JOB SUMMARY:

In addition to the responsibilities listed below, this position is also responsible for managing a team providing programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.), data management, and quality control support for a wide variety of projects; providing innovative developments and/or programs; and providing expert guidance on analytical programming issues.
This position is also responsible for managing and overseeing all phases of data management, quality control and reporting for multiple research projects; troubleshooting complicated software processes and products; managing the design of and evaluating complex macros for various research and reporting purposes; and reviewing and providing strategies on various complicated data linkage solutions.

MINIMUM QUALIFICATIONS:

• Minimum six (6) years experience programming with SAS, SQL, R or other similar analytical programming language.
• Minimum five (5) years data management experience with SAS, SQL, R or other similar analytical programming language.
• Minimum three (3) years 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 six (6) years progressive corporate, non-profit, or consulting experience, including Minimum four (4) years in data analytics or directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.

ADDITIONAL REQUIREMENTS:

• Knowledge, Skills, and Abilities (KSAs): Data Integration; SAS Tools; SQL/SAS; Web Report Studio; Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Delegation; Project Management
  PrimaryLocation : California,Pleasanton,Pleasanton Tech Cntr Building E
  HoursPerWeek : 40
  Shift : Day
  Workdays : Mon, Tue, Wed, Thu, Fri
  WorkingHoursStart : 08:00 AM
  WorkingHoursEnd : 05:00 PM
  Job Schedule : Full-time
  Job Type : Standard
  Employee Status : Regular
  Employee Group/Union Affiliation : NUE-NCAL-09|NUE|Non Union Employee
  Job Level : Manager with Direct Reports
  Job Category : Data Analytics
  Department : Oakland Reg - 1950 Franklin - Rgnl Mg Admn-Oper Development - 0206
  Travel : No
  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

• Pursues professional growth and provides developmental opportunities for others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; training and developing talent for growth opportunities; delegating tasks and decisions; fostering open dialogue amongst team members; executing performance management guidelines and expectations; and working closely with employees to set goals and provide open feedback and coaching to drive performance improvement.
• Manages designated work unit by translating business plans into tactical action items; ensuring all policies and procedures are followed; delegating tasks to meet goals and objectives; overseeing the completion of work assignments; aligning team efforts; building accountability for and measuring progress in achieving results; identifying and addressing improvement opportunities; removing obstacles that impact performance; and guiding performance and developing contingency plans accordingly.
• Manages the development, implementation, and automation of business and reporting solutions by partnering with stakeholders to ensure their design, planning, and implementation needs are being met while ensuring consistency and coherency of output; reviewing and approving results; ensuring data reports, visualizations, and/or interactive Business Intelligence (BI) reports meet established standards; reporting to senior-level stakeholders on key findings; and identifying needs for the development and implementation of additional reporting solutions.
• Manages strategic data-informed decisions by consulting with senior-level clients and leadership to identify and clarify key business needs across functional areas, business and/or clinical lines; managing the development of outcomes and process measures; reviewing the translation of business requirements; determining data/information needs and data collection methods; leading the development of analysis plans; reviewing the impact of business decisions on clients, customers, and/or members; collaborating with clients and staff to identify opportunities and methods to improve efficiencies with analysis; ensuring end-users are supported and trained; and reviewing documentation of processes and deliverables.
• Manages data analysis interpretation by reviewing findings and their application to contextual settings; reviewing insights, reports, and presentations to ensure a compelling story for stakeholders to enable and influence decision making; and sharing insights with internal and/or external audiences.
• Manages data preparation for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; approving process improvements and recommending system changes to enhance overall quality of the data; escalating issues to ensure remediation as appropriate; and reviewing complex or high-profile data sets.
• Manages data and information collection on targeted variables in an established systematic fashion by reviewing and approving data sources; providing guidance and review regarding data collection methods and analysis; leading routine data refresh and update; reviewing the development and/or delivery of tools for electronic data collection; ensuring users are trained and supported; and auditing documentation.
• Manages the execution of creative data analytic approaches leading to actionable outcomes by reviewing data design and analysis; approving metrics to be analyzed; defining, calculating, and validating algorithms; reviewing and approving results of analyses; and providing technical support on complex analyses including inferential and/or predictive statistics.