Data Analyst

Booz Allen Hamilton•Beavercreek, OH

About The Position

The Opportunity: The Data Analyst will work with a team to provide high-quality service to our customers in managing a portfolio of systems. This role is responsible for executing data quality and data asset management activities. This position is a collaborative role that supports analysis and research into data structures, attribution, maintenance, and models to ensure alignment with the organization’s strategic data management direction. The Data Analyst is also responsible for maintaining the visibility and integrity of the portfolio’s data asset inventory by identifying and closing information gaps. The Data Analyst will work within an agile team to provide high-quality service to customers by applying analytical techniques to determine solutions aligned with client requirements within the IT services and solutions scope. The role involves analyzing and reverse-engineering business and technical artifacts to capture, store, and maintain metadata for systems within the portfolio. The Data Analyst may also develop and maintain data quality assessments and data profiles and will work closely with functional and technical data stewards to present findings and recommendations.

Requirements

5+ years of experience in data analysis
Experience with ETL performance optimization or data movement software such as StreamSets, Databricks, or Jupyter Notebooks
Experience using SQL for data analysis, data quality, and data profiling activities
Experience leading small teams of 3–4 personnel
Experience with one or more scripting languages
Experience working with large data sets in enterprise-level data warehousing or data lake environments
Experience creating data mapping documentation for databases, interfaces, and applications
Experience working in Agile development environments and Agile roles
Ability to obtain a Secret clearance
Bachelor’s degree in Computer Science

Nice To Haves

Experience with Air Force Logistics systems and data
Experience with Python
Experience in requirements elicitation
Experience in Information Management, including data design, data transformation, data governance, or DAMA DMBOK-aligned practices
Experience working with and defining data
Experience in logical data modeling and data normalization
Experience interpreting data and analyzing results using statistical techniques
Experience with data collection systems and data collection strategies
Ability to logically articulate ideas verbally and diagrammatically
Possession of excellent written and verbal communication skills

Responsibilities

Analyze operational activities to obtain a quantitative, rational basis for decision making and resource allocation.
Conceptually understand and convey complex topics related to data management, data governance, and data maturity to stakeholders and leadership.
Work with subject matter experts (SMEs) across organizations to collect and update business and technical metadata.
Reverse engineer data models and other design or build artifacts to extract relevant business and technical metadata and load into a metadata repository.
Review submitted data to detect data quality problems and anomalies and assist with correcting current and historical data.
Collect and analyze data and associated system artifacts to support stakeholders in improving business practices.
Perform analysis to determine how data can best be applied to benefit stakeholders.
Develop ETL routines to load and curate disparate data sets.
Analyze and reverse-engineer business and technical artifacts such as data models, data catalogs, design documentation, and interfaces.
Develop and maintain data quality assessments and data profiles.
Collaborate with functional and technical data stewards to present findings and provide recommendations.