Key Responsibilities
Data Integration & Measurement
- Support the connection and unify data from Adobe Analytics, Google Analytics 4, Salesforce media platforms, and first-party sources.
- Partner with IT and Marketing Ops to ensure consistent tracking, tagging, and data governance across all digital touchpoints.
- Maintain data pipelines, ensuring data integrity and accuracy in all dashboards and reports.
Reporting & Visualization
- Maintain automated dashboards in Power BI, Tableau, or Adobe Workspace to track performance across campaigns, channels, and audiences.
- Establish and document KPIs, measurement frameworks, and data taxonomies that align to business goals.
- Conduct regular QA to ensure reporting accuracy and consistency across the COE.
Analysis & Insights
- Analyze traffic, engagement, conversion, and lead quality across the digital ecosystem to identify key trends and growth opportunities.
- Support marketing attribution models and ROI measurement to inform budget and channel optimization.
- Translate complex data into clear, actionable stories for marketing and executive stakeholders.
Experimentation & Optimization
- Partner with channel owners to design and interpret A/B and multivariate tests for campaigns, landing pages, and user journeys.
- Provide actionable recommendations for improving conversion rates, engagement, and campaign efficiency.
Collaboration & Enablement
- Act as a key partner to marketing, product, and sales teams, providing insights to guide decision-making and planning.
- Help advance analytics maturity by documenting processes, sharing best practices, and mentoring junior analysts.
- Contribute to the development of the Analytics Center of Excellence, ensuring a consistent and scalable approach to data-driven marketing.
Qualifications
- Bachelor’s degree in Data Science, Marketing Analytics, Computer Science, or a related field.
- 3–5 years of experience in digital or marketing analytics, ideally within a multi-channel environment (paid media, CRM, web).
- Strong technical skills in SQL, Excel, and at least one scripting language (Python or R preferred).
- Experience with Adobe Analytics (preferred) or Google Analytics 4; familiarity with Salesforce and marketing automation platforms.
- Proficiency in data visualization tools such as Power BI, Tableau, or Adobe Workspace.
- Understanding of tag management, event tracking, and data layer structures.
- Solid grasp of marketing attribution, funnel analysis, and conversion optimization principles.
- Excellent problem-solving, communication, and data storytelling skills.
Curious, self-driven, and comfortable working in a fast-paced, evolving digital environment.
Equal Opportunity Employer
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