Data Reporting and Analytics Consultant IV, Business Intelligence

Overview:

The RPMO serves the president and senior leadership team of Kaiser Foundation Hospitals and Health Plan for Northern California. We are a dynamic, innovative team solving complex operational challenges to achieve exceptional outcomes for our people, members, and communities.

This position offers the opportunity to measure the impact of transformational initiatives and expand the use of analytics to address the organization's most persistent business challenges. It also offers the opportunity to partner with regional and local leaders to build intuitive dashboards and automate reporting processes that support strategic decision-making. As the team grows, there is potential to explore AI-driven solutions that further enhance operational performance. Ideal candidates thrive in fast-paced environments, embrace ambiguity, and are energized by the opportunity to help leaders answer critical questions that drive enterprise success.

Job Summary:

In addition to the responsibilities listed below, this senior individual contributor Business intelligence (BI) position is also responsible for a combination of duties spanning business analytics, data mining, data visualization, and data tools and infrastructure. This includes leveraging KP practices to help the organization make sound data-driven decisions.

This position is also be responsible for transforming data into actionable insights that will help drive KPs strategic and operational business decisions. This includes using BI tools (e.g., Cognos, Tableau, Power BI, etc.) to access and analyze data sets and present analytical findings in visually driven and focused reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of KPs business.

Essential Responsibilities:

• 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.

Minimum Qualifications:

• Minimum five (5) years experience programming with Cognos or other BI tool.
• Minimum three (3) years experience applying folder and data security.
• Minimum two (2) years experience in relational and dimensional data Modeling.
• 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.

Additional Requirements:

• Knowledge, Skills, and Abilities (KSAs): Storytelling; Data Modules; Job Scheduling; Database Compliance & Security Technologies; BI Dashboard; Business Intelligence; Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management

Preferred Qualifications:

• Three (3) years statistical modeling experience.
• Three (3) years experience working with statistical analysis software.

Primary Location: California,Pleasanton,Pleasanton Tech Cntr Building E
Scheduled Weekly Hours: 40
Shift: Day
Workdays: Mon, Tue, Wed, Thu, Fri
Working Hours Start: 09:00 AM
Working Hours End: 05:00 PM
Job Schedule: Full-time
Job Type: Standard
Worker Location: Remote
Employee Status: Regular
Employee Group/Union Affiliation: NUE-NCAL-09|NUE|Non Union Employee
Job Level: Individual Contributor
Department: Oakland Reg - 1950 Franklin - Plan&Suppt-Opertnl/Bus Consltg - 0208
Pay Range: $130200 - $168410 / year Kaiser Permanente is committed to pay equity and transparency. The posted pay range is based on possible base salaries for the role and does not include the value of our total rewards package. Actual pay determined at offer will be based on years of relevant work experience, education, certifications, skills and geographic location along with a review of current employees in similar roles to ensure that pay equity is achieved and maintained across Kaiser Permanente.
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.