Supervisor, Data Reporting and Analytics
Job Description
This supervisory level employee is primarily responsible for driving strategic data-informed decisions, leading data and information collection on targeted variables in an established systemic fashion, and leading data preparation for analytic efforts.
This position supervises the execution of creative data analytic approaches leading to actionable outcomes, supervises the development, implementation, and automation of business and reporting solutions, leads data analysis interpretation, and leads the development of analytics and/or statistical models enabling informed business decisions.Essential Responsibilities:
- Pursues professional growth by soliciting and acting on performance feedback; building collaborative relationships; training and developing talent for growth opportunities; delegating tasks and decisions; fostering open dialogue amongst team members; supporting execution of performance management guidelines and expectations; ensuring team collaboration; and coaching to drive performance improvement.
- Supervises day-to-day activities of designated work team or unit by overseeing the execution of tactical action items; ensuring all policies and procedures are followed; delegating tasks to meet short term deliverables; overseeing the completion of work assignments; aligning team efforts and measuring progress in achieving results; identifying and recommending improvement opportunities; and removing obstacles that impact performance.
- Drives strategic data-informed decisions by consulting with senior-level clients to identify and clarify key business needs; leading the development of outcomes and process measures; leading 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; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; ensuring end-users are supported and trained; and leading documentation of processes and deliverables.
- Leads data and information collection on targeted variables in an established systematic fashion by reviewing data sources; providing guidance regarding data collection methods and analysis; leading routine data refresh and update; leading the development and/or delivery of tools for electronic data collection; ensuring users are trained and supported; and leading documentation.
- Leads data preparation for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; recommending process improvements and system changes to enhance overall quality of the data; resolving or escalating issues to ensure remediation as appropriate; and reviewing final data set(s) for analysis.
- Supervises the execution of creative data analytic approaches leading to actionable outcomes by providing guidance on data design and analysis; reviewing metrics to be analyzed; defining, calculating, and validating algorithms; reviewing results of analyses; and serving as a point of escalation and technical support for descriptive, correlational, inferential, and/or predictive analyses.
- Supervises the development, implementation, and automation of business and reporting solutions by working with stakeholders to ensure their design, planning, and implementation needs are being met while ensuring consistency and coherency; reviewing results; ensuring data reports, visualizations, and/or interactive Business Intelligence (BI) reports meet established standards; reporting to stakeholders on key findings; and leading the preparation of documentation.
- Leads data analysis interpretation by reviewing findings and their application to contextual settings; reviewing insights, reports, and presentations; providing guidance and coaching to ensure a compelling story for stakeholders and to enable and influence decision making; and sharing insights with internal and/or external audiences.
- Leads the development of analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating and reviewing models leading to actionable insights; and testing, refining, and validating models.
Minimum Qualifications:
- Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
- Minimum five (5) years progressive corporate, non-profit, or consulting experience, including Minimum three (3) years in data analytics or directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.
- Minimum two (2) years experience in a leadership role with or without direct reports.
Additional Requirements:
- Knowledge, Skills, and Abilities (KSAs): Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Relational Database Management; Vendor Management; Delegation; Project Management
- Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
- Doctorate degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
This supervisory level employee is primarily responsible for driving strategic data-informed decisions, leading data and information collection on targeted variables in an established systemic fashion, and leading data preparation for analytic efforts.
This position supervises the execution of creative data analytic approaches leading to actionable outcomes, supervises the development, implementation, and automation of business and reporting solutions, leads data analysis interpretation, and leads the development of analytics and/or statistical models enabling informed business decisions.Essential Responsibilities:
- Pursues professional growth by soliciting and acting on performance feedback; building collaborative relationships; training and developing talent for growth opportunities; delegating tasks and decisions; fostering open dialogue amongst team members; supporting execution of performance management guidelines and expectations; ensuring team collaboration; and coaching to drive performance improvement.
- Supervises day-to-day activities of designated work team or unit by overseeing the execution of tactical action items; ensuring all policies and procedures are followed; delegating tasks to meet short term deliverables; overseeing the completion of work assignments; aligning team efforts and measuring progress in achieving results; identifying and recommending improvement opportunities; and removing obstacles that impact performance.
- Drives strategic data-informed decisions by consulting with senior-level clients to identify and clarify key business needs; leading the development of outcomes and process measures; leading 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; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; ensuring end-users are supported and trained; and leading documentation of processes and deliverables.
- Leads data and information collection on targeted variables in an established systematic fashion by reviewing data sources; providing guidance regarding data collection methods and analysis; leading routine data refresh and update; leading the development and/or delivery of tools for electronic data collection; ensuring users are trained and supported; and leading documentation.
- Leads data preparation for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; recommending process improvements and system changes to enhance overall quality of the data; resolving or escalating issues to ensure remediation as appropriate; and reviewing final data set(s) for analysis.
- Supervises the execution of creative data analytic approaches leading to actionable outcomes by providing guidance on data design and analysis; reviewing metrics to be analyzed; defining, calculating, and validating algorithms; reviewing results of analyses; and serving as a point of escalation and technical support for descriptive, correlational, inferential, and/or predictive analyses.
- Supervises the development, implementation, and automation of business and reporting solutions by working with stakeholders to ensure their design, planning, and implementation needs are being met while ensuring consistency and coherency; reviewing results; ensuring data reports, visualizations, and/or interactive Business Intelligence (BI) reports meet established standards; reporting to stakeholders on key findings; and leading the preparation of documentation.
- Leads data analysis interpretation by reviewing findings and their application to contextual settings; reviewing insights, reports, and presentations; providing guidance and coaching to ensure a compelling story for stakeholders and to enable and influence decision making; and sharing insights with internal and/or external audiences.
- Leads the development of analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating and reviewing models leading to actionable insights; and testing, refining, and validating models.
Minimum Qualifications:
- Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
- Minimum five (5) years progressive corporate, non-profit, or consulting experience, including Minimum three (3) years in data analytics or directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.
- Minimum two (2) years experience in a leadership role with or without direct reports.
Additional Requirements:
- Knowledge, Skills, and Abilities (KSAs): Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Relational Database Management; Vendor Management; Delegation; Project Management
- Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
- Doctorate degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
About Kaiser Permanente
At Kaiser Permanente, we’re all focused on helping people and providing high-quality, affordable health care services and to improve the health of our members and the communities we serve. Across our organization, we’re fiercely committed to our members, our mission, our communities, and each other. We know that each part of the Kaiser Permanente team is essential to our success. Together, we are more than 235,000 dedicated professionals working to advance Kaiser Permanente’s commitment to delivering a healthier tomorrow.
Driven by our collective passion at Kaiser Permanente, we strive to make health care more innovative and compassionate. With the wellness of our patients and our communities at heart, we work to revolutionize health and care from more than 650 locations in 8 states and D.C.
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