Job description

Description


Responsible for driving strategic data-informed decisions, gathering data and information on target variables in an established systematic fashion, and preparing data for analytic efforts. This position drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines, interprets complex data analyses, and leads the development of advanced analytical and/or statistical models enabling informed business decisions. Major Responsibilities/Essential Functions , Identifies and evaluates emerging trends in health insurance and health care. Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advise to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and develop weaknesses; and adapting to and learning from change, difficulties, and feedback. Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and evaluating recommendations made by others. Interprets complex 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; participating in peer reviews; and providing context related data interpretations and/or limitations as appropriate. Leads the development of advanced analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; translating models and gaining stakeholder buy-in for implementation; creating complex models leading to actionable insights; and testing, refining and validating models. Drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines by defining and calculating complex metrics to be analyzed; defining, calculating, and validating algorithms; and conducting complex analyses, including descriptive, correlational, inferential, and/or predictive statistics. 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; collaborating with stakeholders and source system owners to resolve data quality issues as appropriate; and cleaning and creating final data set(s) for analysis. Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across internal and external sources; completing routine data refresh and update; developing and/or delivering complex tools for electronic data collection; and providing user training, support and documentation. Drives strategic data-informed decisions by consulting with clients and leadership to identify and clarify key business needs across functional areas, business and/or clinical lines; developing outcomes and process measures; translating business requirements, determining data/information needs and data collection methods; developing complex analysis plans; evaluating the impact of business decisions on clients, customers, and/or members; partnering with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables. Qualifications: Master's degree in mathematics, statistics, engineering, social/physical/life science, business, or related field , Experience in data analytics required Preferred Qualifications: Health insurance experience , Certification in one of the following preferred: Oracle Business intelligence (OBI), EMC Data Science Associate (EMCDSA), Certified Authorization Professional (CAP), or Microsoft Certified Solutions Expert (MCSE). ENTER YEARS OF EXPERIENCE REQUIRED:


Additional Job Details


  • Distribution: Standard Distribution
  • Office Location: 100 S. Los Robles Ave. Pasadena, Ca 91101
  • Any Travel for this role?: N/A
  • Remote Options (Fully Remote, Partially Remote, KP Onsite): Partially Remote /Hybrid (schedule to be determined by manager and candidate).
  • If Remote: Will the worker need to be Remote local to the office or Remote anywhere in the US: Remote local to the office
  • If Onsite (please note if the worker is onsite, they must be vaccinated before starting the role): Yes, fully vaccinated
  • Parking Situation:
  • Temporary Parking: Parking garage at 98 S Los Robles Ave Pasadena CA 91101. Entrance is on El Dorado St. Press the buzzard to get in and out of the parking garage.


ii. Parking after access has been granted: Parking garage at 100 S Los Robles Ave Pasadena CA 91101


  • Dress Code: Business Casual
  • Required Level of Education: Bachelor's degree in Computer Science, Information Management, Business Administration, or similar field
  • Preferred Level of Education: Master's degree
  • How many years of related experience are you looking for in your ideal candidate?
  • Current database or software implementation experience (5 years minimum)
  • Current business analytics experience (5 years minimum)
  • Current technical project management experience (2 years minimum)
  • Experience working as a data analyst (2 years minimum)
  • Specific Systems Knowledge Required:


Proficiency with SQL and related SQL databases


Experience with basic end-user training


Experience with designing and documenting functional system workflows


Proficiency with computer software programs such as MS Excel, Visio, MS Word, PowerPoint to organize and communicate information; ability to quickly learn new information systems, software programs, processes


  • Specific Systems Knowledge Preferred:
  • Oracle Business intelligence (OBI), EMC Data Science Associate (EMCDSA), Certified Authorization Professional (CAP), or Microsoft Certified Solutions Expert (MCSE)
  • Experience working with a faculty appointment management system
  • Expected Shift: Day shift 8:00am 5pm, may require support during evening and weekend hours.
  • Interview Process: Resume/Questionnaire Screening, 1 Phone/Virtual Panel Interview, 1 Phone/Virtual Interview with Senior Leader Hours per Day 8 Hours per Week 40 Total Hours 1,240.00

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