta Lake, PySpark, notebooks, workflows)
- Power BI expertise: semantic modeling, advanced DAX, dashboard UX/storytelling, and governance of reporting serving multiple business functions
- Marketing Mix Modeling, media mix simulation, or geo-experiments/lift tests to validate channel effectiveness and inform budget allocation
- Working knowledge of web analytics (Adobe Analytics, GA4) sufficient to validate tagging and event data quality
- Executive communication and data storytelling, with a record of influencing senior leaders, driving cross-functional alignment, and delivering excellent service to internal customers
- Comfort with ambiguity and pace: able to set direction, prioritize, and deliver in undefined problem spaces with competing demands
- Hands-on AI analytics: LLM-enabled reporting, automated insight generation, or natural-language data experiences (e.g., Databricks Genie or similar)
- LTV modeling or long-term value analysis (cohort retention, graduation value), plus forecasting
- Python, statistical modeling, or experimentation / growth analytics
- Analytics engineering or modern data architecture background; exposure to data clean rooms or audience data-sharing measurement (e.g., LiveRamp, The Trade Desk)
- Experience in high-growth, fast-paced environments balancing multiple stakeholders and initiatives
Benefits
- Remote work (United States)
Company Overview
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