Job Description

YOUR LIFE'S MISSION: POSSIBLE

You have goals, dreams, hobbies and things you're passionate about.

What's Important to You Is Important to Us
We're looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to them-friends, family and passions. And we're looking for team members who are passionate about our mission-making a difference in military members' and their families' lives. Together, we can make it happen.

Don't take our word for it.

• FORTUNE 100 Best Companies to Work For®
• Computerworld® Best Places to Work in IT
• FORTUNE® Best Workplaces for Millennials
• Forbes® America's Best Employers

IND123

Basic Purpose

Develop strategies for data acquisition, archive recovery, and database implementation. Responsible for designing, building, integrating data from various resources, and managing big data. Develop and write complex queries, while ensuring they are easily accessible, work smoothly, with the goal of optimizing the performance of Navy Federal's big data ecosystem. Highly skilled and proficient in discipline, considered senior level position. Conduct complex, essential work under minimal supervision and with wide latitude for independent judgment. Individual contributor and mentor to junior staff.

Responsibilities:

• Provide Business Intelligence (BI) and Data Warehousing (DW) solutions and support by leveraging project standards and leading analytics platforms
• Evaluate and define functional requirements for BI and DW solutions
• Define and build data integration processes to be used across the organization
• Build conceptual and logical data models for stakeholders and management
• Work directly with business leadership to understand data requirements; propose and develop solutions that enable effective decision-making and drives business objectives
• Prepare advanced project implementation plans which highlight major milestones and deliverables, leveraging standard methods and work planning tools
• Analyze and validate data accuracy of report results
• Analyze and interpret collected data; spotting trends; writing reports and recommendations for internal or external clients
• Recognize potential issues and risks during the analytics project implementation and suggest mitigation strategies
• Mentor junior project team members in carrying out analytics project implementation activities
• Prepare high quality project deliverables that are valued by the business and present them in such a manner that they are easily understood by project stakeholders
• Interpret data presented in models, charts, and tables and transform it into a format that is useful to the business and promotes effective decision making
• Use statistical practices to analyze current and historical data to make predictions, identify risks, and opportunities enabling better decisions on planned/future events
• Identify improvements to the way in which analytics services an entire function
• Communicate and own the process of manipulating and merging large datasets
• Key point of contact between the data analyst/data scientist and the project/functional analytics leads
• Apply engineering principles into the design and enhancement of new and existing data management systems
• Ensure the security and integrity of system and product solutions including compliance with Navy Federal, industry engineering and Information Security principles and practices
• Perform other duties as assigned

Qualifications and Education Requirements:

Level II
• Bachelor's degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience
• Advanced skill in Microsoft Excel and Operation Data Integration (OLTP)
• Proficient skill in Microsoft SharePoint, Microsoft Azure, Informatica, MS Office Products, SQL
• Experience with Hadoop, Azure Data Catalog, Microsoft Power BI, Data Architecture, Apache Spark
• Novice skill level in Python, Agile Frameworks (SAFE), Microsoft Databricks, Snowflake, Azure Data Factory, HDInsight, Hive (Apache), Cognos
• Knowledge of and the ability to perform advanced statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques
• Ability to understand the business problem and determine what aspects of it require optimization; articulate those aspects in a clear and concise manner
• Ability to define and analyze complex models that predict the probability of an outcome
• Experience with ETL tools and techniques
• Demonstrated understanding of SQL
• Ability to understand other projects or functional areas in order to consolidate analytical needs and processes
• Demonstrates change management and/or communication skills
• Demonstrates skill in sourcing, maintaining, and updating data
• Knowledge of data warehousing, data cleaning, data pipelines and other analytical techniques required for data usage
• Working knowledge of multiple data related concepts
• Understands various data structures and the ability to extract data from various data sources (such as Cognos, Informatica)
• Knowledge of the concepts and application of data mapping and building requirements
• Understands data models, large datasets, business/technical requirements, BI tools, data warehousing, statistical programming languages and libraries
• Knowledge of various data structures and the ability to manipulate data within visualization tools such as Microsoft Power BI, Tableau
• Ability to manipulate raw data into effective visualization dashboards
• Ability to communicate end to end data outcomes visually
• Ability to manage the process between updating and maintaining data source systems and implementing data related requirements
• Proficient in managing the process between updating and maintaining data source systems and implementing data related requirements

Desired Qualifications and Education Requirements:

• Knowledge of Navy Federal Credit Union instructions, standards, and procedures

Level III
• Master's degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience
• Expert skill in Microsoft Excel and Operation Data Integration (OLTP)
• Advanced skill in Microsoft SharePoint, Microsoft Azure, Informatica, MS Office Products, SQL
• Proficient in Hadoop, Azure Data Catalog, Microsoft Power BI, Data Architecture, Apache Spark
• Novice skill level in Python, Agile Frameworks (SAFE), Microsoft Databricks, Snowflake, Azure Data Factory, HDInsight, Hive (Apache), Cognos
• 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
• Ability to understand the business problem and determine what aspects of it require optimization; articulate those aspects in a clear and concise manner
• Ability to define and analyze highly complex models that predict the probability of an outcome
• Experienced in the use of ETL tools and techniques
• Optimal understanding of SQL
• Ability to understand other projects or functional areas in order to consolidate analytical needs and processes
• Demonstrates change management and/or excellent communication skills
• Experienced in sourcing, maintaining, and updating data
• Understands data warehousing, data cleaning, data pipelines and other analytical techniques required for data usage
• Demonstrates deep understanding of multiple data related concepts
• Working knowledge of various data structures and the ability to extract data from various data sources
• Understands the concepts and application of data mapping and building requirements
• Understands data models, large datasets, business/technical requirements, BI tools, data warehousing, statistical programming languages and libraries
• Demonstrates functional knowledge of data visualization tools such as Microsoft Power BI, Tableau
• Working knowledge of various data structures and the ability to manipulate data within visualization tools
• Ability to manipulate raw data into effective visualization dashboards
• Ability to communicate end to end data outcomes visually
• Skilled in managing the process between updating and maintaining data source systems and implementing data related requirements

Desired Qualifications and Education Requirements:

• Knowledge of Navy Federal Credit Union instructions, standards, and procedures

Hours: Monday - Friday, 8:00am to 4:30pm

Location: 820 Follin Lane, Vienna VA 22180

*Due to COVID-19 and social distancing, this position will be temporarily working from home with plans to return to campus at the desired location listed once Navy Federal is back to normal operations. The specific logistics for returning to campus will be determined at a future date by individual leadership.

Equal Employment Opportunity

Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability

Disclaimer

Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position.

Bank Secrecy Act

Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.