Responsibilities

• Serve as a strategic analytics partner to marketing leadership, influencing decisions that drive revenue growth, efficiency, and profitability
• Own marketing analytics end-to-end, from data extraction and validation through insight generation and executive-level recommendations
• Create insight-first dashboards and reports in Power BI that go beyond visualization to highlight trends, risks, and opportunities
• Diagnose complex performance issues across paid media, UX, funnel conversion, customer journey, and channel mix
• Independently identify and investigate performance changes (e.g., revenue drops, ROAS shifts, conversion declines) using structured problem-solving approaches
• Translate complex analyses into clear, compelling narratives for senior, non-technical stakeholders
• Ensure data accuracy and integrity across multiple data sources, including analytics platforms, data warehouses, and CRM systems
• Act as a subject matter expert on marketing and eCommerce data assets, enabling stakeholders to make better, faster decisions
• Support the evolution of analytics maturity across the organization by setting a high bar for rigor, insight, and impact
• Serve as lead analyst for marketing analytics, with potential to manage or mentor 2–3 analysts

Requirements

• Bachelor’s degree in Math, Marketing, Statistics, Computer Science, Finance, Economics, Data Science, or a related field
• 3-5 years of hands-on experience analyzing eCommerce, digital marketing, and paid search performance, with a track record of translating data into recommendations with revenue impact
• Proven experience delivering insights that directly influenced revenue, profitability, or growth decisions—not just operational efficiency or automation
• Deep understanding of paid media performance, conversion funnels, and acquisition economics
• Strong SQL skills (2–3 years) for extracting, manipulating, and validating data
• Advanced experience with Power BI (or Tableau) for building insight-driven dashboards
• Experience working across multiple data sources (e.g., Google Analytics, BigQuery, Salesforce)
• Demonstrated ability to communicate insights and recommendations to senior business leaders through clear, structured storytelling
• Lead the marketing analytics function day-to-day, mentoring analysts and—when applicable—managing 2–3 direct reports (coaching, prioritization, development, and quality standards)
• Comfortable working with ambiguity and minimal direction; proactively identifies what analyses are needed

Benefits

• Flexible time off and company recognized holidays
• 401k pension plan with company match contributions
• Short-term and long-term disability
• Life insurance- Basic, voluntary, and AD&D
• Healthcare- Medical, dental, vision, and MDLive
• Flexible spending & Health Savings Accounts (HSA)