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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

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