Data Analyst IV

Overview

Perform complex analytical and statistical modeling on large data sets to support various business operations and organizational objectives. Define data requirements, perform data collection, processing, cleaning, analysis, modeling and visualization. Identify data patterns and trends to answer business questions and improve decision making. Identify opportunities to increase efficiency and automation of data analysis processes and procedures. Leads the most complex data analysis with minimal supervision and wide latitude for independent judgment. Considered a key stakeholder/key contributor and subject matter expert on highly complex initiatives and project teams. Reserved for the most highly skilled practitioners with direct accountability for results. Individual contributor and mentor to more junior staff.

Responsibilities

• Evaluate operational efficiency and effectiveness
• Perform qualitative and quantitative data analysis using analytical techniques, tools, models, simulation, etc.
• Solve business problems by defining the problem, interviewing stakeholders, identifying and evaluating alternatives, and presenting findings
• Gather, analyze and synthesize quantitative and qualitative data of business processes to determine and promote data driven business decisions
• Implement new/enhanced products, services and/or operational changes
• Prepare/collaborate on presentations, reports, white papers, etc.
• Interpret results of analysis; present recommendations, alternatives and implications
• Serve on teams and task groups for projects/initiatives within the business unit &/or across the organization
• Analyze processes and workflows to understand value chain, input/output, to improve and/or automate business performance
• Utilize performance measurements and indicators to identify areas for improvement; develop process improvement plans for each performance indicator or area identified
• Mentor and guide lower level team members
• Perform other duties as assigned

Qualifications

• Extensive experience in the application of statistical methods, mathematical techniques, forecasting, cost- benefit analysis, related analytical tools and programming languages
• Extensive experience in problem resolution including determining root cause, scope and scale of issues
• Extensive experience that demonstrates the ability to research, compile, and document data, business processes, and workflow
• Expert knowledge of standard ETL tools and techniques
• Expert knowledge of the process in sourcing raw data and cleansing techniques
• Expert knowledge of emerging trends and influences best practices within discipline
• Advanced knowledge of data warehousing, data cleaning, and other analytical techniques required for data usage
• Expert 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
• Expert in understanding and analyzing models that predict the probability of an outcome
• Expert knowledge of and the ability to perform basic statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques
• Expert knowledge of data models, design tools, business/technical requirements, statistical programming languages, data queries
• Demonstrates a key understanding of multiple database concepts and data flows
• Expert knowledge of various data structures and the ability to extract data sources (such as PySpark, PowerBI)
• Advanced knowledge of mapping techniques and data pipelines
• Expert skill interpreting, extrapolating and interpolating data for statistical research and modeling
• Expert skill analyzing statistics and reports to determine business performance and trends
• Expert skill identifying and analyzing business requirements and recommending solutions
• Effective skill presenting findings, conclusions, alternatives, and information clearly and concisely
• Expert skill in the use of measurement and statistical practices to analyze current and historical data to make predictions, identify risks, and opportunities enabling better decisions on planned/future events
• Expert skill in collecting and manipulating data used in effective decision making
• Expert SQL skills
• Advanced verbal and written communication skills
• Advanced database and presentation software skills
• Advanced word processing and spreadsheet software skills
• Master's Degree in a related field, or the equivalent combination of training, education and experience

Desired Qualification(s)

• Working knowledge of Navy Federal Human Resources policies, procedures, and programs
• Working knowledge of Operational Transaction Processing (OLAP/OLTP) applications and systems
• PMP Certification (or commensurate experience managing corporate-wide projects)

Hours: Monday - Friday, 8:00AM - 4:30PM

Locations: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526 | 141 Security Drive, Winchester, VA 22602

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