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HeliosX

Senior Operations Analyst

Data AnalysisConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

  • 3–5 years of experience in analytics, with a strong understanding of customer support and operational metrics such as first response and resolution times, SLA adherence, CSAT, contact rate, cost to serve, and automation or self-serve resolution rates.
  • Experience working with multiple data sources and integrating cross-functional datasets to build a holistic operational view.
  • Strong proficiency in manipulating large datasets and optimizing advanced SQL queries.
  • Ability to produce effective measurement plans and data scopes for implementation by Data Engineering.
  • Experience building reusable reporting frameworks and tools that enable stakeholder self-service insight.
  • Strong experience with business intelligence and visualization tools.
  • Hypothesis-driven analytical thinking and the ability to design and execute structured analytical approaches.
  • Ability to synthesize insights across multiple analytical domains into coherent operational narratives.
  • Strong written and verbal communication skills, with the ability to present to technical and non-technical audiences.

Responsibilities

  • Provide analytical oversight across core customer support workflows, including patient screening, customer support ticket interactions, customer support agent performance, and customer support outcomes, CSAT, and Trustpilot.
  • Proactively identify customer experience, compliance, or operational risks and quantify their impact.
  • Act as a trusted analytics partner to senior Customer Support stakeholders.
  • Align on quarterly roadmap initiatives with Customer Support leadership, including leading self-initiated projects with stakeholder buy-in.
  • Scope and structure complex or ambiguous Customer Support and operational questions.
  • Maintain an expert-level understanding of dedicated Customer Support data tables.
  • Translate findings into measurable and defensible insights.
  • Report progress and findings to the Operations Chapter Lead.
  • Design and lead root-cause analyses into operational inefficiencies.
  • Quantify the impact of product, policy, or operational changes.
  • Challenge assumptions and provide alternative interpretations where appropriate.
  • Deliver actionable insights that inform decision-making through clear and compelling storytelling.

Desired Qualifications

  • Experience in healthcare, pharmaceutical, e-commerce, subscription-based, or regulated environments is advantageous.
  • A basic understanding of experimental design and A/B testing principles is desirable.
  • Familiarity with product analytics platforms such as Amplitude or Mixpanel is advantageous.

About the Company

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