Data Analyst

One of our government clients is seeking a highly skilled Data Analytics
to support modernization initiatives through advanced data engineering, cloud architecture, analytics, and AI/ML solutions. This role will provide expertise in AWS, Snowflake, Python development, data modeling, and analytical engineering to deliver scalable, modern data solutions that improve organizational decision-making and business outcomes.

Job Title:
Data Analyst

Work Location: Columbus, OH 43229 (Hybrid/Onsite as Required)

The ideal candidate will possess strong experience in cloud-based data platforms, data architecture, analytical modeling, and emerging technologies, with the ability to collaborate across technical and business teams.

• Design, develop, and support scalable cloud-based data solutions using AWS and Snowflake.
• Develop and maintain logical and physical data models aligned with business and technical requirements.
• Support enterprise data architecture initiatives and modernization efforts.
• Ensure data solutions are secure, reliable, scalable, and optimized for performance.
• Design and implement analytical data models that support reporting, dashboards, and business intelligence initiatives.
• Develop complex data pipelines and transformation processes using advanced Python development techniques.
• Support data integration, data quality, and data governance initiatives.
• Create solutions that improve access to accurate, actionable business information.

• Support AI and machine learning initiatives by preparing, modeling, and optimizing data for advanced analytics.
• Collaborate with stakeholders to identify opportunities for predictive analytics and intelligent automation.
• Evaluate and implement emerging AI/ML tools and technologies where appropriate.
• Create logical and physical database designs supporting enterprise reporting and analytics needs.
• Develop analytical frameworks that enhance organizational decision-making capabilities.
• Support reporting, forecasting, and strategic planning initiatives through effective data modeling.

• Partner with business units, application teams, database administrators, analysts, and leadership to deliver high-quality data solutions.
• Gather requirements and translate business needs into technical data and analytics solutions.
• Provide technical guidance and recommendations on enterprise data strategies and best practices.
• Support initiatives that improve service delivery through enhanced data insights and analytics capabilities.
• Research, evaluate, and test emerging database, analytics, cloud, and AI technologies.
• Recommend new tools, architectures, and methodologies to support long-term modernization objectives.
• Drive continuous improvement in data management, analytics, and reporting processes.
• Contribute to the development of enterprise data strategy and future-state architecture.

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field.
• Strong experience with AWS cloud services and cloud-based data architectures.
• Hands-on experience with Snowflake data platform development and administration.
• Advanced Python programming and data engineering experience.
• Strong understanding of:
  • Data modeling (logical and physical)
  • Data warehousing concepts
  • ETL/ELT processes
  • Analytical engineering methodologies
  • Database design and optimization
• Experience developing enterprise reporting and analytics solutions.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication and stakeholder collaboration abilities.

• Experience with AI and machine learning technologies.
• Experience with modern analytics platforms…