Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Brunswick Corporation

Senior Digital Marketing Analyst

Brunswick Corporation

. Design and implement statistical models for forecasting, identifying marketing ROI drivers, and predicting user behavior across channels .

Posted 10/30/2026full-timeChicago • Illinois • United StatesSenior💰 $87,800 - $128,750 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in statistical modeling, digital analytics, and data visualization, with a strong ability to influence stakeholders through data-driven insights. Proficient in building and maintaining forecasting models and analytics frameworks to support marketing and product strategies.

Highest-signal resume keywords
Statistical ModelingDigital AnalyticsSQL ProficiencyPower BI ExpertiseA/B Testing Experience

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical ModelingForecastingA/B TestingPredictive ModelingSQLPythonData VisualizationData ValidationAttribution ModelingScenario Modeling
Soft Skills
Excellent CommunicationStrong Business AcumenInfluencing Stakeholders
Tools & Technologies
Adobe AnalyticsGoogle Analytics 4Power BIAzure SynapseGoogle Tag ManagerDV360Meta AdsTableauLooker StudioCRM Systems
Industry Keywords
Marketing ROIMedia MixDigital Campaign PerformanceKPI ReportingPrivacy-Aware Measurement

Tech Stack

Tools & technologies
AzureCloudETLNumpyPandasPythonScikit-LearnSQLTableau

About the role

Key responsibilities & impact
  • Design and implement statistical models for forecasting, identifying marketing ROI drivers, and predicting user behavior across channels
  • Build and maintain forecasting models for CPA, LTV, and ROAS to inform budget allocation
  • Partner with Finance and Marketing on media-mix and budget-allocation decisions through scenario modeling and simulations
  • Define requirements for website measurement frameworks supporting reliable web analytics
  • Lead deep-dive analyses of digital campaign performance across paid search, paid social, display, and other channels
  • Develop and refine attribution models to evaluate marketing effectiveness across touchpoints
  • Quantify feature adoption, conversion funnel performance, and retention metrics for Digital Product teams
  • Guide A/B and multivariate testing strategies, including test design, lift analysis, and statistical significance validation
  • Define requirements for analytics infrastructure, data pipelines, and ETL processes with data engineering teams
  • Develop data validation, transformation, and QA processes
  • Support privacy-aware measurement and first-party data strategies
  • Use Azure Synapse to manage large-scale datasets
  • Build interactive Power BI dashboards and data stories
  • Deliver KPI reporting frameworks covering CPC, CTR, and conversion rate
  • Perform market research, competitive benchmarking, and digital trend analyses
  • Serve as analytics lead for Marketing and Product stakeholders
  • Communicate analytical findings to technical and non-technical stakeholders, including executives

Requirements

What you’ll need
  • Experience using AI-enabled tools to support analytics workflows, evaluating outputs for accuracy, bias, privacy, security, and business relevance
  • Expertise in Adobe Analytics, Adobe Customer Journey Analytics (CJA), Adobe Launch, GA4, Google Tag Manager, and CRM systems
  • 5+ years of hands-on experience in digital analytics, marketing science, or data science roles with demonstrated impact
  • Ability to work with DV360, Google Ads, and Meta Ads
  • Proficiency in SQL and Python, including Pandas, NumPy, and Scikit-learn
  • Experience or background in statistical modeling, forecasting, and experimental design, including A/B testing and causal inference
  • Experience building predictive models using large datasets from media platforms, customer databases, and product telemetry
  • Deep understanding of data visualization best practices and experience with Power BI, Tableau, Looker Studio, or equivalent tools
  • Comfortable 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 and ability to distill complex findings into executive-ready narratives

Benefits

Comp & perks
  • Annual discretionary bonus eligibility
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Paid vacation
  • 401k with up to 4% match
  • Health Savings Account with company contribution
  • Well-being program
  • Product purchase discounts
  • Growth and development opportunities
  • Equal Opportunity Employer
  • Accommodation support during the application or interview process