Human Resources Data Analyst

Job description:

Advanced Reconstructive Surgery Alliance (ARSA) and its affiliates TPSC, SMM and TCOPS are the largest Plastic Surgery medical practice in the country. Our expanding team of top tier physicians, coupled with our continued medical advancements, allows us to offer patients extraordinary clinical services with 5-star experience. We have a bold vision with a desire to revolutionize the industry; meeting patient needs while favorably transforming their lives. Common across the enterprise is not only the commitment to providing safe patient care, but to employee satisfaction and growth opportunities. It is a culture of teamwork, respect and appreciation for all employees—whether caring for patients directly or working in a support role.

Sycamore Medical Management is seeking a
*HR Data Analyst*

Responsibilities:

• Analyze HR data (headcount, turnover, compensation, engagement)
• Partner with HR and leadership to provide data-driven insights and actionable recommendations
• Ensure data accuracy, integrity, and confidentiality in our HRIS system
• Conduct ad hoc analyses to answer business questions and improve HR processes
• Identify opportunities to streamline reporting and automate data workflows
• Monitor key HR KPIs and create regular reporting packages for leadership
• Assist in HR system implementations, upgrades, and data audits
• Running reports and reporting analysis

Qualifications:

• Bachelors Degree in Business, Finance or Human Resources preferred

-Expert in Excel

• Experience with HRIS platforms

Compensation & Benefits:

• Pay Range: $60,000-$67,000

*the starting rate within this range for this role varies depending on a number of factors, including a candidate’s qualifications, skills, competencies, experience, and location.*

• Medical, Dental, Vision, Life, HSA and Long-Term Disability insurance
• 401k and Profit sharing
• Paid Time Off
• Mileage Reimbursement
• Contribution to Health Benefits
• Company Discounts on Products & Services

Job Type: Full-time