Analytics Solutions Manager

Risepoint

1d

About The Position

Risepoint is hiring an Analytics Solutions Manager to build and deliver the data, insights, reporting, and AI analysis that support its COO organization. The role serves Channel Marketing, Integrated Marketing, Student Success, and Strategy, connecting data from initial consideration and advertising spend through enrollment and student outcomes. The manager will turn analysis into actionable findings and help advance reporting and analytics through AI in a fast-paced environment where service, speed, and accuracy are important.

The role includes designing and optimizing data models, pipelines, and transformations in Databricks; developing Power BI dashboards and semantic models; refining attribution approaches and shared KPI definitions; and providing funnel, cohort, channel, conversion, retention, LTV, ROAS, and forecast analyses. The manager will also support Marketing Mix Modeling, geo-experiments, and lift tests, manage analytics initiatives and competing stakeholder requests, present recommendations to business and senior leaders, and help resolve data-quality issues, including web analytics tagging and event data quality.

Success is defined by a connected and trusted consideration-to-enrollment data foundation, widely adopted dashboards and measurement frameworks that guide decisions, and progress toward automated pipelines, self-service BI, and AI-enabled analytics that reduce manual reporting and accelerate decisions. Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.

Requirements

• Experience connecting paid media and channel platform performance, such as Google Ads, Meta, and LinkedIn, to enrollment, LTV, and ROAS, including multi-touch attribution and demonstrated influence on investment decisions.
• Advanced SQL skills, including CTEs, window functions, query optimization, and large-scale transformation.
• Strong Databricks experience, including Delta Lake, PySpark, notebooks, and workflows.
• Power BI expertise, including semantic modeling, advanced DAX, dashboard user experience and storytelling, and reporting governance across multiple business functions.
• Experience with Marketing Mix Modeling, media mix simulation, or geo-experiments/lift tests to validate channel effectiveness and inform budget allocation.
• Working knowledge of Adobe Analytics or GA4 sufficient to validate tagging and event data quality.
• Executive communication and data storytelling skills, with a record of influencing senior leaders, driving cross-functional alignment, and providing excellent service to internal customers.
• Ability to work with ambiguity and pace, set direction, prioritize, and deliver in undefined problem spaces with competing demands.
• Technical depth and business acumen, including the ability to architect data pipelines and explain their implications to executives.

Nice To Haves

• Hands-on AI analytics experience, such as LLM-enabled reporting, automated insight generation, or natural-language data experiences (for example, Databricks Genie or similar).
• LTV modeling or long-term value analysis, including cohort retention or graduation value, and forecasting.
• Python, statistical modeling, or experimentation/growth analytics experience.
• Analytics engineering or modern data architecture background.
• Exposure to data clean rooms or audience data-sharing measurement, such as LiveRamp or The Trade Desk.
• Experience in high-growth, fast-paced environments balancing multiple stakeholders and initiatives.

Responsibilities

• Connect and deliver data spanning advertising spend and platform performance through leads, applications, enrollment, LTV, and ROAS for Channel Marketing, Integrated Marketing, Student Success, and Strategy.
• Apply and refine attribution approaches and shared KPI definitions so teams work from consistent measures.
• Design and optimize scalable data models, pipelines, and transformations in Databricks in alignment with data standards and governance practices, and prepare data for self-service and AI use.
• Develop and maintain Power BI dashboards and semantic models using advanced DAX, balancing governance and architecture with intuitive design and storytelling.
• Help develop AI-powered analytics, including automated insight generation, conversational and self-service analytics, and intelligent workflows.
• Deliver funnel, cohort, channel, conversion, and retention diagnostics; LTV and ROAS analysis; and forecast support.
• Contribute to Marketing Mix Modeling, geo-experiments, and lift tests to inform budget allocation, student success priorities, and strategy.
• Manage assigned analytics initiatives and coordinate competing requests across Channel Marketing, Integrated Marketing, Student Success, and Strategy.
• Present findings and recommendations to business and senior leaders to support decision-making.
• Identify and resolve data-quality issues in partnership with appropriate teams, including supporting web analytics tagging validation and event data quality.
• Help establish trusted, accessible data and analytics products and reduce manual reporting through automation and self-service.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed