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Job Description

M.S. Hall & Associates is seeking a detail-oriented, analytical, and self-directed Data Analyst to help turn healthcare-related data into actionable insights for clients and internal teams. This role supports decision-making through collection, organization, and transformation of data, with collaboration across the organization and occasional client interaction.

Based in Syracuse, NY with hybrid flexibility, the position includes a schedule of Monday-Friday, 8:30 AM - 5:00 PM, with occasional late nights or weekends during busy periods. You will work independently while staying aligned with broader project goals and communicating clearly with both technical and non-technical stakeholders.

What You’ll Do

  • Collect, organize, and transform healthcare-related data into meaningful insights for clients and internal decision-making.
  • Collaborate with internal team members to support ongoing work.
  • May interact with clients via email, phone, and virtual or in-person meetings.
  • Work independently while supporting colleagues and contributing positively to workplace culture.
  • Use sound judgment to identify issues, develop solutions, and escalate when appropriate.
  • Manage multiple assignments by shifting priorities and meeting deadlines effectively.
  • Maintain strong attention to detail while keeping awareness of overall project goals.
  • Communicate clearly and professionally with internal teams and clients.
  • Demonstrate dependable follow-through and comfort with changing direction, tight timelines, new assignments, and constructive feedback.

Requirements

  • Bachelor’s degree or equivalent experience in Mathematics, Business Intelligence, Information Systems, Information Management Technology, Data Analytics, or a related field.
  • Advanced Microsoft Excel skills, including complex formulas, pivot tables, data manipulation, and analysis.
  • Working knowledge of MySQL, including querying, analyzing, and interpreting data.
  • Strong analytical skills with the ability to work with large or complex datasets, identify trends and inconsistencies, and surface opportunities.
  • Strong written and verbal communication skills for technical and non-technical audiences.
  • Must be eligible to work in the United States.

Technologies

  • Microsoft Excel
  • MySQL
  • PHP
  • Python
  • R

Nice-to-Have Skills

  • Programming experience with PHP, Python, R, or similar languages.
  • Statistical analysis and data modeling.
  • Experience with healthcare data, reimbursement, or financial workflows.
  • Exposure to EMR/EHR systems.
  • Knowledge of accounting or finance principles.
  • Experience with large datasets or automated or standardized reporting.

Compensation & Location

  • Salary: USD 55,000 - 62,000 per year.
  • Work location: Hybrid remote in Syracuse, NY 13202.

Benefits

  • Medical, dental & vision coverage.
  • Life & disability insurance.
  • 401(k) with employer match.
  • Paid vacation & sick time.
  • Paid holidays.
  • Flexible work options including downtown Syracuse office with parking stipend, remote, or hybrid.
  • Competitive compensation aligned with experience and skill level.
  • Professional growth through mentorship, cross-training, and increasing responsibility.
  • Supportive, people-focused culture that values collaboration, learning, and work-life balance.
  • Meaningful work that directly impacts healthcare organizations and the communities they serve.
  • Skill development in analytics, healthcare data, reporting automation, and emerging technologies.
  • Long-term stability within a respected and growing consulting firm.
  • Health savings account.
  • Flexible schedule.
  • Work from home.
  • Health insurance.
  • Dental insurance.
  • Vision insurance.
  • Life insurance.
  • Paid time off.
  • Paid sick time.

Application Questions

  • Are you legally able to work in the United States (must be a US Citizen, Permanent Resident, or possess Temporary Work Authorization, and they are unable to sponsor H-1B)?
  • What are your salary requirements?
  • What specifically interests you about this role?
  • Tell us how your current skills and work experience match with this position.

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