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My Ideal Position
Accounting and Finance
Work With Accrue!
My Ideal Location
Data Engineer in Charlotte,
THE TEAM YOU WILL BE JOINING:
PE Backed services company supporting skilled trades that has seen tremendous growth through acquisitions.
Multi state presence with more than 22 companies within their portfolio.
Culture is an employee-oriented, high performance, innovating organization, emphasizing empowerment, quality, productivity, and high integrity standards.
WHAT THEY OFFER YOU:
Company offers upward mobility and promotion from within.
Exposure to management and a team-oriented work environment.
Strong culture in valuing and appreciating their employees.
WHAT YOU WILL DO:
Build out reporting and analytics capabilities, and grow business intelligence capabilities at the Branch-Level, as well as across the organization
Select analytics platforms and data warehousing solutions, and manage 3rd parties to help setup and maintain capabilities
Develop dashboards for different audiences, and train branches to customize dashboards for themselves
Integrate and link newly acquired brands to analytics platforms
Optimize data workflows to improve efficiency, reducing processing time and enhancing overall system performance
Remain current with advancements in technologies and proactively identifies opportunities for innovation and recommends their implementation
Deliver high-quality and accurate data, ensuring reliable and timely availability of data to stakeholders by assigned deadline
HOW WILL YOU QUALIFY:
5+ years of professional experience in data visualization, data integration, ETL processes, data modeling, data warehousing, and/or data governance
Proven-experience leading projects and working with outside vendors
Multiple years of hands-on experience with Power BI, Tableau, or comparable tool
Proficiency in programming languages such as Python or SQL.
Understanding of data quality principles and experience with implementing data quality checks and validation processes.
Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, or a related field.
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