Marketing Insights Analyst (B2B SaaS)

TL;DR

Marketing Insights Analyst (B2B SaaS): Driving marketing strategy and performance analytics by owning the reporting layer and diagnosing investment impact with an accent on B2B funnel metrics and ROI analysis. Focus on building scalable dashboards, conducting deep-dive performance diagnostics, and partnering with leadership to optimize budget allocation and channel mix.

Location: Must be based in or able to commute to Oakland, CA or Denver, CO (Hybrid: 2 days/week in-office)

Salary: $131,751 — $164,689 USD

Company

hirify.global provides a leading data infrastructure platform that automates data movement and transformation for thousands of organizations worldwide.

What you will do

• Own the weekly and monthly business review process, preparing data and narratives for VP+ stakeholders.
• Design and maintain models to quantify marketing program impact across the buyer journey.
• Conduct ad-hoc deep dives to diagnose pipeline trends, campaign anomalies, and funnel conversion issues.
• Partner with Marketing Ops and data engineering to ensure data quality and consistent taxonomy.
• Analyze marketing experiments to drive continuous improvement in landing pages, email sequences, and ad creative.
• Support quarterly planning and annual budgeting with data-driven recommendations on channel mix.

Requirements

• 5-8 years of experience in marketing analytics, GTM analytics, or business intelligence within a B2B SaaS environment.
• Strong SQL skills and hands-on experience with cloud data warehouses like BigQuery, Snowflake, or Redshift.
• Proficiency with BI and visualization tools, specifically Looker.
• Working knowledge of Salesforce and marketing automation platforms like Marketo.
• Deep understanding of B2B SaaS performance metrics including pipeline, ACV, and attribution concepts.
• Ability to independently structure ambiguous problems and drive them to actionable recommendations.

Nice to have

• Python or R proficiency for statistical analysis and automation.
• Experience with multi-touch attribution platforms like Bizible.
• Familiarity with predictive modeling such as LTV estimation or propensity scoring.
• Background in data infrastructure, developer tools, or analytics software industries.

Culture & Benefits

• 100% employer-paid medical insurance.
• Generous paid time-off policy, including sick time, parental leave, and volunteer days.
• RSU stock grants.
• Professional development and training opportunities.
• Monthly cell phone stipend and access to mental health support platforms.