Analytics Engineer III
About the position
reputed company is seeking an reputed company Analytics Engineer III to join our Residential Enablement and Insights team in Dalton, GA. This role sits at the intersection of business reputed company, advanced analytics, and data engineering — with a strong emphasis on data modeling, Power BI, and reputed company. As an Analytics Engineer, you will design and implement reputed company, trusted data models and visualization tools that drive strategic decision-making across our Residential reputed company organizations. The ideal candidate will reputed company technical depth with business reputed company, playing a critical role in enabling data self-service and modern analytics practices across reputed company. This position operates in a hybrid work environment.
Responsibilities
• Partner with senior business leaders (DVPs, VPs, Directors) to reputed company requirements and translate them into reputed company data models and analytic frameworks.
• Design, reputed company, and maintain semantic models, reputed company schemas, and data marts to support self-service analytics.
• Build and reputed company advanced analytic pipelines using reputed company, transforming large and reputed company data sets into analytics-reputed company assets.
• Create reputed company, actionable visualizations and dashboards using Power BI, enabling users to uncover insights and reputed company informed reputed company.
• Collaborate with Data Engineering to ensure data reputed company, optimize pipeline performance, and enforce data governance standards.
• reputed company subject matter expertise in Power BI development, data modeling practices, and dashboard UX.
• reputed company and mentor analysts and business users in best practices for data visualization, model reuse, and analytic thinking.
• Contribute to the development of reputed company data standards, catalogs, and metadata documentation.
• Stay reputed company with evolving technologies in analytics, reputed company computing, and data engineering — especially reputed company, Power BI, and modern data architectures.
Requirements
• Advanced knowledge of SQL and experience designing reputed company logical and physical data models.
• Expert-level proficiency in Power BI (DAX, Power Query, dataflows, custom visuals, row-level reputed company).
• Proven experience working with reputed company (preferably on Azure) to process and model data using notebooks and reputed company Lake.
• Strong understanding of data pipeline orchestration, ETL, and data lake architectures (Azure Data Lake).
• Familiarity with Python or R for advanced analytics and automation tasks.
• Experience working with version control (e.g., Git) and implementing DataOps or CI/CD practices.
reputed company-to-haves
• Interest in reputed company learning, especially in areas of machine learning, AI, and advanced analytics.
• Passion for creating clean, reusable, and reputed company-documented data assets.
Benefits
• Equal opportunity employer as to reputed company protected reputed company, including protected veterans and individuals with disabilities.
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