Data Modeling Analyst, Sr. jobs in Richmond, VA

The client is seeking a skilled Data Analyst to join their team and play a crucial role in the Data Migration project for the Law Enforcement Administration Management System (LEAMS). As a Data Analyst, you will be responsible for assessing complex data systems and programs, supporting ad-hoc and standing management or customer requests related to data migration.

Experience Required: 3 years or more

Preferred: s/ s

Responsibilities:

• Collaborate with internal teams to understand data needs and objectives.
• Extract, clean, and transform data from diverse sources for analysis.
• Perform data analysis to identify trends, patterns, and anomalies.
• Examine data quality, applications, and functions to ensure accurate migration.
• Produce output and sustain the operation of data migration processes.
• Research new data sources and analytical tools for improved migration strategies.
• Contribute to new product development and enhancements in data delivery and presentation.
• Interpret data, analyze results using statistical techniques, and provide ongoing reports.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Generate visualizations and reports for stakeholders.
• Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Collaborate with the LEAMS team to perform a proper audit of active files during the migration.

Qualifications:

• Proven experience as a Data Analyst or related role.
• Technical expertise regarding data models, database design, data mining, and segmentation techniques.
• Strong knowledge of and experience with reporting packages and databases (SQL, etc.).
• Proficient in programming languages (Python, R, etc.) is a plus.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, report writing, and presenting findings.
• Strong knowledge of Microsoft Office with emphasis on Microsoft Excel.

Education and Experience:

Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Computer Science).