Marketing Data Analytics
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Senior Marketing Data Analyst
Location: Remote (Candidates must be based in Minnesota, Illinois, Wisconsin, Iowa, Indiana, or Michigan) with occasional onsite travel to the office (approximately once per month)
Employment Type: Full-Time, Direct Hire
Travel: Occasional Client Visits
A leading marketing and communications organization is seeking a Senior Marketing Data Analyst to help transform data into actionable insights that drive business and marketing performance. This role will partner with cross-functional teams to evaluate campaign effectiveness, develop measurement strategies, and provide data-driven recommendations across multiple channels.
<>Key Responsibilities>- Analyze and optimize multi-channel marketing campaigns including paid media, search, social, email, and web.
- Develop insights and recommendations that improve marketing performance and business outcomes.
- Design measurement frameworks and reporting strategies.
- Utilize SQL and relational databases to answer complex business questions.
- Perform advanced analytics using Python or R.
- Build dashboards and visualizations using reporting tools.
- Support digital tagging, tracking, and campaign measurement initiatives.
- Collaborate with marketing, creative, strategy, and client-facing teams.
- Mentor junior analysts and contribute to analytics best practices.
- Stay current on emerging analytics tools, technologies, and methodologies.
- Bachelor's degree in Statistics, Mathematics, Marketing, Computer Science, Economics, Business, or a related field.
- Marketing, agency, or consulting environment experience.
- 5+ years of experience in marketing analytics, business intelligence, or performance measurement.
- Strong hands-on experience with:
- SQL
- Python and/or R
- Tableau and/or Power BI
- Experience with digital analytics platforms such as Google Analytics or Adobe Analytics.
- Strong analytical, problem-solving, and communication skills.
- Ability to explain complex analytical findings to business stakeholders.
- Experience managing multiple projects and competing priorities.
- Customer journey and attribution analysis.
- Advanced statistical modeling and forecasting.
- Leadership or mentoring experience.
Interested candidates are encouraged to apply with an updated resume.