Data Analyst

Job Profile:

Business and Data Analyst 3

Job Family:

Business and Data Analytics

Time Type:

Part time

Max Pay – Depends on experience:

$37,500.00 USD Annual

Apply before 11:59 PM Arizona time the day before the posted End Date.

Minimum Qualifications:

Bachelor's degree and five (5) years of experience appropriate to the area of assignment/field; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.

Job Profile Summary:
Defines systems requirements, makes recommendations for technology selection, and performs moderately complex data analysis to ensure data management objectives within a work unit are met.

Job Description:

RATE OF PAY RANGE: $35,600-$37,500 annually; DOE

Hiring for Part Time, 20 hours per week

Job Description:

Under administrative direction of Health Services leadership, manages, plans, supports and prepares data analysis and reporting for health sector decision-making, strategic planning, and process improvement using various methods and techniques.

Essential Duties:

• Performs complex and advanced research analysis techniques, to understand current performance, analyze trends, and to make recommendations for future project performances.

• Develop measurements and metrics for data analysis to be used for business decision-making, planning, and process improvement.

• Securely collects, cleanses, standardizes, transforms and stores data from various sources ensuring data integrity, and all standards for Private Health Information (PHI).

• Directs the collection of supplier data (e.g. health industry trends, supplier performance and cost dynamics); prepares supplier reviews and scorecards.

• Uses predictive modeling, statistics, trend analysis and other data analysis techniques to collect, explore, and identify the right data to be analyzed from internal and external sources.

• Creates and maintains statistical reporting tools to support health, behavioral health, and mental health service disciplines.

• Responsible for regularly auditing data input; audits may involve studying numbers, organization practices and customer feedback.

• Prepares or coordinates preparation of reports; analyzes and interprets statistics, financial data, and management planning data for predicting resource needs and developing long range plans.

• Prepares presentations to Health and Counseling Services Leadership.

• Conducts and assists with the development of long-and short-range goals.

• Represents ASU Health Services and serves on various department and university committees.

• Maintains broad awareness of current trends in data collection and organization, data preservation, and numeric data analysis by participation in appropriate professional activities and contributing to research in the field: to implement procedures and technologies that assure the long-term sustainability and accessibility of datasets.

• May supervise, monitor or coordinate the activities of subordinates to ensure adherence with stated outcomes, timeframes and standards.

• Reviews job performance in conjunction with Health Services, EOSS, and university goals.

• Utilizes various computer programs and software to perform data computation, statistical analysis and other data manipulation activities.

• May perform other duties as assigned.

Desired Qualifications:

• Knowledge of the principles and practices for best assessment for population health

• Knowledge of administrative, financial, and business management principles and practices

• Knowledge of analysis techniques and reporting strategies

• Knowledge of computing and data analysis

• Knowledge of data management and information technologies

• Knowledge of supervisory principles, practices and techniques

• Knowledge of HIPAA practices, and patient rights for secure private health information practices.

• Knowledge of the principles of exemplary customer service demonstrated through actively listening, acknowledging, and responding to every inquiry; taking ownership and resolving each concern or problem as appropriate; exhibiting professionalism and expertise in every interaction and engaging in professional development to meet expectations for service excellence.

• Experience in quantitative data analysis and interpretation.

• Experience in collecting, organizing, synthesizing and