Data Analyst - RJLA #6

Job DescriptionJob DescriptionData Analyst Location: Multiple across LA, USA Job Type: Contract (No Benefits)About the Role We are seeking experienced Data Analysts to collect, analyze, and interpret data for our clients across multiple locations. You will turn complex data into clear insights and reports that support decision-making, and work closely with business teams, technical staff, and client stakeholders.Key Responsibilities Gather, clean, and analyze large datasets from multiple sources to identify trends, patterns, and insightsWrite and optimize SQL queries to extract and manipulate data from relational databasesDesign, develop, and maintain dashboards, reports, and data visualizationsTranslate business questions and requirements into analytical approaches and deliverablesPerform data validation, quality checks, and reconciliation to ensure accuracy and integritySupport data migration, integration, and reporting projectsPresent findings and recommendations to technical and non-technical stakeholdersEnsure data handling meets security requirements and applicable government standardsCollaborate with data engineers, ETL developers, business analysts, and client stakeholdersDocument data definitions, metrics, methodologies, and reporting proceduresRequired Qualifications Proven experience supporting government clients (federal, state, or local agencies)3+ years of professional experience as a Data Analyst or in a similar roleStrong SQL skills and experience with relational databases (SQL Server, Oracle, PostgreSQL)Proficiency with BI and visualization tools such as Power BI, Tableau, or similarAdvanced Excel skills (pivot tables, formulas, data modeling)Solid understanding of data analysis, statistics, and data quality conceptsFamiliarity with secure data handling and compliance frameworks (e.g., NIST, FISMA, CJIS, HIPAA)Strong analytical, problem-solving, communication, and documentation skillsAbility to work independently on-site or hybrid at assigned locationsPreferred Qualifications Scripting or analysis experience with Python or RExperience with data warehousing concepts and ETL toolsExperience with SSRS, Excel Power Query, or cloud data platforms (AWS, Azure, Snowflake)Relevant certifications (e.g., Microsoft Power BI Data Analyst, Tableau, Google Data Analytics)Bachelor’s degree in Statistics, Computer Science, Information Systems, or a related field (or equivalent experience)Ability to obtain a government security clearance or pass a background check