Responsibilities

• Lead the enterprise Marketing Analytics function responsible for delivering data-driven insights that inform strategic decision-making across Holman’s retail and commercial businesses
• Oversee the design, integration, and governance of marketing data across multiple platforms (Snowflake, Power BI, Databricks) to ensure leadership has timely, accurate, and actionable visibility into performance and ROI.
• Act as a strategic advisor to Marketing and Strategy leadership, translating complex analytical findings into recommendations that directly influence enterprise media investments, channel strategy, and market share growth.
• Establish processes that identify goals of digital projects upfront, establish KPIs for success, set performance benchmarks, and report back on results
• Develop quality assurance process that reduces time to delivery and maximizes productivity of individual contributors. Support automation efforts across the marketing organization
• Study and understand industry-level trends and challenges. Incorporate macro-level factors into findings and recommendations to provide context and clarity
• Manage all workload and assign priorities using project management tool.
• Possess a deep understanding of the Holman companies, products and solutions offered
• Deliver objective quarterly employee evaluations, conduct monthly 1:1 meetings and support individual development goals
• Deliver enterprise marketing performance, channel performance, and ROAS dashboards providing unified visibility into spend efficiency and market share trends

Requirements

• 8+ years of progressive experience in marketing analytics or data-driven strategy, with demonstrated expertise managing large, multi-source data environments
• 3+ years of experience leading cross-functional analytics or business intelligence teams supporting enterprise-level performance
• Proven track record in developing data architecture, attribution methodologies, and KPI frameworks that drive measurable revenue and efficiency outcomes
• Graduate degree in data science, statistics, analytics, or related field is preferred; Bachelor’s degree in a quantitative discipline with relevant experience accepted
• Certifications in Power BI, Databricks, Google Analytics 4, GitHub are a plus
• Proficient in Python, R, SQL, and Databricks

Benefits

• Health Insurance
• Vision Insurance
• Dental Insurance
• Life and Disability Insurance
• Flexible Spending and Health Savings Accounts
• Employee Assistance Program
• 401(k) plan with Company Match
• Paid Time Off (PTO)
• Paid Holidays, Bereavement, and Jury Duty
• Paid Pregnancy/Parental leave