Marketing Intelligence Analyst

Foundation Partners Group•Orlando, FL

About The Position

Foundation Partners Group is seeking a Marketing Intelligence Analyst to be the core analytical operator for the marketing department. This role combines marketing analytics experience with the ability to leverage modern tools, including AI, to produce faster, higher-quality insights than traditional analyst workflows. This is not a traditional data analyst role; instead, you will work across the full data stack (Power BI, Google Ads, GA4, Google Tag Manager, call tracking, and CRM) to surface insights that drive marketing and business decisions. You will understand what good analysis looks like, know what questions to ask, and deliver clear, visual intelligence that stakeholders can act on. This is a self-directed role in a fast-moving environment requiring you to cut through ambiguity, create structure, and proactively engage stakeholders. You will be instrumental in shaping the department's new analytical capabilities. This role reports directly to the VP of Marketing and supports the full marketing department, with visibility into executive-level reporting and strategic planning.

Requirements

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.
Experience turning complex data into clear, compelling visual deliverables.
Experience working with BI tools (Power BI preferred) and web analytics platforms (GA4).
Comfort with Google Tag Manager (implementation, troubleshooting, QA).
Self-directed and comfortable with ambiguity; ability to create structure, take initiative, and know when to ask questions.
Natural cross-functional collaborator who proactively engages stakeholders and builds relationships.
Strong communication skills; ability to present findings to executives clearly, concisely, and with a point of view.
Adaptability and intellectual curiosity; ability to thrive in an evolving analytics landscape.

Nice To Haves

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.
Experience in high-consideration or regulated categories.

Responsibilities

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.
Analyze channel-level performance across paid search, SEO/organic, Google Business Profile, direct/website, and referral sources, tracking contribution, trends, and shifts by market and location.
Monitor conversion rates across the marketing funnel (impression to call, call to case, case to sale), identifying drop-offs and recommending actions.
Analyze cross-channel attribution to understand marketing investment translation to calls, cases, and revenue, identifying efficient and inefficient spend areas.
Identify underperforming markets or locations through channel-level benchmarking and flag opportunities for reallocation or intervention.
Translate analysis into clear, visually compelling deliverables (charts, scorecards, trend reports, executive summaries) that communicate the 'so what' behind the data.
Build and maintain automated and semi-automated reporting workflows to reduce manual effort and increase speed from data to insight.
Develop repeatable processes connecting the data stack (Power BI, GA4, call tracking, CRM) for consistent output.
Leverage AI-powered tools to accelerate analysis, automate tasks, and increase insight depth.
Stay current with evolving analytics and AI tools and adapt workflows as capabilities improve.
Provide Google Tag Manager support for technical and product teams, including tag implementation, QA, troubleshooting, and ensuring data collection integrity.
Maintain measurement hygiene, including 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, investment scenarios).
Proactively identify analytical gaps or opportunities and bring recommendations.