Data Analyst

eBusiness Solutions Inc.; Columbus (OH); Hybrid; USD 75,000 - 110,000; Full time

Job summary

eBusiness Solutions Inc. in Columbus, OH is seeking a Data Analyst to accelerate modernization through cloud-based data engineering, analytics, and AI/ML solutions.

The role emphasizes AWS, Snowflake, Python development, data modeling, and analytical engineering to deliver scalable data platforms and actionable business insights. You will collaborate across technical and business teams to design data architectures, implement robust pipelines, ensure data quality and governance, and support

Qualifications

• Bachelor’s degree in CS, IS, Data Science, Engineering, or related field.
• Strong AWS cloud services experience and cloud-based data architectures.
• Hands-on 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.

Responsibilities

• 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/ML 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.

Skills

AWS cloud

Snowflake

Python

Data modeling

Data warehousing

ETL/ELT

Analytical engineering

Enterprise reporting

Communication

Stakeholder collaboration

Education

Bachelor's degree in CS/IS/DS/Engineering

Tools

Snowflake

AWS

Job description

One of our government clients is seeking a highly skilled Data Analyticsto 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.

Key Responsibilities

• 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.

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.
• 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.
• 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.