Senior Digital Marketing Analyst

Brunswick Corporation•Mettawa, IL

6d•$87,800 - $128,750•Hybrid

About The Position

The Senior Digital Marketing Analyst is a strategic partner to marketing, product, and data teams, transforming complex datasets into actionable insights, predictive models, and forward-looking recommendations. The role influences digital product strategy and marketing effectiveness through rigorous analysis, appropriate use of AI-enabled tools, and clear communication with senior stakeholders. The analyst develops statistical and forecasting models, evaluates marketing and product performance, supports measurement and data infrastructure, builds dashboards, and conducts market and competitive analyses. The position works across technical and non-technical teams to define success metrics, guide investment and product decisions, and communicate actionable findings. This is a hybrid position requiring three days per week onsite. The anticipated annual base-pay range is $87,800–$128,750. The position is eligible for an annual discretionary bonus and Brunswick benefits.

Requirements

At least 5 years of hands-on experience in digital analytics, marketing science, or data science roles, with demonstrated impact.
Experience using AI-enabled tools in analytics workflows and evaluating their outputs for accuracy, bias, privacy, security, and business relevance.
Expertise with web and marketing analytics platforms, including Adobe Analytics, Adobe Customer Journey Analytics (CJA), Adobe Launch, GA4, Google Tag Manager, and CRM systems.
Ability to work with paid media platforms, including DV360, Google Ads, and Meta Ads.
Proficiency in SQL and Python, including Pandas, NumPy, and Scikit-learn.
Experience building predictive models from large datasets, such as media-platform, customer-database, and product-telemetry data.
Deep understanding of data-visualization best practices and experience with Microsoft Power BI, Tableau, Looker Studio, or equivalent tools.
Comfort working with cloud data platforms such as Azure Synapse.
Strong business acumen and ability to influence cross-functional stakeholders using data and analytical insights.
Excellent communication skills, including ability to distill complex findings into executive-ready narratives.

Nice To Haves

Proficiency in R or another statistical language.
Background in statistical modeling, forecasting, and experimental design, such as A/B testing and causal inference.

Responsibilities

Design and implement statistical models, including regression, time series, clustering, and classification, to forecast performance, identify drivers of marketing ROI, and predict user behavior across channels.
Build and maintain marketing performance forecasts, including CPA, LTV, and ROAS, to inform budget allocation.
Partner with Finance and Marketing on media-mix and budget-allocation decisions using scenario modeling and simulations.
Work with Marketing teams to define requirements for website measurement frameworks that support reliable web analytics.
Analyze digital campaign performance across channels such as Paid Search, Paid Social, and Display to identify growth opportunities.
Develop and refine attribution models to assess marketing effectiveness across touchpoints and inform investment decisions.
Support Digital Product teams in measuring feature adoption, conversion funnels, and retention using statistically sound methods.
Guide A/B and multivariate testing, including test design, lift analysis, and validation of statistical significance.
Partner with data engineering teams to define requirements for analytics infrastructure, data pipelines, and ETL processes.
Develop data validation, transformation, and quality assurance processes to ensure analytical accuracy and consistency.
Support privacy-aware measurement and first-party data strategies by documenting data lineage, consent requirements, metric definitions, and model limitations.
Use tools such as Azure Synapse to manage large-scale datasets.
Build scalable, interactive dashboards and data stories in Power BI.
Develop reporting frameworks for timely monitoring of KPIs, including CPC, CTR, and conversion rate.
Conduct market research, competitive benchmarking, and digital trend analysis to identify growth opportunities and strategic threats.
Serve as analytics lead for Marketing and Product stakeholders, helping define success metrics and measure impact.
Communicate complex analytical findings clearly and actionably to technical and non-technical stakeholders, including executives.