Jobs at Oasis Outsourcing

We are seeking a detail-oriented and motivated professional with a background in Accounting or HR, and extensive experience in employee benefits administration. This is a back-office role focused on ensuring accuracy, compliance, and efficiency across payroll-related processes, data management, and reporting. The ideal candidate is proactive, accurate, and eager to learn new systems and processes. 

 Responsibilities:

• Review and reconcile system invoices.
• Perform accurate data entry, data cleaning, and report generation (Excel).
• Reconcile balances between Employee Navigator and payroll software, ensuring collected and deducted amounts align.
• Verify employee enrollments and confirm termination enrollments, including collection of any remaining balances for the month.
• Ensure accuracy of payroll-related deductions and processes (note: this role does not process payroll but supports payroll accuracy).
• Generate and analyze payroll and HR-related reports.
• Utilize the client's HRIS/HCM system and Employee Navigator (training can be provided).
• Learn and adapt to payroll software and processes as needed.
• Maintain accurate benefits and payroll-related data transfers between systems.
• Support the HR or Accounting teams with administrative tasks related to benefits and payroll compliance.

 Qualifications:

• 1–2 years of experience in payroll, HR, accounting, or employee benefits-related roles.
• Strong background in Accounting or HR.
• Proven experience with benefits administration.
• Proficiency in Excel (report generation and data analysis).
• Experience with payroll administration (ensuring accuracy in deductions and processes).
• Familiarity with Employee Navigator (a plus; training provided).
• Strong attention to detail and accuracy; able to work efficiently without sacrificing quality.
• Ability to generate reports and reconcile data across multiple systems.
• Open to learning payroll software and processes.

go to method of application »

• We are seeking a highly skilled Data Analyst with a strong focus on financial modeling. In this role, financial modeling is the core responsibility—you will spend most of your time building and refining models that drive strategic client decisions. Data skills (SQL, Python, BigQuery) will enable you tscale and optimize that work.
• This role is client-facing: you’ll collaborate directly with CFOs and other analysts tdeliver outputs seen by clients. Accuracy, clarity, and attention tdetail are critical, as mistakes can directly impact client trust. The ideal candidate is passionate about financial modeling, eager tlearn across industries, and thrives in a collaborative, fast-changing environment.

Key Responsibilities

• Financial Modeling (Core)
• Build, refine, and maintain cash flow forecasts, KPI analytics, and operating financial models.
• Ensure models are modular, intuitive, and user-friendly, enabling broad usability across multiple clients.
• Translate P&L statements, KPIs, and financial data intactionable forecasts and insights.
• Client-Facing Analysis
• Deliver financial insights directly tclients with clarity and professionalism.
• Collaborate with CFOs and analysts tprovide strategic recommendations.
• Adapt quickly tdifferent industries and business models—ntwclients are alike.
• Data Analysis & Reporting
• Use SQL (preferably Google BigQuery) tcollect and analyze datasets.
• Apply Python for advanced data processing, automation, and visualization.
• Support the design of scalable systems for financial data and KPI analysis.
• Collaboration & Problem-Solving
• Work closely with cross-functional teams in a highly collaborative environment.
• Contribute tnew approaches, dashboards, and tools that push the boundaries of how CFOs operate.
• Approach challenges with creativity, intellectual sharpness, and entrepreneurial spirit.

Required Qualifications

• Bachelor’s degree from a top-tier university in Data Analytics, Finance, Computer Science, Engineering or a related field.
• Proven expertise in financial modeling (cash flow forecasting, KPI analytics, operating models).
• Proficiency in SQL and Python.
• Strong financial acumen and understanding of operating-level finance.
• Excellent analytical and problem-solving skills with attention tdetail.