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Customer CareData Lead

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Insulet Corporation
Full Time position
Listed on 2026-08-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 65000 - 100000 GBP Yearly GBP 65000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Job Summary Opportunity to join Insulet as a Customer Care Data Lead (Senior Data Analyst), playing a key role in shaping data governance, reporting standards, and analytics across our International Customer Care organization. This strategic position combines business data ownership with strong technical expertise in SQL, Python, data modelling, Microsoft Fabric, and enterprise data platforms to deliver trusted, actionable insights that drive decision-making.

Based in either our London or Lisbon office, the successful candidate will partner with cross-functional stakeholders to strengthen data quality, enable scalable reporting solutions, and advance a data-driven culture across Customer Care. Experience in healthcare, pharmaceuticals, or medical devices is advantageous.

Position Overview

The Customer Care Data Lead is responsible for ensuring Customer Care data is clearly defined, consistently used, and aligned to business processes across the International Customer Care organization. This role serves as the business owner for Customer Care data definitions, metric logic, reporting requirements, data-quality expectations, and operational interpretation. The role ensures that Customer Care reporting and analytics reflect how the business operates and that insights are trusted, explainable, and actionable.

Working closely with Global Insights & Analytics, Business Operations, CTO and external partners, the Customer Care Data Lead establishes standards and governance processes that ensure consistency across reporting solutions, semantic models, datasets, and operational metrics. This role requires strong technical expertise in SQL, Python, DAX, data modelling, and modern analytics platforms such as Microsoft Fabric. This technical foundation is essential to review solution designs, validate business logic, influence architectural decisions, and ensure compliance with governance standards.

The role plays a strategic leadership position in driving data quality, metric consistency, reporting standardisation, data literacy, and self-service analytics enablement across International Customer Care organization.

Responsibilities Customer Care Data Ownership & Business Definitions

Own and maintain Customer Care business definitions, KPI logic, reporting requirements, and metric standards. Establish and maintain consistent calculation, interpretation, and usage of metrics across all reporting assets. Partner with stakeholders to define reporting logic, inclusions, exclusions, and measurement methodologies.

Customer Care Data Governance & Quality

Act as the business owner and steward for Customer Care reporting data. Define data quality standards and ensure ongoing accuracy, consistency, and reliability. Partner with IT, Data Engineering, and Analytics teams to investigate data discrepancies and resolve root causes. Govern the lifecycle of metrics, including creation, updates, and retirement.

Reporting & Analytics Enablement

Translate business needs into reporting and analytics requirements. Govern semantic models, dataset structures, and reporting standards. Validate dashboards, scorecards, datasets, and analytical outputs against agreed business definitions. Enable stakeholders to accurately understand, interpret, and use Customer Care metrics.

Cross-System Business Process Alignment

Ensure reporting accurately reflects Customer Care processes, workflows, and business practices. Map data flows across systems and identify process gaps impacting reporting quality. Drive standardization of Customer Care reporting across regions, markets, and operational teams.

Continuous Improvement

Identify opportunities to reduce reporting duplication, manual reconciliation, and inconsistent metric usage. Recommend improvements to reporting processes, data capture practices, and governance routines. Develop and maintain reporting standards, templates, and documentation to support scalable analytics.

Required Skills and Competencies

Autonomous, flexible, and capable of managing multiple technical activities simultaneously in a fast-paced environment. Strong problem-solving skills with the ability to diagnose complex data issues…

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