[Hiring] IT Data Solutions Developer @American Addiction Centers

Role Description

• Analyze, develop, and enhance analytical and operational data solutions/platforms to meet complex business needs.
• Lead metric and/or technical design and documentation efforts in collaboration with operational and IT teams, ensuring alignment with strategic objectives and effective use of data.
• Lead multiple medium to large-scale projects and requests using standard project management tools and methodologies.
• Translate business requirements into well-designed and validated data solutions that support organizational goals including analysis and validation of data from raw source to data solution.
• Provide thorough and accurate documentation for all work, adhering to current industry standards.
• Provide production support for ETL/ELT/data solutions, including problem analysis, design, implementation, and rigorous testing of data models, data integrations (ETL, ELT, API, etc.), and reports.
• Perform data solutions administration activities including training, on call and/or participating in upgrades/changes through all phases with minimal oversight.
• Identify and manage change effectively and efficiently in a changing environment through use of standard processes and tools, working with teammates to utilize change management processes and tools to create plans to support adoption of changes required by project or initiative.
• Stay abreast of healthcare environment, EHR, ERP, Cloud, SQL, and BI technology, and industry trends to build professional skills and drive innovation.
• Mentor junior team members and provide expertise in the analysis and development of Enterprise data solutions.

Qualifications

• Bachelor's degree in computer science or equivalent knowledge.
• Certification(s) may be required or obtained within 6 months and maintained to vendor or department requirements.
• For Epic focused roles, Epic certification(s) in relevant Cogito/reporting application.
• For Workday focused roles, Workday certification(s) in relevant WD reporting application.
• Typically requires 2-4 years of experience in a healthcare or comparable setting working with report, data, or analytics development.
• Experience with enterprise EHR, Rev Cycle, and/or ERP application (depending on role); data/BI tools such as Business Objects, Epic Slicer Dicer, Power BI, Tableau, etc.; database content creation; traditional database platforms; cloud data development platforms; significant SQL, Python, Java or other data manipulation languages; ETL/ELT and data orchestration tools; healthcare knowledge.

Requirements

• Communicate effectively with stakeholders and cross-functional teams at all organizational levels.
• Show excellent analytical and logical thinking, creativity, self-reliance, communication skills, and the ability to work with various components of a system.
• Experience in logical and physical database design, data modeling, complex queries, business intelligence and ETL tools, and change control methodology.
• Strong understanding of data visualization and data storytelling concepts and EHR and ERP workflows and reporting.
• Strong change management skills and understanding of change management processes.
• Work independently or as part of a team and manage multiple priorities while completing tasks efficiently.
• Be a team player with a positive attitude, a strong commitment to customer service, and a willingness to learn healthcare systems and business processes.
• Perform independent analysis on key clinical, financial, ERP, and operational metrics.
• Manage multiple small to medium-sized projects and tasks effectively.
• Mentor and develop junior teammates.
• Create clear documentation to support education and presentation efforts.
• Self-motivated, solution-focused, and able to function with minimal supervision.
• Understanding of software or data development lifecycle and process design.
• Proficiency with Microsoft products, EHR and ERP workflows and reporting, as well as hardware and software systems.
• Knowledge of ETL/ELT tools and principles, supporting robust data integration and transformation processes.
• Maintain technical currency and advanced certifications in specialized areas of responsibility.

Benefits

• Base compensation listed within the pay range based on factors such as qualifications, skills, relevant experience, and/or training.
• Premium pay such as shift, on call, and more based on a teammate's job.
• Incentive pay for select positions.
• Opportunity for annual increases based on performance.
• Paid Time Off programs.
• Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability.
• Flexible Spending Accounts for eligible health care and dependent care expenses.
• Family benefits such as adoption assistance and paid parental leave.
• Defined contribution retirement plans with employer match and other financial wellness programs.
• Educational Assistance Program.