Senior Data BI Analyst

Key Responsibilities Dashboard Report Creation: Develop, maintain, and optimize BI dashboards using tools like Power BI, Tableau, and AWS Quick Sight. Data Modeling Processing: Design and build efficient data models and processes using SQL, Azure Data Factory, and Fabric to support scalable data solutions. Advanced Analytics Machine Learning: Apply machine learning and predictive modeling techniques to generate insights for strategic decision-making. Azure AI/ML Studio preferred. Cross-Functional Collaboration: Work closely with stakeholders, Finance Data Specialist and/or management to understand their requirements, translate documented business needs into data solutions, and clarify any ambiguities. Data Quality Governance: Ensure data integrity and governance through regular audits and data quality checks, collaborating with domain teams to promote data mesh principles. Experience Requirements 7+ years in BI and data analytics, with hands-on experience across finance, sales, and marketing domains. Strong Experience with Microsoft tools such as Azure Data Lake, Azure Data Factory, and Azure functions for data processing. Strong in SQL , query writing, and ETL processes. Familiarity with Agile methodologies and version control (Git) for efficient project execution. Experience with Great Plains, OneStream and, CSG is a plus. Experience in BI tools (Power BI, Tableau, AWS Quick Sight) for dashboarding and reporting is a plus. Education Certification Requirements Bachelor s degree in data science, Computer Science, Engineering, or a related field. Preferred Certifications: Microsoft Certified: Power BI Data Analyst Associate Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Power Platform Solution Architect Expert Microsoft Certified: Fabric Analytics Engineer Associate