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Heart Institute - Lead Data/Report System Analyst - Dr. Susan Cheng Lab (Onsite)

Cedars-Sinai860 open roles

Where
Los Angeles, CA, United States
Work mode
On site
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Your applicationOpen nowHeart Institute - Lead Data/Report System Analyst - Dr. Susan Cheng Lab (Onsite)Cedars-Sinai · Los Angeles, CA, United States
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The clock on this job

Early applications get read.

9.5% of postings close within 7 days. Measured by our own scanner across the market. Cedars-Sinai postings stay open a median of 6 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 9.5%7 days
  4. 15.6%14 days
  5. 33.9%30 days
This job: posted yesterday

Cedars-Sinai median: 6 days open

The posting

Job Description

The Smidt Heart Institute reflects Cedars-Sinai's steadfast dedication to heart disease and research innovation giving patients access to the highest level of care. Year after year, thousands of people trust their hearts to Smidt Heart Institute at Cedars-Sinai. Our cardiologists, cardiac surgeons and specialized care teams treat the full spectrum of heart disease and disorders, while our investigators continue to advance the field with groundbreaking, life-saving research. From genetic counseling and targeted drug therapies to a growing array of minimally invasive procedures, Cedars-Sinai continues to stand at the forefront of technology, innovation and discovery improving patient outcomes.

Join our team and use your skill with an organization known nationally for excellence in research!

Job Summary:

Responsible for leading a team of Analysts to support the data needs and integrity within department and/or unit. This role will have leadership responsibility in project management and will work with staff, source data owners, information technology and service staff, and data user customers from various departments of the hospital. Plays an instrumental role in automating and building reporting tools to increase efficiency. Responsible for submitting data for regulatory reporting requirements.

Primary Duties and Responsibilities

Data Quality Incident Analysis & Management

a. Triage incoming data quality incidents or inquiries to the appropriate staff member.

b. Work with staff to track progress of data quality incidents in the Incident database.

c. Work with data users/customers and data suppliers to identify and resolve data quality issues by assessing their impact, investigating root cause, and working with business data owners to identify and implement solutions.

d. Integrate the use of information systems, databases, and data analytic tools to analyze and solve data quality problems.

Exercises leadership responsibility in project management to support major departmental processes.

Works with key customers to specify, develop, produce, and deliver on-time analytic reporting requests. Interacts with customer in a timely fashion to clarify needs sufficiently to allow development of report specifications. Follows up with customers after delivery to ensure need is met. Effectively interprets data and analytic reports for customers.

Provides manager with project status updates on a regular basis. Basic parameters include volume, complexity, turn-around-time, subject, customer, analyst/programmer, re-work, errors, and ad hoc versus production. Contributes to the performance appraisals of staff members involved in above work processes.

In-charge of developing a quality control process for data and reports built from data for customers

Develops and implements validation steps to ensure accuracy, completeness, and timeliness of data analytic report production as prioritized by leadership.

Responsible for developing analytic solutions to improve efficiency, data quality, and timeliness of reporting. Includes automating and building reporting tools to increase efficiency

Qualifications

Educational/Certification Requirements:

Bachelor’s degree in healthcare administration, Computer Science, Statistics, and/or related, required.

Master’s degree in healthcare administration, Computer Science, Statistics, and/or related, preferred.

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