Marketing Analytics Manager

impact.com is a commerce partnership marketing platform. The Marketing Analytics Manager owns core reporting and analysis that help go-to-market teams evaluate campaign performance, business trends, and investment decisions. The role partners with marketing, sales, finance, product, customer success, and analytics engineering to improve reporting and data models.

Responsibilities:

• Own the process for the weekly, monthly, and quarterly business reviews that marketing and sales leaders use to track campaign performance and business trends — and improve them over time so they drive decisions rather than descriptions
• Translate vague business questions ("why is pipeline soft in EMEA?") into workable analyses, sell a solution, and manage the delivery process efficiently
• Partner with internal customers and engineers to move recurring manual reporting into useful tools that drive decisions which save time and money
• Work directly with stakeholders across marketing, sales, finance, product, and customer success to scope what they actually need and design a plan to get them that information efficiently and with the right level of accuracy
• Contribute to data collection and modeling conversations where marketing's needs intersect with the broader company data model

Requirements:

• 5+ years of business analytics experience in a software or information business
• A strong understanding of SQL and working proficiency with Python — enough to do your own analysis end-to-end without needing outside help
• A track record of designing dashboards and reports that people use to actually make decisions, and a sense of taste on what makes the difference between decisive reporting and vague reporting
• Ability to explain an analysis or technical concept to colleagues in a way that drives action
• Comfortable owning a workstream end-to-end with light oversight: you'll get direction on weekly priorities and outcomes, but will be trusted to set your own week and say no to the right things
• Experience with attribution modeling — multi-touch, time decay, incrementality
• Experience with lead scoring
• Experience with integration of sales and marketing data and a full-funnel perspective
• Experience with dbt, databricks, Looker, or another data management tool
• Experience in partnership marketing, digital marketing, or performance marketing