Responsibilities

• Produce weekly KPI updates: Pacing against funnel targets, pipeline generation, and bookings. Including calling out what's driving variances.
• Deliver the monthly metrics, including plain-language explanation of what each metric means for a non-technical audience to drive program or leadership decision-making.
• Support marketing leadership by providing accurate, up-to-date metrics needed for cross functional leadership meetings.
• Support monthly and quarterly business review reporting, highlighting the most significant changes and data points from the period to enable strategic decisions and drive revenue generation.
• Maintain recurring ROI reporting, including overall marketing ROI and event ROI based on marketing-contributed closed won
• Maintain Tableau dashboards built on Snowflake, Salesforce, and billing data. Including our core marketing funnel metrics data source, with documented definitions and repeatable QA checks.
• Write SQL to pull, validate, and reconcile data across sources, and diagnose the differences that may arise with them.
• Identify data-quality problems like duplicate counting, incomplete data, level-of-grain mismatches and provide clear recommendations for resolution to the right owners.
• Maintain documentation marketing leaders use for dashboards to answer questions.
• Support the annual marketing funnel target-setting process: maintain source actuals, prepare the modeling inputs, load approved targets into the reporting pipeline, and validate that downstream Tableau workbooks reflect them correctly.

Requirements

• 7+ years in marketing analytics, revenue operations, business analytics, sales operations, or a closely related field, with at least 4 years in a hands-on reporting and analysis role.
• Working SQL proficiency. You can independently write joins, aggregations, and window functions against a data warehouse, and debug a query returning the wrong number.
• Hands-on experience building and maintaining dashboards in Tableau (or comparable) that successfully influence marketing / revenue decision-making?
• Strong working knowledge of Salesforce data structures
• Familiarity with Claude or other AI tools
• Advanced Google Sheets: reconciliation, modeling, and analysis under time pressure.
• Understanding of B2B funnel and pipeline metrics, Lifecycle stages, pipeline generation, conversion rates, ARR, bookings and relations to one another.
• Demonstrated attention to detail. You validate before you publish and can explain how.
• Clear written communication. You can explain in plain terms how the data connects to what marketing actually did, for an audience that doesn't work in the tools.
• Comfort with ambiguity: you respond to a fuzzy request by pinning down the metric, the source, the owner, and the decision it informs.

Preferred

• Experience with Snowflake or another cloud data warehouse.
• Familiarity with subscription billing data (Zuora or similar)
• Exposure to B2B attribution concepts and tooling (CaliberMind, Bizible, or similar).
• Experience with a marketing automation platform, ideally Marketo.
• Familiarity with data pipeline tooling (Fivetran, dbt, Airflow)
• Prior work in B2B SaaS with both a self-serve/product-led motion and enterprise sales.