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Data Analytics Project Manager (SAP)

JR United Kingdom

City of Edinburgh

Remote

GBP 70,000 - 100,000

Full time

Yesterday
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Job summary

A leading global consulting partner is seeking a Data Analytics Project Manager with significant experience in managing technical projects. The role involves overseeing data migration and analytics projects, ensuring adherence to best practices while working within various cloud environments. Ideal candidates should have a strong background in project management, data architectures, and hands-on experience with SAP and major cloud platforms. This position offers flexibility with 100% remote working possibilities, aimed at delivering innovative data solutions.

Qualifications

  • 5 years experience in technical project management, specifically in data analytics or legacy data platform migrations.
  • Experience with SAP systems and cloud platforms (AWS, Azure, GCP).
  • Strong leadership and communication skills.

Responsibilities

  • Lead and manage projects related to data migration and analytics.
  • Develop project plans covering scope, timelines, and resource allocation.
  • Coordinate with cross-functional teams for project execution.

Skills

Project Management
Data Analytics
Cloud Platforms
Data Integration
Data Security

Tools

MS Project
Jira

Job description

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Client:
Location:

edinburgh, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

26.06.2025

Expiry Date:

10.08.2025

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Job Description:

Data Analytics Project Manager with SAP experience is required by our fast growing global consulting partner client

100% REMOTE WORKING

Working within Data Services, the successful candidate should have a strong background in managing technical projects related to legacy data platform migration, data lake build, and data analytics across multiple cloud platforms.

This role requires excellent project management skills and technical experience to ensure successful delivery of complex data projects on time and within budget.

Responsibilities:

  • Lead and manage legacy data platform migration (Teradata, Hadoop), data lake build, and data analytics projects from initiation to completion.
  • Develop comprehensive project plans, including scope, timelines, resource allocation, and budgets.
  • Monitor project progress, identify risks, and implement mitigation strategies to ensure successful project delivery.
  • Coordinate with cross-functional teams, including data engineers, data scientists, and IT professionals, to ensure seamless execution of projects.
  • Provide technical guidance and expertise on data migration strategies, data lake architectures, and data analytics solutions.
  • Ensure best practices in data management, data integration, and data security are adhered to throughout the project lifecycle.
  • Collaborate with AWS, Azure, GCP, Databricks, and Snowflake experts to leverage cloud capabilities and ensure optimal performance of data solutions.
  • Act as the primary point of contact for clients, providing regular project updates and addressing any concerns or requirements.
  • Facilitate communication between technical teams and non-technical stakeholders to ensure alignment on project goals and deliverables.
  • Manage stakeholder expectations and ensure high levels of customer satisfaction.

Essential previous experience must include:

  • Minimum of 5 years of experience in technical project management or technical delivery, specifically in data analytics services, legacy data platform migrations, or data lake projects.
  • Strong understanding of data architectures, data integration, and data analytics.
  • Experience with SAP systems and SAP HANA
  • Experience with cloud platforms including AWS, Azure, and Google Cloud Platform (GCP).
  • Experience migrating on premose data platforms to Databricks and Snowflake for data engineering and analytics.
  • Excellent project management skills, with proficiency in project management tools (e.g., MS Project, Jira).
  • Strong leadership, communication, and interpersonal skills.
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