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.

• 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.

• 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.

• 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.

• 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, Inter Action, Marketo, etc.), system integration, and reporting architecture.
• Deep experience with marketing automation platforms (Service Now, Big Hand, 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.