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.
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 communication skills, with a demonstrated ability to distill complex findings into executive-ready narratives.
Working Conditions:
- Hybrid - 3 Days per week onsite
The anticipated pay range for this position is $87,800 - $128,750 USDannually. The actual base pay offered will vary based on multiple factors including job-related knowledge/skills, relevant experience, business needs, and geographic location. Compensation decisions are dependent upon the specifics of the candidate’s qualifications and the business context.
In addition to base pay, this position is eligible for an annual discretionary bonus. 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 .
