Senior Analytics Solutions Analyst
瑞斯波因特是一家帮助地区大学推出和发展现代学生的在线课程的教育技术公司。瑞斯波恩特支持五个国家的100多所大学和学院，其专注于护理，医疗保健，教学，商业，技术和公共服务等高需求领域。我们的产品和服务套件支持学生的全方位旅程以及每个大学的长期目标。我们一起增加获得可负担得起的教育，为学习者提供强的投资回报，满足雇主和社区需求。在 risepoint.com 了解更多。这一角色是付费媒体投资和业务成果之间的连接组织。将平台级绩效 （支出，CPL,CPA）转化为全线结果，从领先和应用到注册，最终成为学生 LTV 和 ROAS.通过对网络分析基础设施的次要支持，这个人赋予了付费媒体，频道，战略和执行领导力信心以更快速地做出更知情的投资决策。你如何实现我们的使命？·与付费媒体和道团队密切合作，建立了将广告平台数据与下游注册和收入结果联系的归属和测量框架。·开发并维护 ROAS 和 LTV 分析，以连接付费媒体支出到长期学生价值和计划水平的利能力，在可用时结合保留和毕业信号。·独立地提供性能，营销，道媒体和解决方案领域内的复杂分析举措。·使用 Databricks 设计，构建和优化可扩展的数据模型，管道和转型工作流程。· 设计，开发和增强 Power BI 仪表板和报告体验，包括语义建模和高级 DAX · 支持网络分析标签验证和事件数据质量作为次要功能，确保付费媒体测量的清洁输入 · 支持并为营销混合建模 (MMM) 举措做出贡献，包括道支出优化，地缘实验/升级测试以及预算分配建议 · 进行先进的绩效分析，包括线，队列，道，ROAS,LTV,转换诊断
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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 Make
This 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 Life
What You Will Do
· Analyze 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
· Partner closely with Paid Media and Channel teams to build attribution and measurement frameworks that link ad platform data to downstream enrollment and revenue outcomes
· Develop 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
· 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 as a secondary function, ensuring clean inputs for paid media measurement
· Support and contribute to Marketing Mix Modeling (MMM) initiatives, including channel spend optimization, geo-experiments/lift tests, and budget allocation recommendations
· Conduct advanced performance analysis, including funnel, cohort, channel, ROAS, LTV, conversion diagnostics, and forecast support
· Translate complex datasets into clear, 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
· Drive workflow automation and process efficiency, reducing manual reporting dependencies
· Present findings, trends, and strategic recommendations to Director, VP, and Executive stakeholders
What Success Looks Like
· Paid Media performance is consistently connected to full-funnel outcomes — from platform spend to enrollment, LTV, and ROAS
· Analytics Solutions’ dashboards and insights directly inform Paid Media, Channel, and Executive investment decisions
· Manual reporting is reduced through automated, scalable pipelines and self-service BI
How Impact Will be Measured
· Accuracy and consistency of the paid media-to-enrollment-to-LTV/ROAS measurement chain
· Adoption of BI dashboards and analytics products by Paid Media, Channel, and Executive stakeholders
· Reduction in manual reporting time and improvement in forecast accuracy
What You’ll Bring to the Team
You 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 Most
· Experience connecting paid media platform performance (spend, CPL, CPA) to full-funnel business outcomes, including enrollment, LTV, and ROAS
· Strong 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 effectiveness
· Advanced 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 measurement
· Strong executive communication and data storytelling skills
· Ability to independently navigate ambiguity and lead through undefined problem spaces
Experience That’s Great to Have
· Experience with LTV modeling or long-term value analysis (e.g., 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 (e.g., LiveRamp, Trade Desk, retail/media networks)
· Experience working in high-growth, fast-paced environments
Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.
Originally posted on Himalayas