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 RequirementsBachelor 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