Data Reporting and Analytics Consultant IV

Kaiser Permanente; Greensboro (NC); On-site; USD 140,000 - 180,000; Full time

Job summary

Kaiser Permanente in Greensboro, NC is seeking a Data Reporting & Analytics Consultant IV to support enterprise referral analytics, service authorization reporting, and data quality initiatives. You will design, develop, and maintain scalable analytics solutions, collaborating with business, IT, and operations teams to improve data integrity and decision-making.

The role emphasizes SQL development, data modeling, dashboards with Power BI and Databricks, and potential ML opportunities to detect

Qualifications

• Bachelor's degree in a quantitative field.
• Minimum 5 years of data analytics experience; leadership experience is a plus.
• Strong SQL, data modeling, and dashboard development skills.

Responsibilities

• Develop and maintain enterprise datasets and automated data quality monitoring.
• Design dashboards and visualizations to enable data-driven decision making.
• Collaborate with business, IT, and operations teams to deliver scalable analytics solutions.
• Perform advanced statistical analyses and trend analyses; explore ML opportunities to detect anomalies.
• Lead cross-functional initiatives spanning referral analytics, utilization management, regulatory reporting, and data quality.
• Prepare documentation and present findings to stakeholders with clear storytelling.

Skills

SQL

Databricks

Power BI

Data modeling

Data profiling

Dashboard development

Machine learning

Stakeholder mgmt

Education

Bachelor's degree in a quantitative field

Tools

Databricks

Power BI

SQL Server

Job description

Overview:

The Data Reporting & Analytics Consultant IV (DRAC IV) is a key member of the Data Reporting & Analytics team, supporting enterprise referral analytics, service authorization reporting, and data quality initiatives across Kaiser Permanente. This role partners closely with business, operational, regulatory, and technology teams to design, develop, and enhance scalable analytics solutions that improve data integrity, reporting accuracy, operational efficiency, and decision-making. The consultant will lead complex analytical efforts spanning referral, utilization management, regulatory, operational, and data quality domains. Responsibilities include developing and maintaining enterprise datasets, creating automated data quality monitoring solutions, designing dashboards and visualizations, performing advanced statistical and trend analyses, and identifying opportunities to leverage machine learning and AI to improve processes and proactively detect anomalies. This role requires strong expertise in SQL development, data modeling, data profiling, root-cause analysis, and dashboard development using modern analytics platforms such as Databricks and Power BI. The ideal candidate possesses a passion for solving complex business problems, translating data into actionable insights, and building innovative solutions that drive measurable business value. Success in this role requires exceptional analytical thinking, strong communication and stakeholder management skills, and the ability to work independently while partnering effectively across business, IT, and operational teams. The ideal candidate will have experience working with large healthcare datasets and a proven ability to apply advanced analytics, machine learning, and visualization techniques to support enterprise-scale reporting, monitoring, and decision-making.

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.