Senior Data Analytics Engineer (contract)

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