{"schemaVersion":"jobsearcher.job.v1","id":"30e66c70d573f2541de09331","url":"https://jobsearcher.com/jobs/30e66c70d573f2541de09331","canonicalUrl":"https://jobsearcher.com/jobs/30e66c70d573f2541de09331","title":"Senior Analytics Solutions Analyst","description":"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.\n\nThe Impact You Will Make\n\nThis 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.\n\nHow You Will Bring Our Mission to Life\n\nWhat You Will Do\n\nAnalyze 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 ROAS\nPartner closely with Paid Media and Channel teams to build attribution and measurement frameworks that link ad platform data to downstream enrollment and revenue outcomes\nDevelop 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 available\nIndependently deliver complex analytics initiatives across performance, marketing, channel media, and solutions domains\nDesign, build, and optimize scalable data models, pipelines, and transformation workflows using Databricks\nDesign, develop, and enhance Power BI dashboards and reporting experiences, including semantic modeling and advanced DAX\nSupport web analytics tagging validation and event data quality as a secondary function, ensuring clean inputs for paid media measurement\nSupport and contribute to Marketing Mix Modeling (MMM) initiatives, including channel spend optimization, geo-experiments/lift tests, and budget allocation recommendations\nConduct advanced performance analysis, including funnel, cohort, channel, ROAS, LTV, conversion diagnostics, and forecast support\nTranslate complex datasets into clear, actionable business insights and strategic recommendations\nPartner with cross-functional teams to develop and apply KPIs, performance frameworks, and measurement methodologies\nImprove data quality, consistency, governance, and reporting reliability across paid media and analytics data sources\nDrive workflow automation and process efficiency, reducing manual reporting dependencies\nPresent findings, trends, and strategic recommendations to Director, VP, and Executive stakeholders\n\nWhat Success Looks Like\n\nPaid Media performance is consistently connected to full-funnel outcomes — from platform spend to enrollment, LTV, and ROAS\nAnalytics Solutions’ dashboards and insights directly inform Paid Media, Channel, and Executive investment decisions\nManual reporting is reduced through automated, scalable pipelines and self-service BI\n\nHow Impact Will be Measured\n\nAccuracy and consistency of the paid media-to-enrollment-to-LTV/ROAS measurement chain\nAdoption of BI dashboards and analytics products by Paid Media, Channel, and Executive stakeholders\nReduction in manual reporting time and improvement in forecast accuracy\n\nWhat You’ll Bring to the Team\n\nYou 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.\n\nExperience That Matters Most\n\nExperience connecting paid media platform performance (spend, CPL, CPA) to full-funnel business outcomes, including enrollment, LTV, and ROAS\nStrong experience with Paid Media measurement, including multi-touch attribution and campaign performance analysis across platforms (Google Ads, Meta, LinkedIn, etc.)\nExperience with Marketing Mix Modeling (MMM), media mix simulation, or geo-experiments/lift tests to validate channel effectiveness\nAdvanced proficiency in SQL (CTEs, window functions, query optimization, large-scale data transformation)\nStrong hands-on experience with Power BI (semantic modeling, advanced DAX, dashboard UX/storytelling)\nStrong experience with Databricks (Delta Lake, PySpark, notebooks, workflows)\nWorking knowledge of web analytics platforms (e.g., Adobe Analytics, GA4) sufficient to support tagging validation and data quality for paid media measurement\nStrong executive communication and data storytelling skills\nAbility to independently navigate ambiguity and lead through undefined problem spaces\n\nExperience That’s Great to Have\n\nExperience with LTV modeling or long-term value analysis (e.g., cohort-based retention or graduation value)\nExperience with Python, statistical modeling, or advanced analytics workflows\nExposure to AI-enabled analytics, automated insight generation, or intelligent reporting frameworks\nExperience in product analytics, experimentation, or growth analytics\nBackground in analytics engineering or modern data architecture\nExperience with data clean rooms or audience data-sharing measurement (e.g., LiveRamp, Trade Desk, retail/media networks)\nExperience working in high-growth, fast-paced environments\n\nRisepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.","company":"Risepoint","rawCompany":"risepoint","city":"Myrtle Point","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-09-28T11:45:33.739Z","occupations":[{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-1161.00","title":"Market Research Analysts and Marketing Specialists","slug":"market-research-analysts-and-marketing-specialists"}],"industries":[{"code":"611710","title":"Educational Support Services","slug":"educational-support-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"516210","title":"Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers","slug":"media-streaming-distribution-services-social-networks-and-other-media-networks-and-content-providers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Analytics Solutions Analyst","description":"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.\n\nThe Impact You Will Make\n\nThis 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.\n\nHow You Will Bring Our Mission to Life\n\nWhat You Will Do\n\nAnalyze 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 ROAS\nPartner closely with Paid Media and Channel teams to build attribution and measurement frameworks that link ad platform data to downstream enrollment and revenue outcomes\nDevelop 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 available\nIndependently deliver complex analytics initiatives across performance, marketing, channel media, and solutions domains\nDesign, build, and optimize scalable data models, pipelines, and transformation workflows using Databricks\nDesign, develop, and enhance Power BI dashboards and reporting experiences, including semantic modeling and advanced DAX\nSupport web analytics tagging validation and event data quality as a secondary function, ensuring clean inputs for paid media measurement\nSupport and contribute to Marketing Mix Modeling (MMM) initiatives, including channel spend optimization, geo-experiments/lift tests, and budget allocation recommendations\nConduct advanced performance analysis, including funnel, cohort, channel, ROAS, LTV, conversion diagnostics, and forecast support\nTranslate complex datasets into clear, actionable business insights and strategic recommendations\nPartner with cross-functional teams to develop and apply KPIs, performance frameworks, and measurement methodologies\nImprove data quality, consistency, governance, and reporting reliability across paid media and analytics data sources\nDrive workflow automation and process efficiency, reducing manual reporting dependencies\nPresent findings, trends, and strategic recommendations to Director, VP, and Executive stakeholders\n\nWhat Success Looks Like\n\nPaid Media performance is consistently connected to full-funnel outcomes — from platform spend to enrollment, LTV, and ROAS\nAnalytics Solutions’ dashboards and insights directly inform Paid Media, Channel, and Executive investment decisions\nManual reporting is reduced through automated, scalable pipelines and self-service BI\n\nHow Impact Will be Measured\n\nAccuracy and consistency of the paid media-to-enrollment-to-LTV/ROAS measurement chain\nAdoption of BI dashboards and analytics products by Paid Media, Channel, and Executive stakeholders\nReduction in manual reporting time and improvement in forecast accuracy\n\nWhat You’ll Bring to the Team\n\nYou 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.\n\nExperience That Matters Most\n\nExperience connecting paid media platform performance (spend, CPL, CPA) to full-funnel business outcomes, including enrollment, LTV, and ROAS\nStrong experience with Paid Media measurement, including multi-touch attribution and campaign performance analysis across platforms (Google Ads, Meta, LinkedIn, etc.)\nExperience with Marketing Mix Modeling (MMM), media mix simulation, or geo-experiments/lift tests to validate channel effectiveness\nAdvanced proficiency in SQL (CTEs, window functions, query optimization, large-scale data transformation)\nStrong hands-on experience with Power BI (semantic modeling, advanced DAX, dashboard UX/storytelling)\nStrong experience with Databricks (Delta Lake, PySpark, notebooks, workflows)\nWorking knowledge of web analytics platforms (e.g., Adobe Analytics, GA4) sufficient to support tagging validation and data quality for paid media measurement\nStrong executive communication and data storytelling skills\nAbility to independently navigate ambiguity and lead through undefined problem spaces\n\nExperience That’s Great to Have\n\nExperience with LTV modeling or long-term value analysis (e.g., cohort-based retention or graduation value)\nExperience with Python, statistical modeling, or advanced analytics workflows\nExposure to AI-enabled analytics, automated insight generation, or intelligent reporting frameworks\nExperience in product analytics, experimentation, or growth analytics\nBackground in analytics engineering or modern data architecture\nExperience with data clean rooms or audience data-sharing measurement (e.g., LiveRamp, Trade Desk, retail/media networks)\nExperience working in high-growth, fast-paced environments\n\nRisepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.","datePosted":"2026-09-28T11:45:33.739Z","dateModified":"2026-09-28T11:45:33.739Z","hiringOrganization":{"@type":"Organization","name":"Risepoint","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Myrtle Point","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"30e66c70d573f2541de09331"},"url":"https://jobsearcher.com/jobs/30e66c70d573f2541de09331"}}