обновлено 4 дня назад
Customer Care Data Lead (Medical Devices)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Customer Care Data Lead (Medical Devices): Establishing data governance, reporting standards, and analytics for an international customer care organization with an accent on business data ownership, metric consistency, and data quality. Focus on validating semantic models and datasets, integrating enterprise data across Salesforce, SAP, AWS, CRM, and ERP systems, and building scalable self-service analytics with SQL, Python, Spark, DAX, and Microsoft Fabric.
Location: Based in either the London or Lisbon office; travel estimated at 10% depending on business needs.
Company
is a medical device company developing the Omnipod insulin management platform and other wearable drug-delivery technologies for people with diabetes and other conditions.
What you will do
- Own Customer Care business definitions, KPI logic, reporting requirements, and metric standards across the international organization.
- Establish data-quality standards, govern the lifecycle of metrics, and investigate discrepancies with IT, Data Engineering, Analytics, and external partners.
- Translate business needs into reporting and analytics requirements and govern semantic models, datasets, dashboards, scorecards, and reporting standards.
- Align reporting with Customer Care processes, map data flows across systems, and identify process gaps affecting reporting quality.
- Drive reporting standardization across regions and operational teams while reducing duplication, manual reconciliation, and inconsistent metric usage.
- Develop documentation, templates, governance routines, and self-service analytics enablement practices.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Data Science, or equivalent experience.
- 5+ years of experience in Data Engineering, Analytics Engineering, or related fields.
- Strong proficiency in SQL, Spark, Python, DAX, and data modelling.
- Hands-on experience with Microsoft Fabric, including Lakehouse, Dataflows Gen2, Pipelines, and Notebooks, and/or Databricks.
- Experience integrating large datasets across Salesforce, SAP, AWS, CRM, ERP, and WFM systems, as well as implementing data-quality and governance procedures.
- Strong problem-solving, communication, collaboration, mentoring, and stakeholder-management skills.
Nice to have
- Experience in healthcare, pharmaceuticals, or medical devices.
- Experience enriching datasets using LLMs.
Culture & Benefits
- Work with cross-functional stakeholders across International Customer Care, Global Insights & Analytics, Business Operations, CTO, IT, and external partners.
- Contribute to a data-driven culture focused on trusted, explainable, and actionable insights.
- Support customer experience excellence through scalable reporting and self-service analytics.
- Travel is estimated at 10% based on business needs.
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