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    Data Modeler - Columbus, United States - REQ Solutions

    Default job background
    Banking / Loans
    Description

    Tilte - Data Modeler

    Duration - 3 Months cobntract to hire

    Location - Columbus Ohio

    Only GC and USC can apply

    Client Note:

    • Will work in Cyber data management group doing data modeling for security but does not have to
    • Main Skills: Power BI, Excel, My SQL Cloud Python Java
    • Build data models from data sources. Create stories to deliver value
    • Build data models from different sources, create data visualization to show utilization to show the returned values to the company.
    • moving into a new office, hybrid to start until they settle, then would be in office 5 days a week.

    Preferred Qualifications:


    • Bachelor's or equivalent experience in Computer Science, Data Science, Cybersecurity, or a related field.


    • Proven experience in data modeling, data architecture, or a similar role.


    • Strong understanding of database structure principles and data modeling standards.


    • Experience with data modeling tools such as: Excel, Visio, MySQL, Python, Oracle, Big Query, Talend, Power BI, Axonius.

    Knowledge, Skills, Abilities and Competencies:


    • Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm


    • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives


    • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences


    • Cultivates Innovation: Creating new and better ways for the organization to be successful


    • Drives Results: Consistently achieving results, even under tough circumstances


    • Global Perspective: Taking a broad view when approaching issues; using a global lens


    • Interpersonal Savvy: Relating openly and comfortably with diverse groups of people


    • Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder


    • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels


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