Data Reporting and Analytics Consultant IV - Risk Adjustment, Medicare, Medicaid, ACA

** PLEASE NOTE: Salary ranges are geographically based and the posted range reflects the Northen CA region. Lower salary ranges will apply for other labor markets outside of NCAL.

Overview:

Senior IT and transformation leader with expertise in enterprise program management, cloud migration, process automation, infrastructure modernization, and business transformation. Skilled in leading large-scale technology initiatives, partnering with executives, and delivering strategic solutions using Azure, Databricks, Microsoft 365, Active Directory, SQL Server, and analytics platforms. Strong track record of improving operational efficiency, governance, and business outcomes through technology-driven innovation.

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.

• Three (3) years programming experience.

• Two (2) years experience working in a matrixed organization.

• Three (3) years experience working with data extraction and manipulation language.

• Three (3) years experience working with Excel.

• Three (3) years experience working with SQL.

• Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.

COMPANY: KAISER

TITLE: Data Reporting and Analytics Consultant IV - Risk Adjustment, Medicare, Medicaid, ACA

LOCATION: Oakland, California

REQNUMBER: 1454769

External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with Federal, state and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran, or disability status.