Decision Support Analyst

TL;DR

Decision Support Analyst (SAS/R/SQL): Developing decision support and reporting solutions by translating data and information requirements into analytical applications, with an accent on complex data modeling, secure delivery of knowledge, and building analytical methods. Focus on leading implementation of recommended solutions and presenting findings to internal and external stakeholders.

Location: Working at Home - Pennsylvania

Company

hirify.global provides healthcare-related services and analytics support for business and clinical decision-making.

What you will do

• Translate decision support and reporting requirements into applications and tools that enable effective business decisions.
• Develop and maintain complex programs using 4GL and database technologies (e.g., SAS, R, SQL; DB2, Teradata, Oracle).
• Model data sources and flows and work with data management staff to define operational, policy, and security frameworks.
• Analyze raw data and statistical results, identify follow-up actions, and prepare written reports and presentations for stakeholders.
• Drive implementation of recommended analytical solutions and define study issues, methods, and technical approaches.
• Mentor colleagues on both technical and business aspects of project and consultative work.

Requirements

• 3+ years of relevant progressive experience in Industrial Engineering or Operations Research (or related field).
• Experience as a Decision Support Analyst (or equivalent) in a business or clinical environment with responsibility for applying technology.
• Strong skills working with large and complex databases and mainframe/PC/Internet-based technologies.
• Strong reporting and office tool skills (e.g., Microsoft Office, Business Objects, Cognos, Enterprise Guide).
• Comfort presenting findings and recommendations to senior management.
• Compliance with HIPAA and company data security and privacy policies.

Culture & Benefits

• Office-based role with working at home in Pennsylvania.
• Travel requirement: 0%–25%.
• Regular training/mentoring responsibilities for colleagues.
• Emphasis on ethical and legal compliance and protection of confidential customer information.

Hiring process

• Application review followed by interviews to assess analytical, technical, and communication skills.
• Evaluation of fit for compliance, data security, and stakeholder-facing responsibilities.