Enterprise Analytics Engineer - Power BI & Data Pipelines

ASM Research, An Accenture Federal Services Company; Montgomery (AL); On-site; USD 150,000 - 180,000; Full time

Job summary

ASM Research, an Accenture Federal Services company, is seeking a Data Analytics Engineer to design, develop, and support enterprise reporting and analytics solutions that enable data-driven decisions across the organization.

The role combines Power BI reporting with data integration, modeling, and ETL/ELT development, engaging stakeholders, testing, documentation, and production readiness activities.

Qualifications

• Bachelor's Degree or equivalent; Master's preferred.
• 8-15 years of Systems Engineering/Analysis experience.
• Experience with data integration, BI, analytics engineering, or data warehousing.
• Hands-on Power BI development, dashboards, reports.

Responsibilities

• Design, develop, and maintain enterprise reporting and analytics using Power BI.
• Gather, analyze, document, validate reporting requirements.
• Develop data models, semantic models, datasets, dashboards, reports, and visualizations.
• Design, build, and optimize ETL/ELT processes and automated data workflows.
• Integrate data from multiple enterprise systems to support reporting needs.
• Collaborate with stakeholders to define metrics and data requirements.
• Create technical documentation and data dictionaries.
• Provide troubleshooting and continuous improvement for reporting environments.
• Support reporting modernization efforts and production deployment.

Skills

Data integration

BI reporting

ETL/ELT development

Data modeling

Stakeholder engagement

Testing

Education

Bachelor's Degree in Information Technology / Computer Science

Master's Degree preferred

Tools

Power BI

SQL

Job description

ASM Research, an Accenture Federal Services company, is seeking a Data Analytics Engineer to design, develop, and support enterprise reporting and analytics solutions that enable data-driven decisions across the organization.

The role combines Power BI reporting with data integration, modeling, and ETL/ELT development, engaging stakeholders, testing, documentation, and production readiness activities.