Marketing Analytics Manager

Marketing Analytics Manager

Requirements

• 5–8+ years of experience in marketing analytics, business intelligence, or a similar role, ideally in a B2B SaaS, cloud, or technology company.
• Proven record building or scaling a marketing ops stack at a high‑growth company.
• Demonstrated ability to design and launch entirely new analytics & reporting stacks—from tooling evaluation to migration and user enablement.
• Expert‑level Python (pandas, airflow, API wrappers) + SQL; comfortable with dbt.
• Skilled with visualization tools (Tableau first and foremost, plus Looker or Power BI) and marketing automation/CRM platforms (HubSpot/Marketo + Salesforce).
• Deep statistical chops—able to choose the right technique and explain it in plain English.
• Confident storyteller who adapts the message for both technical and non‑technical audiences.
• Bias for action; you ship an MVP in days, then iterate aggressively.

Responsibilities

• Partner with the Data Warehouse team to shape data requirements and quality checks, then own dashboards, reporting, and downstream models that turn data into actionable insights.
• Build and maintain dynamic dashboards in Tableau (our primary BI tool) and, where useful, complementary visualizations in Hex or Looker that surface channel‑level and holistic KPIs (ROI, CPL, CPA, funnel conversion rates).
• Guard data accuracy & integrity across HubSpot, SFDC, web, and offline sources.
• Analyze campaign and channel performance to spot trends, anomalies, and untapped opportunities.
• Partner with demand‑gen to re‑allocate spend and resources in‑flight, maximizing marginal ROI.
• Deliver clear, data‑backed recommendations for creative, targeting, and channel mix improvements.
• Apply regression, cohort, and uplift modeling to forecast lead velocity, pipeline, and revenue.
• Build and iterate lead‑scoring & segmentation models that help sales focus on high‑value prospects.
• Design and refine multi‑touch attribution frameworks that reveal the most influential touchpoints.
• Stand up Account‑Based Marketing (ABM) analytics—dashboards that track target‑account engagement, coverage, and progression; partner with Sales Ops to iterate on account lists and measure pipeline impact.
• Define marketing KPIs with leadership and track progress toward quarterly OKRs.
• Translate analytical findings into crisp narratives for sales, product, finance, and exec stakeholders.
• Advise senior leadership on investment bets (events, content, paid channels) backed by scenario modeling.
• Own the front‑end analytics stack (Tableau dashboards and complementary BI layers) and collaborate with Data Warehouse engineers who maintain Snowflake/dbt pipelines to keep insights flowing.
• Architect next‑gen reporting tech: Evaluate and pilot emerging BI, reverse‑ETL, and real‑time streaming tools; prototype new dashboards that push the team’s thinking about how (and how fast) insights are delivered.
• Leverage Python & APIs (REST/GraphQL) to automate data pipelines, external enrichments, and custom integrations.
• Train and upskill the entire Marketing org on Gen‑AI tools—run workshops on prompt engineering, model selection, and ethical use to drive broad adoption and self‑service insight generation.
• Continuously trial the latest AI agents & copilots (GPT‑4o, Claude 3, agentic RAG workflows) to slash cycle times on data prep, insight generation, and creative experimentation.

Preferred Qualifications

No preferred qualifications provided.