Marketing Intelligence Analyst

Foundation Partners Group is hiring a Marketing Intelligence Analyst to serve as the marketing department's core analytical operator--someone who combines marketing analytics experience with the ability to leverage modern tools, including AI, to produce faster, higher-quality insights than traditional analyst workflows allow.

This is not a traditional data analyst role. You won't be writing SQL queries or building ETL pipelines from scratch. Instead, you'll work across our full data stack--Power BI, Google Ads, GA4, Google Tag Manager, call tracking, and CRM--to surface the insights that drive marketing and business decisions. You'll know what good analysis looks like, understand what questions to ask, and deliver clear, visual intelligence that stakeholders can immediately act on.

This is a self-directed role in a fast-moving environment. You'll need to cut through ambiguity, create your own structure, and proactively pull the right people into the conversation. The department is building new analytical capabilities, and you'll be shaping how that work gets done--not just executing a playbook someone else wrote.

This role reports directly to the VP of Marketing and supports the full marketing department, with visibility into executive-level reporting and strategic planning.

• Own daily, weekly, and monthly analytics reporting across marketing channels--SEO/AI search visibility, paid media spend and performance, website analytics, phone call volume and attribution, and order/sales results--proactively flagging anomalies, performance shifts, and issues that need attention before they become problems.
• Analyze channel-level performance across paid search, SEO/organic, Google Business Profile, direct/website, and referral sources--tracking contribution, trends, and shifts in channel mix by market and location.
• Monitor conversion rates across the marketing funnel--from impression to call, call to case, and case to sale--identifying where drop-offs occur and recommending actions to improve.
• Analyze cross-channel attribution to understand how marketing investments translate to calls, cases, and revenue; surface where spend is efficient and where it's not.
• Identify underperforming markets or locations through channel-level benchmarking and flag opportunities for reallocation or intervention.
• Translate all of the above into clear, visually compelling deliverables--charts, scorecards, trend reports, and executive summaries that go beyond standard BI dashboards to communicate the "so what" behind the data.

• Build and maintain automated and semi-automated reporting workflows, reducing manual effort and increasing the speed from data to insight.
• Develop repeatable processes that connect our data stack (Power BI, GA4, call tracking, CRM) for consistent, reliable output.
• Leverage AI-powered tools where appropriate to accelerate analysis, automate repetitive tasks, and increase the depth of insight a single analyst can deliver.
• Stay current with evolving analytics and AI tools; adapt workflows as capabilities improve.

• Provide Google Tag Manager support for the technical and product teams--tag implementation, QA, troubleshooting, and ensuring data collection integrity across web properties.
• Maintain measurement hygiene: UTM governance, conversion tracking consistency, and early identification of data quality issues.

• Support ad hoc analysis and projects driven by executive requests--competitive research, market sizing, campaign post-mortems, and investment scenarios.
• Proactively identify analytical gaps or opportunities the team hasn't asked for yet; bring recommendations, not just reports.

• A reliable reporting cadence that leadership trusts and acts on--delivered faster and with more depth than the department has had before.
• Operational issues (tracking breakages, call volume anomalies, spend pacing problems) caught and escalated within hours, not days.
• Conversion funnel and channel mix visibility that didn't exist before--leadership can see where prospects…