Data Analyst - RJLA #6

Data 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 insights
• Write and optimize SQL queries to extract and manipulate data from relational databases
• Design, develop, and maintain dashboards, reports, and data visualizations
• Translate business questions and requirements into analytical approaches and deliverables
• Perform data validation, quality checks, and reconciliation to ensure accuracy and integrity
• Support data migration, integration, and reporting projects
• Present findings and recommendations to technical and non-technical stakeholders
• Ensure data handling meets security requirements and applicable government standards
• Collaborate with data engineers, ETL developers, business analysts, and client stakeholders
• Document data definitions, metrics, methodologies, and reporting procedures

Required Qualifications

• Proven experience supporting government clients (federal, state, or local agencies)
• 3+ years of professional experience as a Data Analyst or in a similar role
• Strong SQL skills and experience with relational databases (SQL Server, Oracle, PostgreSQL)
• Proficiency with BI and visualization tools such as Power BI, Tableau, or similar
• Advanced Excel skills (pivot tables, formulas, data modeling)
• Solid understanding of data analysis, statistics, and data quality concepts
• Familiarity with secure data handling and compliance frameworks (e.g., NIST, FISMA, CJIS, HIPAA)
• Strong analytical, problem-solving, communication, and documentation skills
• Ability to work independently on-site or hybrid at assigned locations

Preferred Qualifications

• Scripting or analysis experience with Python or R
• Experience with data warehousing concepts and ETL tools
• Experience 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