Data Reporting and Analytics Consultant IV, Programming

In addition to the responsibilities listed below, this position is also responsible for overseeing all phases of data management, quality control, and reporting; programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.); taking lead role in analyzing and implementing data management, quality control, and reporting needs on multi-programmer projects; and troubleshooting complicated software processes and products.

This position is also responsible for designing complicated automated reporting and data loading solutions; testing data conversions and data integrity from a wide variety of sources across platforms; developing complicated macros for various research and reporting purposes; designing comprehensive quality checking and validation process; and developing and evaluate complicated data linkage process.

This position may supervise the work of lower level team members serving on the same project.

• Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback.


• Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities.


• Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed; defining, calculating, and validating algorithms; and conducting analyses, including descriptive, correlational, inferential, and/or predictive statistics.


• Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; developing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.


• Interprets data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; and providing context related to data interpretations and/or limitations as appropriate.


• Drives strategic data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.


• Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.


• Develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.


• Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; and cleaning and creating final data set(s) for analysis.

• Ambiguity/Uncertainty Management
• Attention to Detail
• Business Knowledge
• Communication
• Critical Thinking
• Cross-Group Collaboration
• Decision Making
• Dependability
• Diversity, Equity, and Inclusion Support
• Drives Results
• Facilitation Skills
• Health Care Industry
• Influencing Others
• Integrity
• Learning Agility
• Organizational Savvy
• Problem Solving
• Short- and Long-term Learning & Recall
• Teamwork
• Topic-Specific Communication

• Data Integration
• SAS Tools
• SQL/SAS
• Web Report Studio
• Business Planning
• Data Extraction
• Data Mining
• Data Visualization Tools
• Project Management
• Relational Database Management
• Statistical Programming Language
• Written Communication

• Minimum four (4) years data management experience with SAS, SQL, R or other similar analytical programming language.


• Minimum five (5) years experience programming with SAS, SQL, R or other similar analytical programming language.


• Minimum one (1) year experience in a leadership role with or without direct reports.


• Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum five (5) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.

• Three (3) years experience working with Open Source Tools (e g , R, Python).
• Three (3) years experience working with data visualization tools.
• Three (3) years text analytics experience.
• Two (2) years experience working in a matrixed organization.
• Three (3) years experience working with quality management and data profiling tools.
• Three (3) years experience working with Excel.
• Three (3) years experience working with Tableau.
• Three (3) years experience working with SAS.
• Three (3) years experience working with statistical analysis software.
• Three (3) years programming experience.
• Three (3) years experience working with SQL.
• One (1) year health care experience.
• Three (3) years experience working with data extraction and manipulation language.
• Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
• Three (3) years health or medical research experience.
• Three (3) years relational database experience.
• Three (3) years experience working with artificial intelligence tools.

PrimaryLocation : California,San Diego,California Service Center - Rio S.D.
HoursPerWeek : 40
Shift : Day
Workdays : Mon, Tue, Wed, Thu, Fri
WorkingHoursStart : 08:00 AM
WorkingHoursEnd : 04:30 PM
Job Schedule : Full-time
Job Type : Standard
Employee Status : Regular
Employee Group/Union Affiliation : NUE-SCAL-01|NUE|Non Union Employee
Job Level : Individual Contributor
Job Category : Data Analytics
Department : Regional Offices - Pasadena - Rgnl Mg Admn-Oper Improvement - 0806
Travel : Yes, 10 % of the Time
Kaiser Permanente is an equal opportunity employer committed to fair, respectful, and inclusive workplaces. Applicants will be considered for employment without regard to race, religion, sex, age, national origin, disability, veteran status, or any other protected characteristic or status.

For jobs where work will be performed in unincorporated LA County, the employer provides the following statement in accordance with the Los Angeles County Fair Chance Ordinance. Criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Consistently supports compliance and the Principles of Responsibility (Kaiser Permanente's Code of Conduct) by maintaining the privacy and confidentiality of information, protecting the assets of the organization, acting with ethics and integrity, reporting non-compliance, and adhering to applicable federal, state, and local laws and regulations, accreditation, and licensure requirements (where applicable), and Kaiser Permanente's policies and procedures.

• Models and reinforces ethical behavior in self and others in accordance with the Principles of Responsibility, adheres to organizational policies and guidelines; supports compliance initiatives; maintains confidences; admits mistakes; conducts business with honesty, shows consistency in words and actions; follows through on commitments.

• Job duties with at least occasional or possible access to: (1) patients, the general public, or other employees; (2) confidential protected health information and other confidential KP information (including employee, proprietary, financial or trade secret information); (3) KP property and assets, for example, electronic assets, medical instruments, or devices; (4) controlled substances regulated by federal law or potentially subject to diversion.