Clinical Data Analyst

San Francisco Campus for Jewish Living•San Francisco, CA

1d•Onsite

About The Position

Nestled in San Francisco's Excelsior neighborhood on a nine-acre campus, the San Francisco Campus for Jewish Living (SFCJL) is the leading senior services organization in Northern California. Our continuum of care includes: the Frank Residences assisted living and memory care; the Jewish Home and Rehabilitation Center, offering long-term skilled nursing, short-term rehabilitation, an acute geriatric psychiatric unit for adults over the age of 65; and our Foundation. Founded in 1871 and formerly known as the Jewish Home, our legacy grounds us as our vision propels us forward. Today, we've evolved to support more than 2,500 older adults each year through innovative, comprehensive programs rooted in the Jewish values of compassion, community, and excellence. We are equally proud of our inclusive culture, where 950 team members of diverse faiths and backgrounds work together in shared purpose.

Requirements

Bachelor's Degree or Higher in health or analytics-related field (informatics, epidemiology, economics, statistics, or other field emphasizing analytics).
At least one year experience working in a regulated environment
2 years of experience with Microsoft Word, Excel (pivot tables, graphs, formulas), Access, PowerPoint.
Excellent oral and written communications skills.
Excellent organizational and interpersonal skills.
Comprehends complexities of data architecture.
Strong familiarity with Microsoft Office applications, including Microsoft Word, Excel, Access and PowerPoint. Knowledge of macros, pivot tables, query design, and other techniques for automating tasks and increasing productivity.
Ability to work independently with minimal supervision and also as a strong team member.
Ability to prioritize, plan work and function in a fast-paced, multi-project environment and under deadline pressure to multiple stakeholders.
Ability to work with a large variety of computer programs and databases
Desire to make an impact in health care with a thirst for complex challenges.
Ability to be accurate, concise, detail-oriented and to maintain confidentiality
Able to provide direction and coordination of a multi-faceted program, including problem resolution within facility.
Demonstrates problem-solving skills with the capacity to make quick and definitive decisions
Ability to maintain confidentiality.

Nice To Haves

one-year direct experience in healthcare, senior services, or long-term care is preferred.
Knowledge of medical/clinical terminology preferred but not mandatory.

Responsibilities

Use data analysis to identify areas for improvement in various areas: staffing, patient care, or clinical processes.
Responsible for data management plans including data preparation, data validation activities, etc.
Provide computer support in creating graphs for various Performance Improvement projects like fall audits and Quality of Care.
Perform data uploads, data validation, run reports and provide data maintenance.
Pull data reports and metrics from various databases.
Provide technical and administrative support to Director of Quality Assurance, Infection Control Preventionist, and Risk Manager as needed.
Generate and analyze daily scheduled reports vis-à-vis actual punched in hours to identify anomalies, provide drivers/insights and recommend action items.
Analyze overtime/extended schedules to calculate FTE needed for management review; Provide backup timecard support to scheduling team / unit managers (corrections to punched in times, etc.)
Collect, validate, and analyze staffing and census data to calculate Direct Hours Per Patient Day (DHPPD).
Abstract data accurately according to defined criteria, regulatory standards, and organizational guidelines.
Review and code invoices for CNO approval – research drivers, liaise with business partners, assess budget impact.
Provide monthly clinical variance report to CNO for all departments showing variances to budget, including drivers.
Gather data from various sources and ensure data accuracy, completeness, and integrity.
Analyze data using statistical tools and techniques to identify patterns, trends, and insights.
Perform data cleaning, transformation, and modeling.
Prepare clear, concise, and legible findings.
Develop reports and presentations to communicate findings.
Collaborate with healthcare professionals to implement data-driven solutions.
Ensure that all data management activities comply with relevant regulations and standards.
Perform quality checks to ensure data accuracy and reliability.
May be involved in training staff on data management procedures.
Perform other duties as assigned