Marketing & Operations Analytics Manager

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.

What you will do

• Lead cross-functional analytical initiatives from problem framing through insight delivery for marketing, partner management, and operations teams.
• Analyze partner performance across the full enrollment funnel, from lead generation through yield, and translate findings into growth strategies.
• Identify data errors, discontinuities, and reconciliation gaps while maintaining rigorous analytical quality.
• Build analytical pipelines, reporting workflows, KPIs, and monitoring infrastructure with BI and data engineering teams.
• Use Claude, Databricks Genie, and other AI-assisted tools to accelerate analysis while retaining accountability for analytical judgment.
• Communicate recommendations to executives and department heads and coach analysts as the team grows.

Requirements

• 5+ years of experience in analytics, strategy, business operations, corporate finance, business transformation, or professional services.
• Strong proficiency in Databricks and advanced SQL, including CTEs, query optimization, and window functions.
• Knowledge of data governance and data engineering principles, plus experience with analytical and quantitative problem-solving.
• Advanced Excel skills, including Power Query M and DAX.
• Experience with Power BI or Tableau and familiarity with Claude, Databricks Genie, prompt engineering, and natural-language query interfaces.
• Bachelor’s degree with demonstrated quantitative proficiency.

Nice to have

• Experience using Databricks, SQL, AI tools, and data analysis to clean data, extract insights, and communicate recommendations to leadership.
• Master’s degree or equivalent experience in data analytics, business intelligence, or data science.
• Agile experience in a dynamic, fast-paced environment.

Culture & Benefits

• Full-time role in a US remote work environment.
• Cross-functional collaboration across marketing, partner management, operations, BI, and data engineering.
• AI-first analytical practices that use productivity tools without replacing analytical accountability.
• Opportunity to develop people leadership and build an expanding analytics team.
• Commitment to a diverse and inclusive workforce.