Senior Data Analyst - Springstone Inc

At Lifepoint Behavioral Health, we specialize in compassionate behavioral health services, including crisis stabilization for acute mental health and substance use disorders. Our philosophy is built on a psychosocial model of care and follows the core principles of resilience, recovery and restoration. Our teams are committed to providing superior patient care that exceeds industry standards as well as patient expectations.

Benefits

Affordable medical, dental and vision plans provided to meet the needs of full employees and their families

Up to 16 days of PTO for full time employees

6 paid holidays for full time employees

Tuition reimbursement

401(k) retirement plan

Flexible spending and health savings accounts

UKG Wallet - We've partnered with UKG Wallet, a voluntary Earned Wage Access benefit, to offer employees access to their pay on their own schedule

What you will do in this role:

• Manage report development lifecycle including requirements, design, development, testing, and support.
• Integrate and validate data from various interfaces for consistency and accuracy.
• Translates business requirements into detailed technical design, programming specifications and development of user-friendly BI solutions and self-service portals.
• Documents Business Intelligence and report-related activities including user requests, report specifications, development, modifications, testing and on-going production support.
• Design and develop complex custom reports and dashboards which meet user expectations per defined requirements, using predominantly Power BI reporting platform with little or no supervision.
• Troubleshoot and analyze data issues within reports.
• Perform other duties as assigned.

Qualifications:

• Education: bachelor’s degree in information systems, Business Administration, or Computer Science
• Experience: Minimum 5 years of experience.
• Solid Technical Aptitude in: Power BI (Power Query, Power Pivot, Power BI Desktop, Power BI Website, and Power Mobile Apps), DAX, SQL, Excel, Microsoft Office Suite
• Preferred, not required: Python, R, Google Looker, Business Objects
• Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, data presentation techniques, ETL and reporting/analytic tools and environments, data structures and extensive SQL coding.
• Experience in general reporting methodologies, including charts, scheduled delivery of reports, ad-hoc execution of reports, metadata, drilldowns and cubes, required.