Staff Data Analyst

Vaga não está no LinkedIn

🕒 Abril 1

🗽 New York – Remoto

🗽 New York – Remote

💵 $160.000 - $190.000 / ano

⏰ Tempo Integral

🔴 Especialista

📉 Analista de Dados

👻 Score fantasma 35%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Fanatics, Inc.

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

💼 Consultoria

📣 Marketing

📦 Logística

Consulting • Marketing • Logistics

Fanatics está construindo uma plataforma digital esportiva global líder que tem como objetivo aprimorar a experiência dos fãs para mais de 100 milhões de entusiastas de esportes no mundo todo. A empresa opera em várias divisões, incluindo Fanatics Commerce, Fanatics Collectibles e Fanatics Betting & Gaming. Ela oferece aos fãs a oportunidade de: • comprar produtos licenciados para torcedores, camisas (jerseys), produtos de lifestyle e headwear; • colecionar cards colecionáveis (trading cards) físicos e digitais, memorabilia esportiva e outros ativos digitais; • participar de apostas esportivas. A Fanatics faz parceria com mais de 900 propriedades esportivas globalmente, incluindo grandes ligas, times e atletas, e opera mais de 2. 000 pontos de venda. A empresa é comprometida com a responsabilidade corporativa, com foco em filantropia, diversidade e inclusão, proteção de marca e sustentabilidade.

Descrição

• Partner with Data Science to develop and enhance predictive LTV models, contributing to feature design, cohort logic, retention modeling, revenue forecasting, and profitability estimation. • Act as the cross-functional authority on customer value, aligning Sportsbook, Casino, Marketing, Finance, Product, and Operations on interpretation and usage of LTV metrics. • Lead LTV-based acquisition performance measurement, shifting focus from short-term KPIs to long-term value creation (LTV/CAC, payback periods, cohort quality). • Translate model outputs into business narratives, enabling executives and senior stakeholders to understand drivers of value, forecast changes, and strategic trade-offs. • Standardize LTV reporting across the organization, ensuring consistent definitions, transparency of assumptions, and alignment between Analytics, Finance, and Marketing. • Embed LTV into strategic planning and capital allocation decisions, partnering with Marketing and Finance stakeholders on forecasting, scenario modeling, and long-range planning. • Drive scalable executive reporting, developing dashboards and materials that clearly communicate cohort trends, forecast updates, risks, and opportunities. • Strengthen the data foundation supporting LTV, partnering with Data Engineering to improve data pipelines, documentation, and quality controls.

🎯 Requisitos

• 7 plus years of experience in advanced analytics, data science, or strategic analytics roles, with direct experience owning or contributing to predictive models. • Experience partnering with Data Science teams to productionize and monitor predictive models, with experience with Lifetime Value models a strong advantage. • Experience building executive-level reporting and translating complex model outputs into clear business insights. • Strong understanding of statistical modeling techniques (e.g., survival analysis, regression, time-series forecasting, multivariate testing), with hands-on experience in Python, R, or similar languages. • Advanced SQL proficiency with experience building scalable datasets and supporting model inputs. • Strong understanding of acquisition economics, including CAC, payback periods, contribution margin, and ROI frameworks. • Experience integrating model outputs into financial planning, forecasting, or capital allocation decisions. • Proficiency in data visualization tools (Tableau, Power BI, or similar) with a focus on executive communication. • Demonstrated ability to influence senior leadership and drive adoption of analytics-based decision frameworks. • Experience in sports betting or iGaming is a strong advantage. • Proven ability to manage multiple high-impact initiatives in a fast-paced, high-growth environment. • A passion for working in an entrepreneurial, fast-paced environment with a focus on agility and rapid decision-making. • Willingness to travel as needed to attend key meetings across Fanatics offices.

🏖️ Benefícios

• Medical • Dental • Vision • 401K • paid time off • GymPass • Pet Insurance • Family Care Benefits • Free Shipt deliveries • $700 to set up your home office