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Sport Alliance GmbH is hiring a Customer Operations Data & Insights Specialist (m/f/d)

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Remote (Germany)
Posted a day ago
7 views

Job Description

Ready to turn operational data into decisions that make a real impact in the FitTech industry? Join a team that values your insights, gives you ownership, and empowers you to shape Customer Operations with clear, actionable intelligence. 

Your position in our team
  • Drive operational analytics by identifying trends, root causes, and measuring the impact of key initiatives (e.g., AI rollouts, workflow changes), including the development of forecasting and predictive models based on real data and project plans
  • Design, build, and maintain dashboards and reports that are clear, actionable, and tailored to different roles

  • Maintain ticketing taxonomies, data structures, and system configurations to ensure data quality and governance

  • Translate operational questions into measurable hypotheses and actionable insights

  • Extract knowledge from stakeholders and convert it into SOPs, workflows, and data-driven recommendations

  • Continuously monitor operational metrics and support decision-making with structured, reliable data


  • Your profile
  • 2–4 years in SaaS or tech, hands-on in Customer Support or Customer Operations

  • Experience with ticketing systems (Zendesk preferred) and knowledge bases (Confluence)

  • Strong analytical thinking and systems mindset to detect inconsistencies and simplify complex workflows

  • Practical dashboard building experience and solid understanding of key Customer Operations metrics (volume, SLA, backlog, CSAT)

  • Clear documentation and communication skills, able to work with technical and non-technical stakeholders

  • Comfortable questioning unclear definitions, taking ownership of metrics, and tolerating iterative improvement processes

  • Fluent English (C1–C2) is required


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    Salary Information

    Salary: 47.000 € - 56.000 €

    🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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