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Data Analyst II, Marketing

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💎 Seniority level: Middle, 3+ years

📍 Location: United States

💸 Salary: 110000.0 - 120000.0 USD per year

🔍 Industry: Sports gaming

🏢 Company: Underdog Sports

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: SQLData AnalysisREST APICommunication SkillsAnalytical SkillsData visualizationMarketingDigital MarketingData analyticsA/B testing

Requirements:
  • 3+ years of experience in marketing analytics across digital and/or traditional media channels
  • Strong SQL skills with the ability to query complex datasets and join multiple data sources
  • Experience with dashboard creation and data visualization tools
  • Familiarity with mobile marketing measurement platforms (AppsFlyer, Adjust, Branch, or similar DMPs)
  • Knowledge of offline media measurement tools and methodologies (iSpot, Nielsen, Kantar, or similar)
  • Understanding of key marketing metrics including CAC, LTV, ROAS, and multi-touch attribution models
  • Experience analyzing user acquisition campaigns across multiple channels, including the ability to identify halo effects from offline to online
  • Ability to work with time-series data to identify correlations between offline media flights and digital performance
  • Strong problem-solving skills with the ability to translate data insights into actionable recommendations
  • Excellent communication skills to present findings to both technical and non-technical stakeholders
Responsibilities:
  • Develop and maintain comprehensive reporting metrics to track performance across the full marketing mix including digital campaigns, TV, radio, OOH, and print media
  • Analyze acquisition funnels, user journey flows, and retention patterns to optimize CAC while balancing long-term customer value and payback targets
  • Create and maintain dashboards and visualizations that provide a unified view of marketing performance across all channels
  • Identify correlations between offline media initiatives and digital engagement/conversion metrics
  • Collaborate with marketing teams to provide strategic recommendations for cross-channel campaign optimization and budget allocation
  • Support the development of attribution models that account for both digital and offline touchpoints
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