Data Analyst

Diné Development Corporation•Dayton, OH

About The Position

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 management activities in data quality and data asset management. This position is a collaborative role that provides support for analysis and research into our data structures, attribution, maintenance, and models to ensure they align with the organization’s strategic data management direction. This position is also responsible for maintaining the visibility and integrity of the portfolio’s data asset inventory by identifying and closing any information gaps. The Data Analyst will work within an agile team to provide high-quality service to our customers by applying analytical techniques to determine solutions based on client requirements within an IT services/solutions scope. They will analyze and reverse-engineer business and technical artifacts, such as data models, data catalogs, design documentation, and interfaces, to capture, store, and maintain relevant metadata for the systems within the portfolio. This role may also be expected to develop and maintain data quality assessments and data profiles for the systems within the portfolio. As such, they will be expected to work closely with functional and technical data stewards to present their findings and provide recommendations to address any identified issues. This position is contingent upon contract need.

Requirements

5+ years of experience
Bachelor's degree in Computer Science or similar and 5+ years of experience
Must be able to obtain a Secret Clearance
Experience with ETL or data movement software such as StreamSets, DataBricks, Jupyter Notebooks, etc.
Experience using SQL for data analysis, data quality, and data profiling activities
Experience leading small 3-4 person teams
Experience in one or more scripting languages
Experience in ETL performance optimization
Experience working with large data sets in enterprise-level data warehousing/lake environments
Experience creating data mapping documentation for databases, interfaces and applications
Experience with Agile development methodologies and roles

Nice To Haves

Experience with AF Logistics systems and data
Experience with Python
Experience in requirements elicitation
Experience in Information Management, including data design, data transformation, data governance or other major DAMA DMBOK or industry-recognized data management practice
Experience in working with and defining data
Excellent written and verbal communications
Logical thinker; able to articulate thoughts both verbally and diagrammatically
Experience in logical data modelling and data normalization
Experience interpreting data and analyzing results using statistical techniques
Experience with data collection systems and their strategies

Responsibilities

Analyze operational activities to obtain a quantitative, rational basis for decision making and resource allocation
Conceptually understand and convey to stakeholders and leadership complex topics related to data management, data governance, and data maturity
Work with subject matter experts (SME) 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 help the organization correct data: both current and historical
Collects and analyzes data and associated system artifacts for stakeholders to use in perfecting their business practices
Performs analysis to determine how data might best be applied to benefit the stakeholders
Develops ETL routines to load and curate disparate data sets
Other duties as assigned