Data Reporting and Analytics Consultant IV

Kaiser Permanente; Portland, Northern (OR, KY); Hybrid; USD 100,000 - 140,000; Full time

Job summary

Kaiser Permanente is seeking an experienced analytics professional to join the Risk Adjustment Data Provisioning team in Portland. The role focuses on data gathering, cleaning, and transforming large healthcare datasets to enable analytic efforts and actionable insights.

The ideal candidate uses SQL and statistical methods to drive business decisions, develops automated reporting, and collaborates across stakeholders to improve data quality and outcomes in Medicare Advantage, ACA, and Medicaid

Qualifications

• Bachelor's 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.

Responsibilities

• Defines, calculates, and validates metrics; conducts descriptive, correlational, inferential, and predictive analyses.
• Develops and automates BI reports; communicates findings to stakeholders.
• Gathers data, validates sources, merges across sources, and ensures data quality for analytic efforts.

Skills

Ambiguity/Uncertainty Management

Attention to Detail

Communication

Critical Thinking

Cross-Group Collaboration

Decision Making

Dependability

Problem Solving

Teamwork

Written Communication

Education

Bachelor's degree in Mathematics, Statistics, Engineering, or related field

Tools

Data Extraction

Data Mining

Data Visualization Tools

Project Management

Relational Database Management

Statistical Programming Language

Excel

Job description

Overview:

The Risk Adjustment Data Provisioning team provides on-spec Medicare Advantage, ACA and Medicaid data to internal clients, vendors and consultants to support critical initiatives and projects. We are looking for strong SQL coding and transformation, and comfort moving large datasets. Robust QA documentation, excellent communication and collaboration, and creative problem-solving skills are key in this role. Knowledge of claims, healthcare analytics and Risk Adjustment experience are highly desired.

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 experience working with database software (e.g., Access).
• Two (2) years experience working with data analysis software (e.g., Minitab, QI Macros, Tableau, etc.).
• Two (2) years of experience working with Tableau BI , Oracle, SharePoint, and/or Excel (e.g., creating pivot tables).
• Two (2) years of experience working with qualitative and quantitative analyses.
• Two (2) years of experience working with Medicaid.
• Two (2) years of experience working with the Project Management Office (PMO).
• Two (2) years of experience working with qualitative and quantitative analyses.
• Two (2) years of experience working with Medicare.
• Two (2) years of experience working in an integrated healthcare delivery system.
• Three (3) years experience in business analysis.
• Two (2) years data analytics experience.
• Two (2) years experience working with advanced Excel functions including, formulas, pivot tables, vlookup, etc.
• One (1) years healthcare experience.
• One (1) years experience developing and delivering presentations to management.