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Title: Senior Data Analytics Engineer
Location: Charlotte, NC
Duration: 6 months
Work Engagement: W2
Work Schedule: 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Business Execution. Review and analyze complex multi-faceted, larger scale, or longer-term Business Execution challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
Qualifications:
Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
7+ years SQL Very strong SQL demonstrated programming skills with the ability to manipulate volumes of data.
3+ years of Microsoft Power Platform Products – PowerApp (Forms) experience
Data Engineering, Analytics and Visualization
Independent end to end automation project work (from requirements gathering, development, feedback, UAT validation, promotion to PRD)
Project Management Tools
Knowledge and understanding of business intelligence tools (Power BI, Tableau)
Excellent verbal, written, and interpersonal communication skills to be succinct and articulate
Advanced problem solving, critical thinking and technical troubleshooting capabilities
Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important
Ability to execute in a fast paced, high demand, environment while balancing multiple priorities
Experience with JIRA
Desired Qualifications:
PL/SQL Comprehensive knowledge of all things DQL related to Oracle,
BI Tools (Dremio, PowerBi, Tableau and Alteryx)
Hands on Python and Machine Learning libraries.
Cloud/Data Engineering
Ability to develop and manage ETL processes and pipelines
Ability to manager 10+ Dashboards
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