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- Tasks: Lead exciting data projects from start to finish, ensuring timely delivery and budget adherence.
- Company: Join a fast-growing global consulting partner that values innovation and collaboration.
- Benefits: Enjoy 100% remote work flexibility and a dynamic work environment.
- Why this job: Make an impact in the data analytics field while working with cutting-edge technologies and diverse teams.
- Qualifications: 5+ years in technical project management, with expertise in data analytics and cloud platforms.
- Other info: Be the key contact for clients, enhancing your communication and leadership skills.
The predicted salary is between 43200 - 72000 £ per year.
Data Analytics Project Manager with SAP experience is required by our fast growing global consulting partner. 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-premise 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.
Data Analytics Project Manager (SAP) employer: Bison Global Technology Search
Contact Detail:
Bison Global Technology Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Project Manager (SAP)
✨Tip Number 1
Network with professionals in the data analytics and project management fields. Join relevant online forums or LinkedIn groups where you can connect with others who have experience in SAP and cloud platforms. This can help you gain insights into the role and potentially get referrals.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in data analytics, especially those related to SAP and cloud platforms like AWS, Azure, and GCP. Being knowledgeable about current tools and methodologies will make you stand out during discussions with potential employers.
✨Tip Number 3
Prepare to discuss your previous project management experiences in detail, particularly those involving legacy data migrations and data lake builds. Be ready to share specific examples of how you managed risks and ensured successful project delivery.
✨Tip Number 4
Showcase your leadership and communication skills by engaging in mock interviews or discussions with peers. Practising how to convey complex technical concepts to non-technical stakeholders will demonstrate your ability to bridge the gap between teams, a key aspect of this role.
We think you need these skills to ace Data Analytics Project Manager (SAP)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics project management, especially with SAP and cloud platforms. Use specific examples of past projects that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, emphasise your technical expertise and project management skills. Mention your experience with legacy data platform migrations and how you can contribute to the company's success.
Highlight Relevant Skills: Clearly list your skills related to data architectures, data integration, and analytics. Include any specific tools or methodologies you are proficient in, such as MS Project or Jira.
Showcase Leadership Experience: Provide examples of how you've led cross-functional teams in previous roles. Highlight your ability to communicate effectively with both technical and non-technical stakeholders.
How to prepare for a job interview at Bison Global Technology Search
✨Showcase Your Project Management Skills
Be prepared to discuss your previous project management experiences in detail. Highlight specific projects where you successfully managed timelines, budgets, and resources, especially those related to data analytics and cloud platforms.
✨Demonstrate Technical Knowledge
Familiarise yourself with the technical aspects of data migration, data lakes, and analytics solutions. Be ready to explain your understanding of SAP systems, AWS, Azure, and GCP, as well as any relevant tools like Databricks and Snowflake.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare examples of how you've identified risks in past projects and the strategies you implemented to mitigate them, particularly in complex data environments.
✨Communicate Effectively with Stakeholders
Since this role involves liaising with both technical teams and non-technical stakeholders, practice explaining complex concepts in simple terms. Show that you can bridge the gap between different groups and manage expectations effectively.
