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.

What You'll Do:

Marketing Performance Analysis & Reporting

• 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.

Workflow Automation & Tool Operation

• 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.

Measurement & Tagging Support

• 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.

Strategic & Ad Hoc Support

• 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.

What Success Looks Like:

• 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 drop off, which channels are driving results by market, and what's driving changes in close rates.
• Reporting deliverables that stakeholders consistently describe as clear, visual, and actionable--a meaningful upgrade from raw dashboards and data exports.
• Cross-functional partners actively seek this person out because they make data understandable and useful.
• Documented, repeatable workflows that scale the team's analytical capacity and reduce time-to-insight.

Tools & Platforms:

• Analytics & BI: Power BI (primary), GA4, Google Search Console
• Tagging & measurement: Google Tag Manager, UTM frameworks, call tracking platforms (Marchex/RingSense)
• Marketing platforms: Google Ads, Birdeye, Meta Ads, SEO tools (SEMrush, Ahrefs, or similar)
• Visualization & reporting: PowerPoint, Excel/Google Sheets, HTML reporting tools
• AI & automation: Claude, ChatGPT, Copilot, or comparable AI-powered analysis tools (working familiarity expected; daily fluency preferred)

What You Have:

• 3--5+ years in marketing analytics, media analysis, marketing operations, or a comparable analytical role supporting digital marketing programs
• Strong understanding of marketing analytics fundamentals: attribution, channel performance, conversion funnels, and media mix--you know what "good" looks like
• Experience turning complex data into clear, compelling visual deliverables--you think in charts and narratives, not just tables
• Experience working with BI tools (Power BI preferred) and web analytics platforms (GA4)
• Comfort with Google Tag Manager--able to implement, troubleshoot, and QA tags without needing developer support for routine tasks
• Self-directed and comfortable with ambiguity: you create structure where none exists, take initiative without waiting for direction, and know when to ask questions versus when to move forward
• A natural cross-functional collaborator who proactively pulls stakeholders into the conversation, builds relationships across teams, and drives alignment rather than waiting for someone else to coordinate
• Strong communication skills--able to present findings to executives clearly, concisely, and with a point of view
• Adaptability and intellectual curiosity: the analytics landscape is evolving fast, and you're energized by that, not intimidated

Preferred Qualifications:

• Demonstrated experience using AI tools (Claude, ChatGPT, Copilot) for data analysis, reporting automation, or workflow acceleration in a professional setting
• Experience with call tracking and offline conversion workflows
• Experience supporting multi-location, multi-brand, or franchise marketing
• Working knowledge of Python or SQL for data manipulation (not engineering-level, but enough to work effectively with modern analytics tools)
• Experience in high-consideration or regulated categories