Marketing Operations Data Analyst

This position is ideal for a results-oriented professional with a passion for data storytelling, technology and process optimization. You'll collaborate cross-functionally to develop dashboards, automate reporting, implement new technologies and surface actionable insights that drive strategic decisions across the marketing lifecycle. Data Analytics & Visualization • Build and maintain dynamic dashboards and reports using SharePoint, Power BI, Power Apps, and Power Automate to track marketing performance, campaign ROI, and operational KPIs. • Translate complex datasets into meaningful insights that inform strategic initiatives and decision-making. • Perform root cause analysis and trend forecasting across campaign, project and change management efforts. Marketing Operations & Insights • Evaluate marketing processes using data insights to recommend workflow optimizations, automation opportunities, and efficiency improvements. • Collaborate with cross-functional teams (marketing, IT, finance, BD) to align reporting metrics and enhance data-driven decision-making. • Manage and optimize data from marketing platforms, CRM, CMS, and other business intelligence tools. Technical Analysis & Process Support • Use Python and/or R to analyze large datasets, automate recurring reporting, and support marketing experimentation. • Partner with stakeholders to scope data needs and implement performance-tracking solutions that support marketing programs and revenue planning. • Ensure data accuracy, hygiene, and governance across all sources and touchpoints. Requirements: • 2-4 years of experience in marketing analytics, business intelligence, or operations, preferably in a law firm or other professional services, consulting, or B2B environment. • Advanced proficiency in SharePoint, Power BI, Power Apps, and Power Automate. • Hands-on experience working with large, complex datasets and database tools. • Familiarity with CRM systems (e.g., Dynamics, Salesforce, InterAction, Marketo, etc.), system integration, and reporting architecture. • Deep experience with marketing automation platforms (ServiceNow, BigHand, Workfront, etc.) • Familiarity with firm intelligence (Foundation) systems. • Advanced understanding of enterprise analytics environments. • Demonstrated success in cross-functional collaboration and presenting findings to leadership teams. • Strong verbal and written communication skills; ability to explain insights to non-technical stakeholders. • Gen AI familiarity.