Digital Marketing Analyst

Brunswick Corporation-posted 3 months ago
$74,600 - $119,500/Yr
Full-time • Mid Level
Mettawa, IL
5,001-10,000 employees
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The Digital Marketing Analyst is responsible for turning complex data into clear, actionable insights that fuel product improvements and marketing ROI. Collaborate with Digital Product to plan and track feature success, Marketing to evaluate campaigns, and Performance Marketing to optimize spend and targeting. At Brunswick, we have passion for our work and a distinct ability to deliver.

  • Extract, clean, and validate data from multiple sources (e.g., GA4, Adobe Analytics, CRM, Ad Platforms). Ensure data quality and consistency across dashboards and reports.
  • Analyze digital marketing campaigns across channels (e.g., Paid Search, SEO, Paid Social, Organic Social, Display) to help improve performance.
  • Provide data driven recommendations for A/B testing and multivariate testing to optimize campaigns and improve conversion rates.
  • Develop automated dashboards and regular reports to track key performance metrics (KPIs) such as CTR, CPC, CPA and ROAS.
  • Manage and interpret data from analytics platforms like Google Analytics, Oracle, CRMs, and other marketing technology.
  • Collaborate with marketing, performance marketing, and product teams to support data-driven strategies.
  • Conduct performance forecasting and develop models to project marketing ROI and channel-specific growth.
  • Analyze market trends, customer demographics, and competitor performance to provide actionable insights.
  • Translate complex analyses (segmentation, funnel drop off, campaign mix) into engaging narratives and visual stories that resonate with stakeholders.
  • 2+ years of professional experience involving marketing data mining, analysis, and reporting.
  • Experience with Azure Synapse, Google Analytics 4, Google Tag Manager, and website tagging debugging tools.
  • Working knowledge of statistical concepts that impact the accuracy of data analysis.
  • Experience reviewing, cleaning, and structuring data for analysis; experience with advanced analytical techniques, such as regression and cluster analysis, a significant plus.
  • Proficient with Python, SQL and familiarity with other programming languages a plus.
  • Data visualization experience in Power BI a significant plus.
  • Extreme attention to detail and a passion for using data to inform and influence.
  • Strong written and oral communication skills and ability to effectively convey complex and data-related concepts to a variety of technical and non-technical audiences.
  • Excellent time management and organizational skills.
  • High degree of flexibility and maturity, with the ability to work independently and collaboratively with others at varying levels of seniority within and outside the organization.
  • Entrepreneurial spirit with the desire to work in an innovative, fast-paced environment.
  • Medical, dental, vision insurance
  • Paid vacation
  • 401k (up to 4% match)
  • Health Savings Account (with company contribution)
  • Wellbeing program
  • Product purchase discounts
  • Annual discretionary bonus
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