> Markdown version of [/jobs/ext/4006419-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/4006419-senior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** Georgia IT Inc. - **Location:** Houston, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Application Performance Management, Data Governance, Data Hub, Data Infrastructure, Relational Databases, Amazon DynamoDB, Executive Information Systems, PostgreSQL, NoSQL, Power BI, SQL Databases, Sql Optimization, Powerquery - **Published:** October 29, 2026 - **Apply:** https://www.thejobnetwork.com/job/c07be42a-236b-4720-9072-3b85a7738bf3/senior-data-analyst ## About the Role * 8 years of experience as a Data Analyst or Business Intelligence Analyst. * 5 years of hands-on experience with Power BI. * Strong expertise in: + Power BI Desktop + Power BI Service + Data Modeling + DAX + Power Query (M) * 5 years of advanced SQL experience. * Experience with PostgreSQL or other relational databases. * Experience working with AWS cloud data environments. * Strong knowledge of DynamoDB or other NoSQL databases. * Experience creating executive dashboards and KPI reporting. * Excellent analytical, problem-solving, and stakeholder communication skills. ## Description * Design, develop, and maintain enterprise Power BI dashboards and reports. * Gather business requirements and translate them into scalable analytics solutions. * Develop robust Power BI data models, datasets, and semantic models. * Create advanced DAX measures, calculations, and optimized reports. * Analyze data from PostgreSQL, DynamoDB, AWS-hosted systems, and Unified Data Hub (UDH) environments. * Integrate Real User Monitoring (RUM) and Application Performance Monitoring (APM) metrics into dashboards. * Validate data quality, troubleshoot inconsistencies, and perform root cause analysis. * Partner with engineering teams to resolve data issues and improve reporting accuracy. * Define KPI standards and support enterprise data governance initiatives. * Provide technical leadership and mentor junior analysts on Power BI best practices.