Senior Analytics Solutions Analyst

Risepoint is an education technology company that helps regional universities launch and grow online programs for modern learners. Risepoint supports more than 100 universities and colleges across five countries, with programs concentrated in high-demand fields including nursing, healthcare, teaching, business, technology, and public service. Our suite of products and services supports the full student journey and each university’s long-term goals. Together, we increase access to affordable education that delivers a strong return on investment for learners and meets employer and community needs. Learn more at risepoint.com.The Impact You Will MakeThis role is the connective tissue between Paid Media investment and business outcomes — translating platform-level performance (spend, CPL, CPA) into full-funnel results, from lead and application through enrollment, and ultimately into student LTV and ROAS. With secondary support for web analytics infrastructure, this person gives Paid Media, Channel, Strategy, and Executive Leadership the confidence to make faster, better-informed investment decisions.How You Will Bring Our Mission to LifeWhat You Will DoAnalyze and connect Paid Media platform performance (spend, CPL, CPC, CPA) with full-funnel outcomes — from lead and application through enrollment — down to student LTV and ROASPartner closely with Paid Media and Channel teams to build attribution and measurement frameworks that link ad platform data to downstream enrollment and revenue outcomesDevelop and maintain ROAS and LTV analyses that connect paid media spend to long-term student value and program-level profitability, incorporating retention and graduation signal where availableIndependently deliver complex analytics initiatives across performance, marketing, channel media, and solutions domainsDesign, build, and optimize scalable data models, pipelines, and transformation workflows using DatabricksDesign, develop, and enhance Power BI dashboards and reporting experiences, including semantic modeling and advanced DAXSupport web analytics tagging validation and event data quality as a secondary function, ensuring clean inputs for paid media measurementSupport and contribute to Marketing Mix Modeling (MMM) initiatives, including channel spend optimization, geo-experiments/lift tests, and budget allocation recommendationsConduct advanced performance analysis, including funnel, cohort, channel, ROAS, LTV, conversion diagnostics, and forecast supportTranslate complex datasets into clear, actionable business insights and strategic recommendationsPartner with cross-functional teams to develop and apply KPIs, performance frameworks, and measurement methodologiesImprove data quality, consistency, governance, and reporting reliability across paid media and analytics data sourcesDrive workflow automation and process efficiency, reducing manual reporting dependenciesPresent findings, trends, and strategic recommendations to Director, VP, and Executive stakeholdersWhat Success Looks LikePaid Media performance is consistently connected to full-funnel outcomes — from platform spend to enrollment, LTV, and ROASAnalytics Solutions’ dashboards and insights directly inform Paid Media, Channel, and Executive investment decisionsManual reporting is reduced through automated, scalable pipelines and self-service BIHow Impact Will be MeasuredAccuracy and consistency of the paid media-to-enrollment-to-LTV/ROAS measurement chainAdoption of BI dashboards and analytics products by Paid Media, Channel, and Executive stakeholdersReduction in manual reporting time and improvement in forecast accuracyWhat You’ll Bring to the TeamYou bring a rare mix of technical depth and business acumen — equally comfortable architecting a data pipeline and briefing an executive on what it means for the business.Experience That Matters MostExperience connecting paid media platform performance (spend, CPL, CPA) to full-funnel business outcomes, including enrollment, LTV, and ROASStrong experience with Paid Media measurement, including multi-touch attribution and campaign performance analysis across platforms (Google Ads, Meta, LinkedIn, etc.)Experience with Marketing Mix Modeling (MMM), media mix simulation, or geo-experiments/lift tests to validate channel effectivenessAdvanced proficiency in SQL (CTEs, window functions, query optimization, large-scale data transformation)Strong hands-on experience with Power BI (semantic modeling, advanced DAX, dashboard UX/storytelling)Strong experience with Databricks (Delta Lake, PySpark, notebooks, workflows)Working knowledge of web analytics platforms (e.g., Adobe Analytics, GA4) sufficient to support tagging validation and data quality for paid media measurementStrong executive communication and data storytelling skillsAbility to independently navigate ambiguity and lead through undefined problem spacesExperience That’s Great to HaveExperience with LTV modeling or long-term value analysis (e.g., cohort-based retention or graduation value)Experience with Python, statistical modeling, or advanced analytics workflowsExposure to AI-enabled analytics, automated insight generation, or intelligent reporting frameworksExperience in product analytics, experimentation, or growth analyticsBackground in analytics engineering or modern data architectureExperience with data clean rooms or audience data-sharing measurement (e.g., LiveRamp, Trade Desk, retail/media networks)Experience working in high-growth, fast-paced environmentsRisepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.Originally posted on Himalayas