Government and Public Sector - AI & Data - Senior Data Quality Analyst - TS Clearance

EY•Charleston, WV

1d•Onsite

About The Position

From strategy to execution, the Government and Public Sector practice of Ernst & Young provides a full range of consulting and audit services to help our Federal, State, Local and Education clients implement new ideas to help achieve their mission outcomes. We deliver real change and measurable results through our diverse, high-performing teams, quality work at the highest professional standards, operational know-how from across our global organization, and creative and bold ideas that drive innovation. We enable our government clients to achieve their mission of protecting the nation and serving the people; increasing public safety; improving healthcare for our military, veterans, and citizens; delivering essential public services; and helping those in need. EY is ready to help our government build a better working world. EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. We leverage best practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. At EY, our methods are not tied to any specific platforms but rather arrived at by analyzing business needs and making sure that the solutions delivered meet all client goals. The Data Quality Senior Analyst supports the program by ensuring the accuracy, completeness, consistency, and reliability of crime data. This role focuses on data quality analysis, quality assurance, business rules validation, documentation, and methodological review to ensure data is defensible, compliant, and suitable for public release.

Requirements

Must have an active Top Secret clearance and able to maintain
Must have atl least Bachelor's degree
Must have at least 5 years of relevant experience
Must be comfortable working on-site 5-days a week in Clarksburg, WV
Analyzing data sets to identify trends, insights and anomalies
Help our clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices
Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate
Refresh and update Power BI dashboards
Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions
Demonstrating deep understanding of and ability to teach data science, concepts, tools, features, functions, and benefits of different approaches to apply them
Seeking out information to learn about emerging methodologies and technologies
Looking for opportunities for improving methods and outcomes
Applying data driven approach in trying technology solutions to specific business outcomes
Collaborating, influencing, and building consensus through constructive relationships and effective listening
Solving problems by incorporating data into decision making

Nice To Haves

Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, or related disciplines
Communication is essential, must be able to listen and understand the question and develop and deliver clear insights
Experience communicating issues, status and thought leadership to partners and clients
Developing people through effective leadership, coaching, mentoring and performance assessment of all levels of staff

Responsibilities

Perform data quality analysis on incoming data to ensure accuracy, completeness, reliability, and publishability.
Conduct quality assurance reviews of data products, releases, special reports, and supporting documentation.
Analyze business rules, methodologies, and technical specifications to ensure consistency and compliance.
Review and reconcile data across systems to identify inconsistencies, submission errors, and systemic data quality issues.
Evaluate the impact of legislative, policy, and business rule changes on historical and current data and recommend best practices for data rollups.
Support the development, validation, and documentation of estimation methodologies used when reporting thresholds are not met.
Analyze historical and current data to ensure continuity and accuracy across reporting years and evolving definitions.
Identify and document “perceived wrongs” where data may be correct but appears incorrect or biased to stakeholders or the public.
Assess the quality and interoperability of data submitted from diverse Records Management Systems (RMS) and identify RMS-related data trends.
Develop, update, and standardize Standard Operating Procedures (SOPs) and Standard Desktop Procedures for program processes.
Review and support certification and recertification activities through data validation and quality checks.
Collaborate with Data Analysts to validate analytical outputs and Power BI dashboards from a data quality perspective
Provide written analysis and recommendations to leadership to support policy decisions, data releases, and continuous process improvement.