Senior DataBI Analyst

(PACS) Providence Administrative Consulting Services, Inc.

United States

On-site

USD 100,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Health coverage
PTO and vacation
401(k) with company contributions
HSA/FSA
Employee Assistance Plan (EAP)

Job summary

PACS is seeking a Data / Business Intelligence Analyst to join our team. You will design, build, and maintain scalable data pipelines, models, and dashboards using Power BI and SQL, turning complex data into reliable insights for decision makers.

The role requires Python expertise, strong SQL, and hands-on experience with Microsoft Fabric or Delta Lake. You will collaborate with stakeholders, own data infrastructure, enforce governance, and produce repeatable analyses that guide strategy

Qualifications

  • Bachelor’s degree in a quantitative or technical field preferred.
  • 3-5 years of experience in a data analytics, data engineering, or BI analyst role.
  • Proven ability to build and manage data pipelines independently, from ingestion to reporting.
  • Proficiency in Python, including scripting, notebooks, and data manipulation libraries.

Responsibilities

  • Design, build, and maintain scalable data pipelines using Microsoft Fabric/Delta Lake medallion architecture.
  • Develop and optimize SQL queries for data retrieval, transformation, and analysis.
  • Create and maintain data models that support accurate, consistent reporting across the business.
  • Build and maintain reports and dashboards in Power BI or comparable BI tools.
  • Write DAX measures and calculations to support complex business metrics.
  • Collaborate with stakeholders to understand data needs and translate them into technical solutions.
  • Ensure accuracy, reliability, and governance of data across all pipelines and reports.
  • Troubleshoot data and issues and proactively identify opportunities for improvement.
  • Document data models, pipeline logic, and reporting standards.
  • Stay current with best practices in data engineering, analytics, and the Microsoft Fabric ecosystem.
  • Write Python scripts and Jupyter notebooks for data extraction, transformation, and automation.

Skills

Python
SQL
Data pipelines
Data analysis
Microsoft Fabric
Delta Lake

Education

Bachelor's degree in a quantitative or technical field

Tools

Microsoft Fabric
Delta Lake

Job description

About Us

PACS is revolutionizing the delivery, leadership, and perception of post-acute healthcare and support services nationally. We’re growing fast and are looking for a skilled Data / Business Intelligence Analyst to join our team. We need someone who can build independently, take ownership of data infrastructure, and turn complex datasets into reliable, actionable insights.

Responsibilities
  • Design, build, and maintain scalable data pipelines using Microsoft Fabric/Delta Lake medallion architecture.
  • Develop and optimize SQL queries for data retrieval, transformation, and analysis.
  • Create and maintain data models that support accurate, consistent reporting across the business.
  • Build and maintain reports and dashboards in Power BI or comparable BI tools.
  • Write DAX measures and calculations to support complex business metrics.
  • Collaborate with stakeholders to understand data needs and translate them into technical solutions.
  • Ensure accuracy, reliability, and governance of data across all pipelines and reports.
  • Troubleshoot data and issues and proactively identify opportunities for improvement.
  • Document data models, pipeline logic, and reporting standards.
  • Stay current with best practices in data engineering, analytics, and the Microsoft Fabric ecosystem.
  • Write Python scripts and Jupyter notebooks for data extraction, transformation, and automation.
Requirements
  • Bachelor’s degree in a quantitative or technical field preferred.
  • 3-5 years of experience in a data analytics, data engineering, or BI analyst role.
  • Proven ability to build and manage data pipelines independently, from ingestion to reporting.
  • Proficiency in Python, including scripting, notebooks, and data manipulation libraries (e.g., pandas, PySpark).
  • Expert-level SQL skills, including complex joins, CTEs, window functions, and performance tuning.
  • Hands-on experience with Microsoft Fabric and/or Delta Lake environments.
Pay Range

Pay Range: $100-130k DOE

Physical Demands

Prolonged periods of sitting and working at a computer workstation. Frequent use of hands and fingers for keyboarding, mouse operation, and other computer-related tasks. Frequent viewing of computer monitors and other electronic devices requiring close visual acuity. Ability to communicate effectively in person, by telephone, and through virtual meeting platforms. Occasionally required to stand, walk, bend, reach, or lift and carry items weighing up to 15 pounds, such as laptops, monitors, office supplies, or files. Ability to maintain focus and concentration while analyzing data, reviewing reports, and performing detailed technical work for extended periods. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.

Join PACS: Elevate Healthcare with Us!

PACS is elevating healthcare by revolutionizing our approach to leadership and quality care. Guided by our core values of love, excellence, trust, accountability, mutual respect, and commitment, we strive to foster a culture of compassionate care within our teams and the communities we serve. As we grow rapidly, exciting opportunities await you to engage in impactful projects and contribute valuable insights to stakeholders nationwide. If you're ready to make a difference and embrace our mission of creating real change, we invite you to join us at PACS. Together, let’s shape the future of healthcare!

Join Our Team and Thrive!

At PACS, we believe our employees are our greatest asset. That’s why we offer an exceptional benefits package designed to enhance your well-being and support your lifestyle. Our Comprehensive Benefits Include

  • Health Coverage: Enjoy medical, dental, and vision plans to keep you and your family healthy.
  • PTO and Vacation: Benefit from generous paid time off and holidays to relax and recharge.
  • Financial Wellness: Take advantage of Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) to manage your healthcare expenses effectively.
  • Retirement Planning: Secure your future with our 401(k) plan, complete with company contributions to help you build your retirement savings.
  • Support When You Need It: Our Employee Assistance Plan (EAP) provides confidential support for personal and professional challenges.

Join us at PACS and take advantage of a workplace that truly values you!

We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants of every race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, and any other protected characteristic. Employment decisions are based on qualifications, merit, and business needs.

PACS is revolutionizing the delivery and leadership of post-acute healthcare and support services across the country. Originally founded in 2013, the organization now consists of hundreds of independent operating subsidiaries, as well as ancillary and support services. We bring a proven model of mission-driven care that balances access to a national network of support and resources with local decision making. In addition, PACS helps connect exceptional people with premier healthcare careers across the country. We focus on finding innovative and effective team members based on their qualifications, experience, geographic preferences, and personality fit with the existing facility staff and culture. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants of every race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, and any other protected characteristic. Employment decisions are based on qualifications, merit, and business needs.

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