Senior Business Intelligence Engineer

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November 26

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Medical Solutions

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Healthcare Insurance • Recruitment • B2B

Medical Solutions is a leading provider of workforce solutions in the healthcare industry, dedicated to bringing care and support to both job seekers and clients. With a focus on creating a fulfilling work environment, they prioritize employee wellbeing, diversity, inclusivity, and flexibility. Their culture emphasizes personalized growth and community engagement, making them a standout organization in healthcare staffing.

1001 - 5000 employees

Founded 2001

⚕️ Healthcare Insurance

🎯 Recruiter

🤝 B2B

💰 Venture Round on 2015-01

📋 Description

• Design, create and implement comprehensive BI and analytics solutions, and encourage the adoption of self - service analytics throughout the organization • Develop, maintain, and support modern data pipelines while staying informed on data analytics trends and following industry best practices for data warehousing, ETL, ELT, and data analytics • Design and build data solutions and reporting needs with customers and stakeholders. Coordinate with vendors to meet company standards and needs • Ensure the team designs, builds, tests, and maintains solutions for data transformation from a variety of data sources while modeling data in an efficient and performant manner • Document solutions, metadata, and processes to the required company standard • Assist in problem management and root cause analysis • Guide the team to develop and maintain Enterprise Data Lakehouse • Partner with cross - functional Enterprise Data Management and Data Science teams to understand analytic requirements and build efficient and scalable data solutions • Build data expertise and employ best practices in engineering and analytics: data quality, test designs, code reviews, documentation, continuous integration, and continuous delivery • Work with team and product owners to prioritize and estimate effort • Participate in agile ceremonies, including planning, pointing, demos, and retros. • Assist with the DataOps delivery pipeline and processes • Mentor other analysts and data engineers, encouraging flexibility, proactivity, and solution - focused approaches • Participate in architectural design decisions and communicate those to your team

🎯 Requirements

• Bachelor's degree in Data Analytics, Computer Science, Applied Mathematics, Business, or a related field • 5+ years of experience in Business Intelligence, Data Engineering, or analytics • Strong knowledge of data visualization tools and SQL • Strong knowledge of data transformation tools and techniques • Experience building and designing BI semantic models in SSAS tabular with deep knowledge of dimensional modeling (e.g. Ralph Kimball methodologies/Star Schema) • Experience with modern data science languages and tools. Experience with data pipeline tools such as Azure Data Factory (ADF preferred) or Databricks workflows • Experience with data engineering for machine learning consumption • Experience with Azure cloud and Python for data transformation • Strong interpersonal communication skills and a collaborative, team - centric approach • Comfortable using work management tools such as Jira or Azure DevOps • Experience using version control such as Git, TFS, or SVN • Understanding of web services and other Application Programming Interfaces

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options