Senior Digital Marketing Analytics Lead

brunswick; Chicago (IL); On-site; USD 90,000 - 140,000; Full time

Job summary

Brunswick is seeking a Sr. Digital Analyst to translate complex datasets into actionable insights across marketing, product, and data teams. You will influence digital product strategy, evaluate marketing effectiveness, and communicate findings to senior stakeholders.

You will apply rigorous analysis, leverage AI-enabled tools, and partner with analytics and engineering to build robust data pipelines, dashboards, and predictive models.

Qualifications

• 5+ years of hands-on experience in digital analytics, marketing science, or data science roles with demonstrated impact.
• Experience using AI-enabled tools to support analytics workflows with attention to accuracy, bias, privacy, and relevance.
• Proficiency in SQL and Python (Pandas, NumPy, Scikit-learn) or similar.
• Strong understanding of web and marketing analytics platforms (Adobe Analytics, GA4, etc.).
• Experience with paid media platforms (DV360, Google Ads, Meta Ads).
• Deep knowledge of data visualization best practices and BI tools.

Responsibilities

• Design and implement statistical models (regression, time series, clustering) to forecast performance and ROI.
• Build forecasting models for CPA, LTV, and ROAS to inform budgets.
• Collaborate with Finance/Marketing to model scenarios for media mix and budgets.

Skills

AI-enabled analytics

Web analytics

SQL

Python

Data visualization

A/B testing

Statistical modeling

Business acumen

Tools

Adobe Analytics

Adobe CJA

GA4

Google Tag Manager

Power BI

Tableau

Looker Studio

Azure Synapse

Job description

Brunswick is seeking a Sr. Digital Analyst to translate complex datasets into actionable insights across marketing, product, and data teams. You will influence digital product strategy, evaluate marketing effectiveness, and communicate findings to senior stakeholders.

You will apply rigorous analysis, leverage AI-enabled tools, and partner with analytics and engineering to build robust data pipelines, dashboards, and predictive models.