Data and Analytics Specialist at Community Health Center of Southeast Kansas Inc

Pittsburg, Kansas, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jul, 26

Salary

0.0

Posted On

02 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Visualization, SQL, Predictive Modeling, Data Mining, Statistical Programming, Dashboard Development, Reporting, Data Quality, Process Improvement, Training, Collaboration, Customer Service, Attention to Detail, Problem Solving, Health Informatics

Industry

Hospitals and Health Care

Description

Description This position will be full time (40 hours per week) on site in Pittsburg, Kansas for at least the first 6 months of employment. May become eligible for remote or hybrid work arrangement, but employee must reside within Kansas, Oklahoma, Missouri, or Arkansas. If remote or hybrid work arrangement is approved, employee will be expected to report to Pittsburg, Kansas upon request and may be called back to working in Pittsburg, Kansas location full time. CORE VALUES The core values of Community Health Center of Southeast Kansas (CHC/SEK) are dignity and stewardship. Each staff member is expected to perform their job duties in a way that preserves dignity for our patients and maintains good stewardship of the organization’s resources. GENERAL DESCRIPTION OF POSITION CHC/SEK is dedicated to leveraging data to drive decision-making and optimize performance. The Data and Analytics Specialist will manage complex data and deliver insights that shape our strategies and initiative, enhancing business & clinical operations. This position will play a key role and support the organization in value-based care arrangements. This position collaborates with various departments to recognize opportunities for process improvement by identifying trends and patterns in complex data sets. Requirements ESSENTIAL DUTIES Extract, compile, analyze, manipulate, and maintain data from multiple systems for regular and custom reporting. Analyze clinical, operational, financial, and other business data to identify trends, patterns, and opportunities for improvement with the ability to translate data findings into insights. Develop, maintain, and distribute routine and ad hoc reports, dashboards, and other visuals to support organizational goals and decision making, enhancing operational efficiency and stewardship, assist with strategic planning, forecasting, and predictive analytics. Assist in the preparation and validation of reports required for regulatory agencies, such as UDS, HRSA, CMS, and other grant-related or required reporting. Monitor and evaluate data accuracy and data downloads across systems, identifying discrepancies and collaborate with other departments to resolve data quality and software, hardware concerns. Prepare and present reports on data findings into relevant and easy to understand information. Provide training and tools for interpretation and self-service analytics, developing user guides for internal reporting systems and dashboards. Collaborate with departments to understand data and reporting needs, support initiatives, champion data-informed decision making, and supply high-quality output solutions. Provide recommendations on data analytics tools, new functionality, streamlined approaches, and emerging technologies to enhance analytics capabilities. The essential functions listed are not an exhaustive list of every task the employee is required to complete. Employees are expected to perform all other duties as assigned. QUALIFICATIONS Bachelor’s degree in Data Science, Health Informatics, Statistics, Business, or related field Minimum of 5 years’ experience in data analytics or a related field, strongly preferred experience in healthcare. Experience and strong proficiency in data visualization tools (e.g. Tableau, Power BI), statistical programming languages, data warehousing, data mining, predictive modeling techniques, and SQL. KNOWLEDGE, SKILLS AND ABILITIES Social and cultural sensitivity appropriate to ethnically and economically diverse patient-and employee-base Must be organized and able to manage/prioritize tasks to meet deadlines, adapts to change in a positive manner, able to work as part of a team. Communicates through appropriate channels. Must have high analytical skills and be proficient with the organization’s electronic health record. Must be able to maintain good inter-personal relationship with co-workers and other members of the health care team and the organization. Provide customer service in accordance to the organization’s mission. Be courteous and respectful when interacting with internal and external customers. Maintain patient confidentiality in accordance to organization’s policy and procedure and HIPAA requirements. Excellent understanding of data warehousing, data mining, and predictive modeling techniques Exceptional analytical and problem-solving abilities with a strong attention to detail Experience in converting raw data into visually appealing dashboards, reports, and visualization that allow for actionable insights. WORKING CONDITIONS While performing the duties of this job, the employee is regularly required to sit, up to entire shift; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is occasionally required to stand and walk. Prolonged computer use up to entire shift. The employee must regularly lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception and ability to adjust focus. Hazardous material inventory and MSDS available. Wears personal protective equipment as needed. May be exposed to patients/public with communicable diseases.

Responsibilities

The Data and Analytics Specialist will manage complex data and deliver insights that shape strategies and initiatives, enhancing business and clinical operations. This role involves collaborating with various departments to identify opportunities for process improvement through data analysis.