Responsible for department data analytics, collecting large amounts of data, interpreting data, aiding in departmental data issues, and other data-driven initiatives for the department.
Duties\:
- Meets with team members regarding projects
- Collects and interprets data and aid in all department data needs
- Automates and integrates processes
- Develops processes for formulation of data-driven solutions for improvements
- Develops complex models that integrate business rules and requirements
- Creates machine learning models
- Communicates and meets with teams and interested parties
- Shares complex ideas verbally and visually in an understandable manner with non-technical stakeholders
- Performs other duties as needed to successfully fulfill the functions of the position.
Responsible for department data analytics, collecting large amounts of data, interpreting data, aiding in departmental data issues, and other data-driven initiatives for the department.
Duties\:
- Meets with team members regarding projects
- Collects and interprets data and aid in all department data needs
- Automates and integrates processes
- Develops processes for formulation of data-driven solutions for improvements
- Develops complex models that integrate business rules and requirements
- Creates machine learning models
- Communicates and meets with teams and interested parties
- Shares complex ideas verbally and visually in an understandable manner with non-technical stakeholders
- Performs other duties as needed to successfully fulfill the functions of the position.
Required Education\: Bachelor's degree in related field, AND\:
- 48 months experience in Data Science, Predictive, or Advanced Analytics or related experience.
Equivalency/Substitution\: Will accept 48 months of experience in lieu of the Bachelor's degree for a total of 96 months of related experience.
Skills\:
- Ability to use data visualization tools
- Advanced knowledge of data querying languages, and statistical or mathematical software
- Advanced knowledge in writing algorithms, and knowing when to apply them
- Ability to understand statistics, multi-variable calculus, and linear algebra
- Ability to communicate verbally and in writing
- Ability to lead other employees
Certifications\: None
Working Conditions\:
- Physical\:
- Sits for prolonged periods of time.
- Ability to engage in repetitive motion.
- Manual dexterity.
- Communicate effectively.
- Environmental\:
- Standard Office Work Environment.
Departmental Preferences\:
- Experience with data visualization tools (Tableau, Power BI, etc.).
- Knowledge of machine learning or predictive modeling techniques in a healthcare context.
- Familiarity with quality improvement methodologies (e.g., Six Sigma, Lean).
- Prior experience supporting grant-funded clinical research or academic medical centers
- Master of Science degree in Data Science, Biostatistics, Epidemiology, Health Informatics, or other related field.
Why You Belong at the University of Oklahoma\: The University of Oklahoma values our community's unique talents, perspectives, and experiences. At OU, we aspire to harness our innovation, creativity, and collaboration for the advancement of people everywhere. You Belong Here!
Equal Employment Opportunity Statement\: The University, in compliance with all applicable federal and state laws and regulations, does not discriminate on the basis of race, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes but is not limited to admissions, employment, housing, financial aid, and educational services.
Required Education\: Bachelor's degree in related field, AND\:
- 48 months experience in Data Science, Predictive, or Advanced Analytics or related experience.
Equivalency/Substitution\: Will accept 48 months of experience in lieu of the Bachelor's degree for a total of 96 months of related experience.
Skills\:
- Ability to use data visualization tools
- Advanced knowledge of data querying languages, and statistical or mathematical software
- Advanced knowledge in writing algorithms, and knowing when to apply them
- Ability to understand statistics, multi-variable calculus, and linear algebra
- Ability to communicate verbally and in writing
- Ability to lead other employees
Certifications\: None
Working Conditions\:
- Physical\:
- Sits for prolonged periods of time.
- Ability to engage in repetitive motion.
- Manual dexterity.
- Communicate effectively.
- Environmental\:
- Standard Office Work Environment.
Departmental Preferences\:
- Experience with data visualization tools (Tableau, Power BI, etc.).
- Knowledge of machine learning or predictive modeling techniques in a healthcare context.
- Familiarity with quality improvement methodologies (e.g., Six Sigma, Lean).
- Prior experience supporting grant-funded clinical research or academic medical centers
- Master of Science degree in Data Science, Biostatistics, Epidemiology, Health Informatics, or other related field.
Why You Belong at the University of Oklahoma\: The University of Oklahoma values our community's unique talents, perspectives, and experiences. At OU, we aspire to harness our innovation, creativity, and collaboration for the advancement of people everywhere. You Belong Here!
Equal Employment Opportunity Statement\: The University, in compliance with all applicable federal and state laws and regulations, does not discriminate on the basis of race, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes but is not limited to admissions, employment, housing, financial aid, and educational services.
Required Attachments
Documents required for this position are listed under the "Required Attachments" section of this job listing. You will be required to upload and attach these documents in the application process.
Important: ALL required documents must be attached to your job application or your documents will not be visible to the hiring department!
Data & Analytics (1)