Responsibilities

• Delivering campaign performance analytics, identifying trends, and providing actionable recommendations to improve marketing effectiveness across assigned teams
• Providing performance input for monthly business reviews, scorecards, KPI tracking, and other reporting needs to improve visibility and decision-making
• Work through complex datasets, business rules, and system structures, partnering closely with IT and business stakeholders.
• Partnering with Global Integrated Marketing, and cross-functional analytics teams to define KPIs, assess performance, and surface insights, challenges, and opportunities
• Translating business questions and complex marketing data into clear, concise insights and deliverables that support timely, data-informed decisions
• Supporting reporting consistency, process efficiency, and adoption of automated reporting and insight tools while aligning with global performance standards and frameworks
• Understanding of digital marketing data flows across platforms and channels
• Familiarity with modeling techniques, including attribution, marketing mix modeling, and segmentation

Requirements

• Bachelor’s degree or higher (completed and verified prior to start)
• Five (5) years of experience in marketing analytics, business analytics, business intelligence, data analysis or performance reporting in a private, public, government or military environment
• Five (5) years of experience working with data to generate insights, recommendations, dashboards and business performance reporting
• Five (5) years of experience with Power BI

Preferred

• Bachelor’s degree or higher in marketing, business, analytics, data science, or a related discipline
• Experience in performance measurement or insight generation in a private, public, government, or military environment
• Experience with DAX and SQL
• Exposure to Adobe Analytics, CDP, and broader enterprise data environments
• Understanding of digital marketing data flows across platforms and channels
• Familiarity with modeling techniques, including attribution, marketing mix modeling, segmentation.
• Proven ability to translate business requirements into analytical solutions
• Strong problem-solving skills, with the ability to turn data into actionable business recommendations
• Strong project management, communication, and stakeholder engagement skills
• Experience in data management, including validation, cleansing, and governance