Data Reporting and Analytics Consultant VI Clinical Care Delivery and QA (Maryland-MAS)
In addition to the responsibilities listed below, this position is also responsible for providing guidance on the collection of regulatory requirements; translating complex regulatory requirements to reporting rules that fit with how KP operates and stores data; and creating and leading the creation of data reports to influence quality and clinical care decisions.
- Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback.
- Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others.
- Leads data and information collection on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across internal and external sources; leading routine data refresh and update; leading the development and/or delivery of highly complex tools for electronic data collection; and providing senior-level user training, support, and documentation.
- Leads data preparation 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; partnering with stakeholders and source system owners to identify root causes and resolve data quality issues as appropriate; and cleaning and creating final data set(s) for analysis.
- Leads and drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines by reviewing data design and analysis of more junior employees; defining and calculating complex metrics to be analyzed; defining, calculating, and validating algorithms; leading and conducting complex analyses, including inferential and/or predictive statistics.
- Leads the design, roadmap development, implementation, and automation of business and reporting solutions by partnering with key stakeholders to advise in their design, planning, and implementation while ensuring consistency and coherency; reviewing data and results; designing 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 ensuring completion of documentation as appropriate.
- Leads highly complex data analysis interpretation by providing support to team on data interpretation; applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; leading peer reviews; providing context related to data interpretations and/or limitations as appropriate; and sharing insights with internal and/or external subject matter experts.
- Consults and provides expertise on 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; providing support in the creation of models leading to actionable insights; and testing, refining, and validating models.
- Drives and leads strategic data-informed decisions by consulting with senior-level clients and executive leadership to identify and clarify key business needs across functional areas, business and/or clinical lines; leading the development of outcomes and process measures; translating complex business requirements; determining data/information needs and data collection methods; leading and guiding the development of complex analysis plans; evaluating the impact of business decisions on clients, customers, and/or members; building and leveraging partnerships 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.
- Minimum six (6) years experience in health care data analytics.
- Minimum five (5) 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 ten (10) 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.
- Knowledge, Skills, and Abilities (KSAs): Big Data; Health Care Data Analytics; Regulatory Reporting; Reporting Tools; Analytical Software Tools; SAS Tools; Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management
- Two (2) years experience in process improvement.
- Three (3) years experience working with SAS.
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.
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