Senior Analytics Solutions Analyst (Paid Media)

Location: US - Remote

Company

hirify.global is an education technology company that helps regional universities launch and grow online programs for modern learners across high-demand fields such as healthcare, teaching, business, technology, and public service.

What you will do

• Connect paid media platform performance, including spend, CPL, CPC, and CPA, with leads, applications, enrollment, student LTV, and ROAS.
• Build attribution and measurement frameworks linking advertising data to downstream enrollment and revenue outcomes.
• Develop ROAS, LTV, funnel, cohort, channel, conversion, and forecast analyses to support program profitability and investment decisions.
• Design and optimize scalable data models, pipelines, and transformation workflows using Databricks.
• Develop Power BI dashboards and reporting experiences with semantic modeling and advanced DAX.
• Support web analytics tagging validation, data quality, Marketing Mix Modeling, geo-experiments, workflow automation, and executive recommendations.

Requirements

• Experience connecting paid media performance to full-funnel outcomes, including enrollment, LTV, and ROAS.
• Strong experience with paid media measurement, multi-touch attribution, and platforms such as Google Ads, Meta, and LinkedIn.
• Advanced SQL skills, including CTEs, window functions, query optimization, and large-scale data transformation.
• Strong hands-on experience with Power BI, semantic modeling, advanced DAX, dashboard UX, and data storytelling.
• Strong experience with Databricks, Delta Lake, PySpark, notebooks, and workflows.
• Ability to independently lead ambiguous analytics initiatives and communicate findings to executive stakeholders.

Nice to have

• Experience with LTV modeling, cohort-based retention analysis, or graduation value.
• Experience with Python, statistical modeling, product analytics, experimentation, or growth analytics.
• Exposure to AI-enabled analytics, automated insight generation, intelligent reporting, data clean rooms, or audience data-sharing measurement.
• Background in analytics engineering, modern data architecture, or high-growth environments.

Culture & Benefits

• Work supports expanded access to affordable online education and improved outcomes for learners.
• Cross-functional collaboration with Paid Media, Channel, Strategy, Analytics, and executive stakeholders.
• Focus on scalable self-service BI, reliable reporting, data governance, and reduced manual reporting.
• Commitment to equal opportunity and an inclusive workforce.