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