Senior Digital Marketing Analyst

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 Marketing teams to inform media-mix and budget-allocation decisions through scenario modeling and simulations.
• 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.
• 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.

Requirements

• Experience using AI-enabled tools to support analytics workflows, with the ability to evaluate outputs for accuracy, bias, privacy, security, and business relevance.
• Expertise in web and marketing analytics platforms such as 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 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.
• Background in statistical modeling, forecasting, and experimental design (e.g., A/B testing, causal inference) a plus.
• 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.

Benefits

• This position is eligible to participate in Brunswick's comprehensive and high-quality benefits offerings, including medical, dental, vision, paid vacation, 401k (up to 4% match), Health Savings Account (with company contribution), well-being program, product purchase discounts and much more. Details about our benefits can be found here.