Data Operations Lead: Insights, Automation & Analytics

AstraZeneca

Greater London

In loco

GBP 70.000 - 90.000

Tempo pieno

3 giorni fa
Candidati tra i primi
Generatore di candidature

Una candidatura su misura per questa offerta di lavoro — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

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Descrizione del lavoro

AstraZeneca in London seeks a Data Operations Manager to shape the commercial data and reporting ecosystem, driving automation and scalable dashboards. You will partner with Commercial Effectiveness, Business Operations, BI&A and CRM teams to deliver trusted insights and efficient processes that improve customer engagement, segmentation and performance.

The role emphasizes data quality, governance and cross-functional collaboration to transform complex data into practical, decision-ready outputs

Competenze

  • Bachelor's degree or equivalent; experience in data analytics and reporting.
  • Proven ability to transform data into actionable insights for commercial teams.
  • Experience with BI tools, data governance and KPI dashboards.
  • Background in pharmaceutical or healthcare data environments is preferred.

Mansioni

  • Own and continuously improve commercial data, reporting and automation.
  • Lead segmentation, targeting, territory alignment and incentive reporting.
  • Partner with BI&A, Commercial Ops and CRM teams to ensure data quality.
  • Translate business questions into data products and performance insights.

Conoscenze

Advanced Excel
Power BI
Data analytics
Stakeholder engagement
Data governance
Problem solving
AI analytics
Pharma knowledge

Formazione

Bachelor's degree

Strumenti

Veeva CRM
Salesforce

Descrizione del lavoro

AstraZeneca in London seeks a Data Operations Manager to shape the commercial data and reporting ecosystem, driving automation and scalable dashboards. You will partner with Commercial Effectiveness, Business Operations, BI&A and CRM teams to deliver trusted insights and efficient processes that improve customer engagement, segmentation and performance.

The role emphasizes data quality, governance and cross-functional collaboration to transform complex data into practical, decision-ready outputs

Ottieni la revisione del curriculum gratis e riservata.

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