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
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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.
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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