Finance Decision Support Analyst - Telecommuter - Day Shift

Hours

Shift Start Time: 8 AM

Shift End Time: 4:30 PM

AWS Hours Requirement: 8/40 - 8 Hour Shift

Additional Shift Information: Flexible start and end times

Weekend Requirements: No Weekends

On-Call

Required:

No

Hourly Pay Range (Minimum - Midpoint - Maximum): $46.110 - $59.500 - $66.650

The stated pay scale reflects the range that Sharp reasonably expects to pay for this position. The actual pay rate and pay grade for this position will be dependent on a variety of factors, including an applicant’s years of experience, unique skills and abilities, education, alignment with similar internal candidates, marketplace factors, other requirements for the position, and employer business practices.

Please Note: As part of our recruitment process, you may receive communication from Dawn, our virtual recruiting assistant. Dawn helps coordinate scheduling for screening calls and interviews to ensure a smooth and timely experience. Rest assured, all candidate evaluations and hiring decisions are made by our recruitment and hiring teams.

To participate in providing ongoing maintenance, implementation, modification, and enhancement of the decision support system at Sharp Health Care including the cost accounting and budget modules. To support existing and new customer base, by providing support, training, report writing/data mining, and problem resolution as needed. To prepare ad hoc financial analyses in support of the Sharp Health Care management team.

• 1 Year experience with analyzing financial variances.

• 3 Years healthcare experience.
• Cost Accounting system experience.

• Bachelor's degree in Business, Analytics/Information Technology, Finance, Accounting or Healthcare Management or equivalent finance experience in a healthcare environment.
  
  - Required

• Cost accounting

  Participate in the RVU development and cost dissemination for all cost components.

  Support the design, development, and maintenance of an automated, timely, and accurate RVU load process to enable standardized cost accounting s includes the preservation of the direct and indirect procedure level cost factors, development of system-wide RVUs, annual review of indirect cost allocation structures, and audit for reasonable cost factors.

• Cost effectiveness

  Demonstrates initiative, cooperation, customer focus, and teamwork toward department and system goals by:

  • Meeting established deadlines and completing projects as assigned in an accurate and cost-effective manner.
  • Demonstrating an advanced skill level (as well as consistent improvement in skill level) with computer-modeling in software applications.
  • Prioritizing multiple assignments /overlapping deadlines and amending work schedule to assist co-workers with tasks as necessary.
  • Demonstrating ability to work independently using good analytical and political judgment in dealing with a wide variety of customers.
  • Maintain active relationships with customers by continuously assessing needs, preferences, and levels of satisfaction with tasks.
  • Representing the Financial Decision Support department in a professional and competent manner, including a strong sense of responsibility for assigned duties.

• Data integrity

  Maintain data integrity in the Decision Support and budget databases in both the short and long terms by:

  • Completing the daily/biweekly/monthly interface reconciliations.
  • Researching/correcting any data accuracy issues that surface.
  • Assessing data quality impact issues resulting from internal application changes and then working with appropriate team members to identify solutions as a result of these changes; and
  • Works with team members to communicate results of changes or findings to user community and Finance leadership to keep constituents apprised.

• Data submission

  Create, modify, and perform data extracts on an as needed basis, using advanced technical skills as required and adhering to submission schedules required by senior management.

  Use senior analytic expertise in planning and validating results of extracts to incorporate clients' current and future needs.
  1) Data submission schedules are met in a…