Senior Analyst Web Analytics

Job Description: In this role, you will partner with stakeholders to answer key business questions – analyzing data, uncovering meaningful insights, presenting findings, recommending improvements, and enabling data-driven decision-making for our stakeholders. Your impact will help us to better connect those affected by cancer to the resources and care that they need – contributing to our mission to End Cancer for Life. Responsibilities: • Support critical reporting workstreams for organization-level and executive-level reporting, particularly related to Marketing's impact on institutional demand. • Assist with the creation and ongoing management of data tables for use in various data applications. • Monitor and report on performance for various aspects of our Marketing & Communication ecosystem; using data visualization, decks, and other forms of communication. • Conduct focused analyses to answer business questions, joining and transforming disparate data to establish clear takeaways. • Work with Analytics, IT, and Marketing stakeholders to help build, optimize, scale, and manage our Business Intelligence ecosystem. • Collaborate with internal stakeholders and agency/vendor partners, ensuring your expertise and our collective Marketing Analytics perspective shines through. • Champion a hybrid "Service/Self-Service” analytics model within M&C – educating peers as you build solutions to help them. • Manage workspaces, data refresh, dataflow creation, and the ongoing improvement of our data processing efficiency; including automation, where possible • Help to improve the taxonomy, process, and technical infrastructure that supports our data work across the organization. Requirements: • Three or more years' experience working in a Marketing Analytics role. • Working knowledge of common marketing data types, including web/mobile analytics (e.g., Google Analytics, Heap), advertising analytics (Google Marketing Platform, Meta, The Trade Desk, etc.), and phone tracking (e.g., Invoca). • Experience with SQL and various downstream data applications (business intelligence, et al.). Experience with Microsoft PowerBI, Databricks, and/or dbt is a plus. • The ability to understand the context of data and how it can inform business analysis. • Confidence in verbal and written communication, with the ability to synthesize sophisticated information and convey complex ideas in an accessible manner. • An intrapreneurial mindset, seeking out ways to continuously improve both what is produced and how work gets done.