Data Analyst

Access-posted 5 days ago
Full-time • Mid Level
Dearborn, MI
101-250 employees
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Under general supervision, the Data Analyst is responsible for ensuring accurate and timely reporting for an assigned program area. The employee utilizes assigned software, databases, and documentation systems to generate relevant reports and analyze results against program goals. Pulls service and outcome data and performs analysis in support of evaluation and process improvement initiatives. Gathers data on performance metrics to facilitate the review of program effectiveness. Evaluates client and patient service data to ensure that care is provided in accordance with program guidelines and organizational standards.

  • Facilitate the utilization of ACCESS client data strategy
  • Bridge data from ACCESS EMR systems with other agency-data systems
  • Participate in meetings and conversations to understand ACCESS operational and strategic data needs
  • May oversee data collection and management for an assigned functional area
  • May train and guide staff on data entry and case records best practices to ensure effective data management
  • Assess data for quality and clean data accordingly
  • Develop and build processes to capture data integrity issues
  • Build and maintain tabular visualization reports for regular and/or automated reporting and analysis
  • Define new data collection and analysis processes and form data management and governance processes
  • Analyze and report to demonstrate impact of program(s) and services compared to identified targets
  • May track referrals and enrollment status of clients, document outcomes of the referral and enrollment, and provide support as appropriate or document barriers to enrollment, if any
  • Keep current with trends and developments related to data management in field
  • Collaborate with quality assurance and evaluation staff to measure and report on program impact
  • Present data outcome to management as requested
  • Conduct statistical analysis and run regressions on data
  • May create and manage surveys and other forms of data collection
  • Operate standard office equipment and use required software applications
  • Perform other duties and responsibilities as assigned
  • Knowledge of: Operating EMR or other similar data management systems
  • Best practices in data analysis and reporting
  • Human Services organization operations preferred
  • Data warehouse environments
  • Clinical (Medical & Behavioral Health) operations preferred
  • Skill in: Data entry
  • Data analysis
  • Strong customer service
  • Strong multi-tasking
  • Organizational and time management skills to effectively juggle multiple priorities, time constraints and large volumes of work
  • Creating metrics and statistical metrics and spreadsheets
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Comfort in complex data environment and understanding of data structures
  • Data visualization, SQL, and Excel required.
  • Excellent verbal and written communication skills; with the ability to write routine reports and develop data visualizations required
  • Ability to: Communicate effectively both orally and in writing
  • Guide others and work as a team
  • Put together high-level presentations
  • Operate a standard desktop and Windows-based computer system, including but not limited to, electronic medical records, Microsoft Word, Excel, Outlook, intranet, and computer navigation
  • Handle patient and organizational information in a confidential manner
  • Strong ability to troubleshoot and resolve data issues
  • Minimum Degree Required: Bachelors degree
  • Required Disciplines: Management Information Systems, Statistics, Math or other technical field
  • Minimum of 3 to 5 years experience managing information systems, preferably in a nonprofit setting or any equivalent combination of experience, education and/or training approved by Human Resources
  • Power BI, SPSS, R, SAS, or STATA preferred.
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