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.

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.

Key Responsibilities

Cloud & Data Architecture

• 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.

Data Analytics & Engineering

• 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.

Artificial Intelligence & Machine Learning

• 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.

Data Modeling & Business Intelligence

• 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.

Collaboration & Stakeholder

Support

• 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.

Innovation & Continuous Improvement

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• Experience with AI and machine learning technologies.
• Experience with modern analytics platforms and business intelligence tools.
• Knowledge of enterprise cloud migration and modernization initiatives.
• Experience supporting large-scale government or public-sector data environments.
• Familiarity with data governance, master data management, and data quality frameworks.
• Experience evaluating emerging analytics and database technologies.

Additional Information

• This position supports enterprise modernization efforts focused on cloud adoption, advanced analytics, and data-driven decision-making.
• The selected candidate will play a key role in delivering scalable data solutions that improve organizational reporting, operational efficiency, and business insights.
• The role requires close collaboration with business stakeholders, application teams, DBAs, technical leadership, and enterprise architecture groups.
• This position will help strengthen the organization//'s long-term data strategy while supporting the delivery of innovative analytics and cloud-based solutions.