Digital Marketing Analyst

Brunswick Boat Group•Chicago, IL

2d•Hybrid

About The Position

Are you ready for what’s next? Come explore opportunities within Brunswick, a global marine leader committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes “Next Never Rests™,” and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation. Innovation is the heart of Brunswick. See how your contributions will help transform vision into reality: Position Overview : The Digital Analyst is a strategic partner across marketing, product, and data teams, transforming complex datasets into actionable insights, predictive models, and forward-looking recommendations. This role goes beyond reporting to develop statistical models, forecast frameworks, and automated intelligence that directly influence digital product strategy and marketing effectiveness. The ideal candidate is equally comfortable conducting rigorous quantitative analysis and communicating insights clearly to senior stakeholders. At Brunswick, we have passion for our work and a distinct ability to deliver. Diversity of thought and experiences is fundamental when imagining the unimaginable. Certain skillsets/experiences are necessary; however, others can be developed along the way.

Requirements

3+ years of hands-on experience in digital analytics, marketing science, or data science roles with demonstrated impact.
Strong knowledge of Web Analytics tools (GA4, Adobe Analytics a plus).
Ability to work with paid media platforms including DV360, Google Ads and Meta Ads
Proficiency in SQL and Python (Pandas, NumPy, Scikit-learn), R or other statistical languages a plus.
Strong background in statistical modeling, forecasting, and experimental design (e.g., A/B testing, causal inference).
Expertise in working with web and marketing analytics platforms such as GA4, Google Tag Manager, and CRM systems.
Experience building predictive models using large datasets from sources like media platforms, customer databases, and product telemetry.
Deep understanding of data visualization best practices; experience with Microsoft Power BI, Tableau, Looker Studio, or equivalent tools.
Comfortable working with cloud data platforms (e.g., Azure Synapse).
Strong business acumen with the ability to influence cross-functional stakeholders using data and analytical insights.
Excellent communication skills, with a demonstrated ability to distill complex findings into executive-ready narratives.
Familiarity with tagging frameworks, GTM, and campaign tracking.
Exposure to analyzing CRM and lifecycle data.

Responsibilities

Advanced Data Modeling & Forecasting Design and implement statistical models (e.g., regression, time series, clustering, classification) to forecast performance, identify key drivers of marketing ROI, and predict user behavior across channels.
Build and maintain forecasting models to project marketing performance (e.g., CPA, LTV, ROAS) and inform budget allocation decisions.
Partner with Finance and Performance Marketing teams to optimize media mix using scenario modeling and budget simulations.
Media Analytics and Paid Marketing Analyze and optimize paid media channels including Google Ads, Meta Ads, and Programmatic.
Monitor and analyze ROAS, CAC, CPA, CPL, Optimal Frequency, and overall spend efficiency.
Conduct funnel, pathing, and user journey analysis using GA4.
Support attribution analysis, incrementality testing, and channel contribution reporting, including web properties without eCommerce capabilities.
Understanding of different attribution models and incrementality testing.
Strategic Marketing & Product Analytics Lead deep-dive analyses on digital campaign performance across channels (Paid Search, Paid Social, Display, etc.) to identify key levers for growth.
Develop and refine attribution models to understand marketing effectiveness across touchpoints and inform investment decisions.
Support Digital Product teams in quantifying feature adoption, conversion funnel performance, and retention metrics with statistically sound methodologies.
Guide A/B and multivariate testing strategies, including test design, lift analysis, and statistical significance validation.
Data Engineering & Infrastructure Collaboration Partner with data engineering teams to define requirements for analytics infrastructure, data pipelines, and ETL processes.
Develop robust data validation, transformation, and QA processes to ensure analytical accuracy and consistency.
Leverage tools such as Azure Synapse to manage large-scale datasets efficiently.
Dashboarding & Visualization Build scalable, interactive dashboards and data stories in Power BI to surface insights for stakeholders.
Deliver reporting frameworks that enable real-time monitoring of KPIs (e.g., CPC, CTR, conversion rate, etc.).
Competitive & Market Intelligence Perform market research, competitive benchmarking, and digital trend analyses to uncover new growth opportunities and strategic threats.
Cross-Functional Partnership Serve as the analytics lead for Marketing and Product stakeholders, helping them define success metrics and measure impact.
Communicate complex analytical findings in a clear, concise, and actionable way to both technical and non-technical stakeholders, including executives.