Data Analyst
Summary
Proven record in platform admin functionalities including Installations/ Configuration,
Upgrades, Patches, Change management, Performance tuning, Standards/ Best Practices,
Mentoring, Cluster/Distributed Management, Cache/ History Management, User Management, Scheduling.
Proven ability to interact with ease both senior organizational leadership team and junior support resources in organization, and can work as Technical lead/ System Administrator /Team mentor
Ability to lead multiple BI projects in Technical lead role capacity and effectively manage multiple projects which can be termed as Programs Enterprise Business
Intelligence and Data Integration architecture and technology road map design & management
Experience in setting up COE Shared Service around data warehousing and business intelligence technologies with a global delivery model
Experience in development of complex reports, dashboards using various relational
and agnostic data sources
Experience in setting up and managing an outsource on-shore / off-shore model
Project management, client engagement, resource management using Agile and Waterfall methodology
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Expectations
Working with multiple Enterprise teams to setup environments (Dev, QA, UAT and Prod) which include sizing (Horizontal/ Vertical), scaling (Current and Future needs), performance tuning etc.
Identifying opportunities like tail spend, payment term optimization, cost
benchmarking and external commodity market fluctuations and work with global
category managers to explore, plan and implement relevant solutions.
Creating Data Models in tableau for various business requirements.
Developing Usable data sources in tableau for business users
Employment Preferences
- United States
Expected Base Salary
**,000 USD
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
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