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Data Analytics Hybrid

Data Analytics Hybrid

Shuvel DigitalVienna, VA, US
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Greetings

Our client Navy Federal Credit Union is the world's largest credit union with over 10 million members, over $149 billion in assets, and over 23,000 employees.

Our client is seeking an Data Analytics-15848-Hybrid in Vienna, VA. You seem to have a rock-solid profile and your overall background seems to be a great match for the position.

Please review the below details for clarity on the position description.

Description : General Description

In Lending Strategy, we develop innovative member and team member strategies. Lending Strategy & Innovation is focused on building a culture of innovation and experimentation within the Lending Division.

You should be a strong analytical thinker, detail-oriented and love working with data with a strong background in data analytics

Specific Duties

  • Use analytics for capitalizing on the data for making decisions and achieving better outcomes for the business.
  • Derive insights to differentiate member and team member experiences.
  • Collaborate with cross-functional teams.
  • Design innovating reporting capabilities that provide key insights into cloud adoption, quality metrics and business KPI's.
  • Assist with maintenance of existing reports and work with team members to develop new reports using MS Power BI.
  • Apply experience in analytics, data visualization and modeling to find solutions for a variety of business and technical problems.
  • Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights.

Specific Qualifications

  • Bachelor's degree in computer science, information systems, or other technology-related field or equivalent number of years of experience.
  • Strong analytical and problem-solving skills.
  • 2+ years with analytical and data visualization tools and techniques (Power BI)
  • Experience with data modeling tools (Azure Analysis Services)
  • Experience in effectively communicating analysis and insight to all levels of the organization
  • Experience in eliciting and documenting requirements
  • Proficiency in SQL, R or Python
  • J-18808-Ljbffr

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    Data Hybrid • Vienna, VA, US

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