Marketing Analytics Manager

What You'll Do:

Marketing Analytics & Strategic Insights:

• Serve as a strategic analytics partner across the marketing organization, translating data into insights that shape planning, investment, and campaign decisions and drive measurable business outcomes.
• Develop, maintain, and refresh marketing dashboards and reports across HockeyStack, Salesforce, Domo, and Adobe CJA to track KPIs, campaign effectiveness, and ROI.
• Report on top of funnel marketing performance, lead acquisition, conversion rates and velocity, and opportunity progression, to give a clear view of marketing's impact.
• Support reporting needs across all levels of the business, from executive leadership to individual executors, tailoring insight to each audience.
• Deliver ad hoc analysis, segment breakdowns, and channel/campaign deep dives that answer strategic questions on short turnaround.

Marketing Data Quality & Governance:

• Validate reporting and ensure the numbers reconcile across systems, so stakeholders can trust the metrics they act on.
• Troubleshoot and resolve integration and data discrepancies.
• Help build out the marketing data warehouse, partnering with the centralized data infrastructure team to establish a scalable, reliable data foundation.
• Help maintain the clean, consistent, well-governed data foundation that enables faster reporting, trusted metrics, and confident decision-making across marketing.

Attribution & Pipeline Measurement:

• Support the maintenance and evolution of multi-touch attribution models, keeping reporting objects current as campaigns and channels change.
• Partner with field marketing, revenue operations, and the Sales/BDR organizations on lead-to-opportunity reporting and analysis, ensuring accurate tracking of marketing-sourced and influenced pipeline.
• Translate attribution and pipeline data into actionable insights that help stakeholders make informed ROI decisions when planning activities.

Automation, Tooling & AI Innovation:

• Help drive our growing investment in AI and automation for marketing analytics, we're actively expanding into this space and want someone with the curiosity and passion to help shape it.
• Build and extend automation and data-access workflows, including API and MCP connections, that broaden analytics and AI tooling access for the Marketing Analytics & Operations team.
• Explore and apply emerging AI and data capabilities to increase analytics throughput, reduce manual work, and unlock new kinds of insight.
• Develop reusable reporting templates, lightweight data products, and cross-system data workflows that scale the team's impact.

What You'll Bring:

• 3+ years of experience in marketing analytics, marketing/revenue operations, or a related analytical field, ideally in a B2B SaaS environment.
• Strong proficiency building dashboards and reports in tools such as HockeyStack, Domo, Tableau, or Sigma, or similar BI/visualization platforms.
• Hands-on experience with CRM data (particularly Salesforce) and marketing automation platforms (Marketo or HubSpot).
• Hands-on experience applying AI/LLM tooling to analytics or operations workflows.
• Experience building automations or integrations via APIs, with familiarity with emerging standards like MCP a plus.
• Working knowledge of SQL and/or Python for data analysis and cross-system data work.
• Self-driven and intellectually curious, with the initiative to dig into problems without waiting to be told how, you can pick up the business and domain along the way.
• Solid understanding of the marketing funnel, lead lifecycle, and attribution concepts (multi-touch, first-touch, last-touch).
• Curiosity and passion for AI, automation, and modern data tooling, with eagerness to help build in an emerging space.
• Strong analytical and problem-solving skills, with the ability to translate data into clear, actionable insights and business recommendations.
• Excellent communication skills, with the ability to convey findings to non-technical stakeholders.

Preferred Qualifications:

• Experience with data warehousing (e.g., Snowflake) and data-quality, ETL, or data-pipeline processes.
• Exposure to customer journey analytics (e.g., Adobe CJA).
• Certification in Marketo or Salesforce.
• Previous experience in a high-growth, enterprise SaaS company.