Senior Digital Marketing Analyst

Brunswick; Chicago (IL); Sur place; USD 90 000 - 140 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

AI-enabled analytics

Web analytics

SQL

Python

Data visualization

A/B testing

Statistical modeling

Business acumen

Outils

Adobe Analytics

Adobe CJA

GA4

Google Tag Manager

Power BI

Tableau

Looker Studio

Azure Synapse

Description du poste

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 Sr. 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 influences digital product strategy and marketing effectiveness by applying rigorous analysis, using AI-enabled tools where appropriate, and communicating insights clearly to senior stakeholders.

At Brunswick, we have passion for our work and a distinct ability to deliver.

Key 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.

Strategic Marketing & Product Analytics

• Partner with Marketing teams to define requirements for website measurement frameworks that support reliable web 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.
• Support privacy-aware measurement and first-party data strategies by documenting data lineage, consent requirements, metric definitions, and model limitations.
• 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 timely monitoring of key performance indicators, including CPC, CTR, and conversion rate.

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.

Diversity of thought and experiences is fundamental when imagining the unimaginable. Certain skillsets/experiences are necessary; however, others can be developed along the way.

Required Qualifications:

• 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.
• Excellent communi