Support the design, development, and enhancement of IBM Quantum's scalable data and analytics platform.
Develop data models, dashboards, reports, and self-service analytics solutions that enable informed decision making.
Apply analytics engineering best practices to improve data reliability, consistency, governance, and accessibility.
Perform advanced data analyses to identify trends, opportunities, and actionable business insights.
Collaborate with internal teams such as Product, Engineering, Client Success, Community, Marketing teams to understand business requirements and translate them into analytical solutions.
Assist in designing and implementing data pipelines and transformations to support reporting and analytical use cases.
Communicate findings and recommendations through clear visualizations, presentations, and written analyses tailored to both technical and non-technical audiences.
Contribute to documentation, knowledge sharing, and continuous improvement of the team's analytics and data engineering practice
Numbers & Facts
Location
NY
Industry
Computer/IT Services
Company Size
10,000 employees or more
Year Founded
1911
Website
http://www-03.ibm.com/employment/us/
About Company
At IBM, you don’t need a degree to shape the future. Just bring your skills—and your passion. To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate.
Not just to do something better, but to attempt things you've never thought possible. To lead in this new era of technology and solve some of the world's most challenging problems. Let’s get to work.
Skills
Analysis Skillsunmatched
Best Practicesunmatched
Communication Skillsunmatched
Continuous Improvementunmatched
Data Analysisunmatched
Data Managementunmatched
Data Modelingunmatched
Data Scienceunmatched
Documentationunmatched
IBM Product Familyunmatched
Marketingunmatched
Product Engineeringunmatched
Reliability Engineeringunmatched
Reporting Dashboardsunmatched
Trend Analysisunmatched
Use Casesunmatched
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