Summer Associate Internship (Data/Program Analyst - Compliance)

The Summer Associate role will be a part of the Technology & Optimization team within the Compliance & Public Policy division. The team offers automated solutions for compliance processes and reporting by providing toolsets, guidance, training, and data-driven insights. The objective of the team is to centralize, automate, and enhance Compliance processes in each section while standardizing the approach so that each team across various sections can mutually benefit from cross-collaboration.

The Summer Associate will work together with a team of project managers, business intelligence analysts, and data scientists. The team possesses a wide range of expertise ranging from analytics, data science, reporting, to project and process management. The role will have opportunities to work across various teams within the department. It will be essential for the candidate to be a problem solver, quick learner, and self-starter in order to identify opportunities to support and develop solutions.

The candidate would be responsible for assistance with researching, defining, and enforcing data automation solutions from various databases and sources (on-prem databases, Azure Data Lake, Application Service Layer). The candidate will also perform qualitative and quantitative analysis of Compliance’s data usage to identify areas of efficiency. Based on the data discovery, the candidate will be responsible for leading process improvement meetings and breaking down complex technical concepts to a non-technical audience.

• Develop, maintain, and manage reporting, dashboards, data models and analytical results
• Evaluate and define functional requirements for analytics and business intelligence (BI) solutions
• Ensure effective management of projects from inception through implementation
• Retrieve, analyze and validate data and test accuracy of reported results
• Work directly with project leads to understand requirements and propose key analytics solutions to drive effective decision-making and influence business objectives
• Produce actionable reports that demonstrate key performance indicators, identify areas of improvement for current operations, and show root cause analysis of problems
• Analyze and summarize business operations, customer and/or economic data in order to improve business intelligence, optimize operating effectiveness and predict business outcomes
• Identify trends and patterns in business data; create data visualizations to support business decision making
• Build new and/or modify existing database/data warehouse/data mart and business intelligence solutions to meet business and system requirements
• Collaborate with business units and senior management to conduct needs assessment to support business unit objectives
• Support complex Data Science and Big Data projects
• Effectively communicate data outcomes to business stakeholders and leadership
• Review project deliverables for quality, accuracy and compliance with Navy Federal policies and procedures
• Ensure project deliverables are met in accordance with customers' expectations, timelines & budget constraints
• Identify and resolve operational and performance gaps and obstacles; implement changes and improvements
• Perform other duties as assigned

• Currently pursuing a graduate degree in Data Science, Data Analytics, Computer Science, or other related degree
• Significant experience in project leadership and execution
• Significant experience in problem resolution including determining root cause, scope and scale of issues
• Proficiency in understanding and communicating data presented in models, charts, and tables and transforming it into a format that is useful to the business and aids effective decision making
• Proficiency in understanding and analyzing models that predict the probability of an outcome
• Effective skill in collecting and manipulating data used in effective decision making
• Effective skill identifying and analyzing business requirements and recommending solutions
• Effective skill presenting findings, conclusions, alternatives, and information clearly and concisely
• Advanced verbal and written communication skills
• Advanced database and presentation software skills
• Advanced word processing and spreadsheet software skills

Technical Skills: 

• Advanced skill in Data Management, Data Validation/Cleansing, and Information Analysis
• Advanced skill in Python, SQL, and Data Querying (able to pull/transform data)
• Advanced skill in interpreting, extrapola