Senior Analytics Engineer collaborating with data scientists using Microsoft BI tools. Developing SQL queries and Python processes for data analysis and reporting across operational, clinical, and financial domains.
Responsibilities
Uses Microsoft Business Intelligence tools, primarily Microsoft SSMS, SSAS, and SSIS to maintain BI data structures
Supports Data Scientists with Microsoft SQL queries, ETL processes and Python
Works with end users, analysts, technical staff, and team members to enhance business intelligence capabilities
Assists with maintaining and troubleshooting issues with existing cubes, queries and processes
Develops efficient Microsoft SQL queries and data processes for Data Scientists in support of Machine Learning and Artificial Intelligence
Creates clear documentation for users and technical staff
Serves as project manager for relevant analytics projects
Provides training and mentorship to team, and end users on reporting systems and databases
Requirements
Bachelor's Degree Computer Science required or Bachelor's Degree Information Systems required
Experience as a business intelligence developer or a similar role 5-7 years required
Python experience and SSIS highly preferred
BI SSAS cube development experience
Proficiency in SQL and experience with relational databases (e.g., SQL Server, Oracle, MySQL)
Exposure to Azure
Expertise in Microsoft Business Intelligence data engineering tools (SSMS, SSAS and SSIS)
Expertise in business intelligence and data visualization tools such as Microsoft PowerBI or similar
Solid understanding of data warehousing concepts, dimensional modeling, and ETL best practices
Knowledge of programming languages (e.g., Python, R) and statistical analysis techniques is a plus
Excellent analytical and problem-solving skills
Benefits
Health Insurance
Career advancement opportunities
Recognition programs designed to celebrate your contributions and support your professional growth
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