SSAS (SQL Server Analysis Services) Administration Engineer

Administer and maintain SSAS instances, including multidimensional and tabular models.

Optimize SSAS cube performance, including partitioning, aggregations, and processing schedules.

Implement and manage security roles and permissions within SSAS.

Troubleshoot and resolve issues related to SSAS processing, queries, and connectivity.

Work with data architects and analysts to design and deploy SSAS solutions.

General Responsibilities:

• Monitor system health, performance, and availability of BI tools and services.
• Perform regular backups, updates, and patches for BI tools and related systems.
• Document processes, configurations, and best practices for BI administration.
• Provide technical support and training to end-users and stakeholders.
• Collaborate with cross-functional teams to ensure alignment between BI tools and business objectives.
• Stay informed about industry trends and emerging technologies in BI and data analytics.
• Building Analysis Services reporting models
• Migrating Self-Service Reports From Oracle BI and Tableau To Power BI Self-service
• Migrate Reports and Dashboards from oracle BI to Power BI.

Requirements

Qualifications:

Education:

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience:

• 5+ years of experience in administering and managing Power BI, SSIS, and SSAS.
• Strong understanding of data warehousing, ETL processes, and BI concepts.
• Experience with SQL Server, including T-SQL scripting and database administration.
• Familiarity with data visualization best practices and tools.
• Experience with cloud platforms (e.g., Azure, AWS) is a plus.

Technical Skills:

• Proficiency in Power BI administration, including Power BI Service and Power BI Report Server.
• Expertise in SSIS package development, deployment, and troubleshooting.
• Strong knowledge of SSAS, including cube design, processing, and optimization.
• Experience with data modeling, DAX, and MDX.
• Knowledge of data gateways, dataflows, and Power Query.
• Familiarity with PowerShell scripting for automation tasks.

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Ability to work independently and manage multiple priorities.
• Attention to detail and a commitment to data accuracy and quality.

Preferred Certifications:

• Microsoft Certified: Power BI Data Analyst Associate
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: SQL Server Database Administration