Senior Marketing Intelligence Strategist
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JobgetherMarketing Analytics
Fully remote work arrangement within the United States, with employees able to work from a location of their choice subject to applicable location requirements.Full-TimeSenior
Salary$118,600–$189,400 in CA, CT, MD, MA, NJ, NY, WA, and DC; $112,700–$179,900 in CO, HI, IL, ME, MN, NV, OH, RI, VT, and VA.
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Job Details
- Experience
- 8+ years
- Required Skills
- SQLArtificial IntelligenceBusiness IntelligenceMicrosoft Power BITableauLooker
Requirements
- 8+ years of experience in marketing intelligence, strategic analytics, business intelligence, or a closely related field.
- Proven track record of using analytics and reporting to influence business outcomes.
- Deep expertise in at least one marketing area such as paid media, owned media, or marketing measurement.
- Hands-on technical experience with SQL.
- Proficiency with dashboarding or BI tools such as Tableau, Looker, or Power BI.
- Strong business acumen and ability to understand organizational decision-making processes.
- Demonstrated consultative thinking and ability to develop high-impact solutions from stakeholder requests.
- Strong executive communication skills with the ability to challenge assumptions constructively.
- Experience or genuine interest in experimenting with AI tools and incorporating AI-augmented capabilities into workflows.
- Bachelor’s degree required; Master’s degree in a quantitative or business-related field is a plus.
Responsibilities
- Define the strategic vision and desired end state for marketing intelligence products based on stakeholder input and business objectives.
- Act as a strategic thought partner to marketing leaders to pressure-test needs and prioritize intelligence investments.
- Translate strategic concepts into detailed specifications including mockups, data requirements, and workflows for BI and analytics teams.
- Prototype and validate intelligence concepts using available data and tools to ensure they address real business needs.
- Build intelligence products across marketing domains such as paid media, owned media, and marketing measurement.
- Drive product adoption by monitoring usage, gathering feedback, and iterating on solutions to embed them into daily workflows.
- Identify opportunities to incorporate AI capabilities such as automated insight generation and natural-language interaction into products.
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