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Kaiser Permanente

Data Reporting and Analytics Consultant IV

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What they do

A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.

$79,490 / year median in Colorado

+18% projected growth

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Job Description

Overview:
The Reporting & Analytics Consultant IV is a technical leader responsible for designing, developing, and delivering enterprise Power BI reporting solutions that support Revenue Cycle operations and strategic decision-making. This role requires advanced expertise in Power BI, DAX, SQL, Tabular Editor, governed semantic models, and report performance optimization, with experience in Databricks or other cloud analytics platforms preferred. The ideal candidate independently leads complex reporting initiatives, mentors team members, ensures production quality through governance and validation, and partners with business and technical stakeholders to deliver scalable, high-performing BI solutions. Healthcare Revenue Cycle reporting experience and strong leadership, analytical, and communication skills are highly desirable .
Job Summary:
This individual contributor is primarily responsible for driving strategic data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, preparing data for analytic efforts, and interpreting data analyses. This position executes creative data analytic approaches leading to actionable outcomes, develops, implements, and automates business and reporting solutions, and develops analytical and/or statistical models enabling informed business decisions.
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.
Knowledge, Skills and Abilities:
(Core) Ambiguity/Uncertainty Management Attention to
Detail Business Knowledge Communication Critical Thinking Cross-Group Collaboration Decision Making Dependability Diversity, Equity, and Inclusion Support Drives Results Facilitation Skills Health Care Industry Influencing Others Integrity Learning Agility Organizational Savvy Problem Solving Short- and Long-term Learning & Recall Teamwork Topic-Specific Communication Knowledge, Skills and Abilities:
(Functional)
Business Planning Data Extraction Data Mining Data Visualization Tools Project Management Relational Database Management Statistical Programming Language Written Communication Minimum Qualifications:
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.
Preferred Qualifications:
Two (2) years project management experience. Two (2) years experience in process improvement.
PrimaryLocation :
Colorado,Greenwood Village,Greenwood Plaza IT HoursPerWeek :
40
Shift :
Day Workdays :
Mon, Tue, Wed, Thu, Fri WorkingHoursStart :
09:00
AM WorkingHoursEnd :
04:00
PM Job Schedule :
Full-time Job Type :
Standard Employee Status :
Regular Employee Group/Union Affiliation :
NUE-PO-01
|NUE|
Non Union Employee Job Level :
Individual Contributor Job Category :
Data Analytics Department :
Po/Ho Corp - PFS Mgmt_Ops Control - 0308
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.
Colorado Residents:
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.