{
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  "job_title": "Data Analyst III - CRM",
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  "job_country": "GB",
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  "job_location": "Leeds",
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      "publisher": "Insight Partners Job Board",
      "apply_link": "https://jobs.insightpartners.com/companies/fanatics/jobs/70452325-data-analyst-iii-crm?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
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      "publisher": "The Home Of IGaming And Online Gambling Careers",
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  "employer_name": "GamblingCareers.com",
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  "job_posted_at": "15 days ago",
  "job_publisher": "LinkedIn",
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  "job_description": "We are seeking a Data Analyst III to join our growing Casino Analytics organization, with a specific focus on CRM Measurement. The role reports into the Sr. Analytics Manager and is a pivotal analytics role responsible for owning performance insight, experimentation and customer understanding across Fanatics Casino’s CRM promotional and lifecycle programs.\n\nThis role exists to enable and amplify the impact of CRM strategy by deeply analyzing customer base dynamics, lifecycle behavior and campaign interactions to ensure the right message, with the right offer, is delivered to the right customer, at the right time, in the right channel - driving desired behaviors and preventing negative ones.\n\nResponsibilities\n• Develop a strong understanding of Fanatics Betting and Gaming, as well as related products and operations.\n• Partner with CRM Strategy & Planning and cross-functional working groups to diagnose performance, identify trends and surface actionable optimization opportunities.\n• Analyze customer behavior across the full lifecycle; welcome, early-life, in-life actives, retention and reactivation to identify drivers of engagement, conversion and long-term value.\n• Develop and apply customer lifecycle analytics and segmentation frameworks to understand cohort behavior, lifecycle progression and shifts in customer value over time.\n• Support the adoption of ML and AI models within CRM, including propensity models, next-best-action and offer optimization, partnering with Data Science to integrate predictive models into lifecycle programs and campaign orchestration.\n• Build and maintain CRM BI dashboards to support performance monitoring, insight discovery and decision-making.\n• Collaboration with other Analysts and Data Scientists to find solutions to business problems.\n• Remain current on technology and trends in data analytics and the sports betting & gaming industry.\n\nExperience And Skills\n• A minimum of 4 years proven experience in an analytics role.\n• Degree in a relevant field, e.g. Mathematics, Physics, Statistics, Engineering, or Computer Science.\n• Strong SQL proficiency.\n• Experience with data visualization and reporting tools, e.g. Tableau, Sigma or PowerBI.\n• Hands-on experience with customer lifecycle analytics, analyzing behavior across multiple lifecycle stages.\n• Proven experience building and applying segmentation frameworks to drive insight, experimentation and personalization.\n• Solid understanding of multi-touch attribution, incrementality and campaign interaction effects, particularly within owned CRM channels.\n• Demonstrated experience designing experiments and interpreting results with statistical rigor.\n• Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationships.\n• Customer focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments.\n• Logical and analytical approach to problem solving, with strong organizational and communication skills.\n• Previous experience in the betting and gaming industry is a significant plus.\n• Strong proficiency in a statistical programming language, e.g. R or Python would be an advantage",
  "job_google_link": "https://www.google.com/search?q=jobs&gl=gb&hl=en&udm=8#vhid=vt%3D20/docid%3DsRzy4p4s4a_TTATXAAAAAA%3D%3D&vssid=jobs-detail-viewer",
  "employer_website": "https://www.gamblingcareers.com",
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  "job_employment_type": "Full–time",
  "job_employment_types": [
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  "job_posted_at_timestamp": 1772755200,
  "job_posted_at_datetime_utc": "2026-03-06T00:00:00.000Z"
}