Marketing Analytics Manager

impact.com is a commerce partnership marketing platform that helps brands discover, manage, and scale partnerships across the customer journey. The Marketing Analytics Manager will own core marketing and sales reporting, translate business questions into analyses, and improve tools and data models that support go-to-market investment decisions.

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