Senior Analytics Solutions Analyst

Risepoint

2d

About The Position

Risepoint is an education technology company supporting regional universities as they launch and grow online programs. The Senior Analytics Solutions Analyst connects paid media investment to business outcomes by translating platform performance into full-funnel results, from leads and applications through enrollment and ultimately student lifetime value (LTV) and return on ad spend (ROAS). The role primarily supports paid media measurement and analytics, with secondary support for web analytics infrastructure, helping Paid Media, Channel, Strategy, and Executive Leadership make informed investment decisions.

The analyst partners with cross-functional teams to develop attribution and measurement frameworks, build scalable data models and pipelines, and create Power BI dashboards and reporting. The position also supports Marketing Mix Modeling initiatives, advanced performance analysis, data quality and governance, workflow automation, and the communication of actionable insights and recommendations to senior stakeholders.

Requirements

• Strong experience with Paid Media measurement, including multi-touch attribution and cross-platform campaign performance analysis, such as Google Ads, Meta, and LinkedIn.
• Experience with Marketing Mix Modeling (MMM), media mix simulation, or geo-experiments/lift tests to validate channel effectiveness.
• Advanced proficiency in SQL, including CTEs, window functions, query optimization, and large-scale data transformation.
• Strong hands-on experience with Power BI, including semantic modeling, advanced DAX, and dashboard UX/storytelling.
• Strong experience with Databricks, including Delta Lake, PySpark, notebooks, and workflows.
• Working knowledge of web analytics platforms such as Adobe Analytics or GA4 sufficient to support tagging validation and data quality for paid media measurement.
• Strong executive communication and data storytelling skills.
• Ability to independently navigate ambiguity and lead through undefined problem spaces.

Nice To Haves

• Experience with LTV modeling or long-term value analysis, such as cohort-based retention or graduation value.
• Experience with Python, statistical modeling, or advanced analytics workflows.
• Exposure to AI-enabled analytics, automated insight generation, or intelligent reporting frameworks.
• Experience in product analytics, experimentation, or growth analytics.
• Background in analytics engineering or modern data architecture.
• Experience with data clean rooms or audience data-sharing measurement, such as LiveRamp, Trade Desk, or retail/media networks.
• Experience working in high-growth, fast-paced environments.

Responsibilities

• Partner with Paid Media and Channel teams to build attribution and measurement frameworks linking advertising platform data to enrollment and revenue outcomes.
• Develop and maintain ROAS and LTV analyses connecting paid media spend to long-term student value and program profitability, incorporating retention and graduation signals where available.
• Independently deliver complex analytics initiatives across performance, marketing, channel media, and solutions domains.
• Design, build, and optimize scalable data models, pipelines, and transformation workflows using Databricks.
• Design, develop, and enhance Power BI dashboards and reporting experiences, including semantic modeling and advanced DAX.
• Support web analytics tagging validation and event data quality to provide reliable inputs for paid media measurement.
• Support Marketing Mix Modeling initiatives, including channel spend optimization, geo-experiments or lift tests, and budget allocation recommendations.
• Conduct performance analysis covering funnels, cohorts, channels, ROAS, LTV, conversion diagnostics, and forecast support.
• Translate complex datasets into actionable business insights and strategic recommendations.
• Partner with cross-functional teams to develop and apply KPIs, performance frameworks, and measurement methodologies.
• Improve data quality, consistency, governance, and reporting reliability across paid media and analytics data sources.
• Automate workflows and improve process efficiency to reduce manual reporting dependencies.
• Present findings, trends, and strategic recommendations to Director, VP, and Executive stakeholders.

What This Job Offers

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