Senior Financial Analyst, Ecommerce Revenue & Marketing Finance

Fanatics Commerce•Jacksonville, FL
•Hybrid

About The Position

Fanatics Commerce is seeking a Senior Financial Analyst to support revenue and gross margin planning and serve as the finance partner for performance marketing and brand marketing. The role sits at the intersection of finance, business planning, analytics, merchandising, and marketing, helping the business understand growth drivers, evaluate marketing investments, and make informed spending decisions. The analyst uses data, automation, and AI-enabled insights to support measurable business and fan outcomes. The role owns revenue and gross margin planning across the annual plan, long-range plan, monthly reforecasts, and daily targets. It partners with marketing teams on spend planning, efficiency metrics, demand projections, budgets, and investment measurement, and works with analytics and data teams to improve planning inputs and assumptions. The analyst develops models connecting demand drivers, product and merchandising mix, shipped sales, and P&L outcomes; delivers variance analysis and reporting; and produces ad hoc analyses and business cases for non-finance audiences. The position also contributes to improving financial planning models, documentation, reporting, and analytical processes. It is expected to apply AI and digital tools to improve efficiency, quality, forecast accuracy, and decision-making, while adapting to new technologies and ways of working. The role is hybrid, based at the company's Jacksonville, Florida office, with in-office presence currently required Tuesday through Thursday.

Requirements

  • 4–6+ years of experience in financial planning and analysis, business planning, strategic finance, or a comparable analytical role.
  • A track record of turning analysis into clear recommendations for non-finance partners.
  • Strong financial modeling skills and fluency in Excel, including the ability to build and maintain models connecting operational drivers to P&L outcomes.
  • Experience partnering with analytics or data teams and comfort working with large, imperfect datasets.
  • Comfort operating amid ambiguity and incomplete data, with judgment about when an estimate is sufficient to move the business forward.
  • Ability to shift gears quickly and work effectively in a fast-paced, dynamic environment.
  • Bachelor's degree in Finance, Economics, Statistics, Data Analytics, or a related field.

Nice To Haves

  • SQL experience.
  • Experience in retail, e-commerce, consumer products, or sports.
  • Exposure to marketing finance, media measurement, or marketing mix modeling.

Responsibilities

  • Serve as the primary finance partner to performance marketing and brand marketing, building trusted relationships and influencing investment decisions.
  • Collaborate with analytics and data teams to source clean inputs, validate planning assumptions, and improve the quality of planning data.
  • Own revenue and gross margin planning end to end, including the annual plan, long-range plan, monthly reforecasts, and daily targets.
  • Build models that connect demand drivers, product and merchandising mix, net demand, shipped sales conversion, and P&L outcomes.
  • Support performance marketing spend planning, efficiency metrics, channel net demand projections, and incrementality analysis.
  • Support brand marketing budget planning, spend tracking, and measurement of longer-horizon investments.
  • Deliver monthly and quarterly reporting and variance analysis that explains results, causes, and forward-looking implications.
  • Analyze league and channel performance and marketing effectiveness to inform investment and fan experience decisions.
  • Develop ad hoc analyses and business cases on marketing performance, margin, and investment tradeoffs for non-finance audiences.
  • Use AI, automation, and digital tools to improve forecast accuracy, streamline recurring processes, and enhance finance team output.
  • Improve planning models, assumption documentation, reporting design, and analytical frameworks.
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