Data Analytics Engineer

The Data Analytics Engineer is responsible for designing, developing, and supporting enterprise reporting and analytics solutions that enable data-driven decision-making across the organization. This role combines technical expertise in data integration, data modeling, ETL/ELT development, and Power BI reporting with business analysis, stakeholder engagement, testing, documentation, and operational readiness activities. The Data Analytics Engineer collaborates with business and technical stakeholders to gather requirements, integrate data from multiple enterprise systems, develop scalable reporting solutions, validate data quality, and ensure successful deployment and transition of analytics capabilities into production support. Design, develop, and maintain enterprise reporting, analytics, and business intelligence solutions using Microsoft Power BI. Gather, analyze, document, and validate business and technical reporting requirements. Develop and maintain data models, semantic models, datasets, dashboards, reports, and visualizations. Design, build, and optimize ETL/ELT processes, automated data pipelines, and data integration workflows. Integrate and transform data from multiple enterprise systems and data sources to support reporting and analytics needs. Collaborate with business users, technical teams, and stakeholders to define reporting metrics, KPIs, and data requirements. Create and maintain technical documentation, data dictionaries, process flows, standard operating procedures, and knowledge transfer materials. Provide troubleshooting, issue resolution, and continuous improvement recommendations for reporting environments. Supports enterprise reporting modernization efforts by coordinating with business and technical stakeholders to identify reporting requirements, gather and document data source information, support report and dashboard validation, assist with testing and data quality reviews, and maintain project documentation. May act as a mentor and/or team lead for junior staff. Minimum Qualifications Bachelor's Degree in Information Technology, Computer Science, other relevant field, or equivalent relevant experience; Master's Degree preferred. Advanced computing certification preferred. 8-15 years of experience in Systems Engineering/Analysis. Other Job Specific Skills Experience in data integration, business intelligence, analytics engineering, or data warehousing. Hands-on experience developing reports and dashboards using Microsoft Power BI. Experience with SQL, relational databases, and data modeling. Experience designing and implementing ETL/ELT processes and automated data workflows. Experience integrating data from multiple enterprise systems and data sources. Experience supporting production deployments, troubleshooting, and operational transition activities. Strong analytical, communication, and stakeholder engagement skills.