Cloud Data Analyst
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- Software Engineering
- Professional
Cloud Data Analyst
-
- Software Engineering
- Professional
A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions.
Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.
IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive
The development team in IBM Cloud VMware Solutions is responsible for developing and delivering automated VMware virtualization solutions on IBM Cloud to our clients quickly and easily. We are hiring a passionate Data Analyst Team Lead to be part of our dynamic team to help development, operations, and business stakeholders understand, transform, and report on customer and IBM software usage, licensing, and billing.
Your Role and Responsibilities
Qualified candidates will be responsible for:
- Managing a team of direct and indirect data analysts that will help you provide insights into the various business functions we report on
- Building pipelines for automated data processing and report creation using Python, Excel, Amplitude, etc.
- Identifying and gathering data from internal systems on license and billing usage
- Deep diving into data to provide unique insights necessary for us to make key business decisions
- Collaborating with business, development, and operation teams
- Assisting with other data analysis tasks as required across development teams
Required Technical and Professional Expertise
- 5+ years of experience in data analytics, to include experience in the following:
- Data acquisition, processing, storage, and retrieval.
- Data analysis and visualization.
- Communicating key findings to business leaders in the form of high-quality written deliverables and oral briefings
- 2+ years of Team Leadership or Management
- Work assignment tracking
- Work decomposition
- Applying Agile methodologies to generate project timelines
- Advanced skills in Microsoft Excel, to include using formulas, pivot tables, and charts to clean, manipulate, and portray data
- Demonstrated ability to summarize and present complex technical issues in written and graphical manner for a non-technical audience
- Good written and oral communication skills in English
Desired Skills:
- Experience with Cloud based services (SaaS, PaaS, IaaS)
- Experience using Containerized runtimes
- AI/ML model Training
Preferred Technical and Professional Expertise
- A deep passion for data and its accuracy.
- Experience in other data analysis tools like Tableau, Power Bi, or other similar tools
- Experience in Jupyter Notebook, Pandas, and other data modeling libraries and tools
- Experience in evaluating and continuously improving machine learning methods
- 3+ years of experience with Python and REST API programming
- 3+ years of experience with consumption-based cloud infrastructure
Vous voulez savoir ce que c’est que d’être un IBMer ?
About IBM
IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
Détails clés de l’offre
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