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Data Reporting and Analytics Consultant II - SQL, DBX, Risk Adjustment

Kaiser Permanente

Oakland, CAJobSeen 2 days agoSeen in employer's feed 2 days ago

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At a glance

Compensation
No compensation found
Location
Oakland, CA
Work Authorization
Not specified

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Job overview

The Risk Adjustment Strategic Analytics team seeks a Data Reporting and Analytics Consultant to support complex analytics, communicate findings, and generate actionable insights for strategic decisions. The role assists senior employees with data gathering and preparation, analysis interpretation, and development and automation of reporting solutions. Preferred qualifications include exposure to Risk Adjustment, data visualization, and working knowledge of Azure Synapse SQL, Power BI, Excel, and PowerPoint; Databricks, Python, GitHub, Jira, or statistical modeling are bonuses.

Skills & qualifications

RequiredNice to have

Skills

Ambiguity ManagementAttention to DetailBusiness KnowledgeCommunicationCritical ThinkingCross-Group CollaborationDecision MakingDependabilityDiversity Equity and Inclusion SupportResults OrientationFacilitationHealthcareInfluencing OthersIntegrityLearning AgilityOrganizational SavvyProblem SolvingLearning and RecallTeamworkTopic-Specific CommunicationData MiningData Visualization ToolsStatistical Programming LanguageWritten CommunicationRisk AdjustmentData VisualizationAzure Synapse SQLPower BIExcelPowerPointDatabricksPythonGitHubJiraStatistical ModelingAccessData Simulation

Qualifications

Bachelor's in Listed Field or Two Years Data Analytics ExperienceOne Year Access ExperienceOne Year Data Simulation Experience

Full job description

** 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:

The Risk Adjustment Strategic Analytics team is seeking a Data Reporting and Analytics Consultant to support scoping and conducting complex analytics, apply storytelling fundamentals to analyses, and help present research findings that generate actionable insights and support strategic decision-making. Ideal candidates bring strong analytical and problem-solving skills, curiosity, and a willingness to learn. Exposure to Risk Adjustment (MA, ACA, or Medicaid), data visualization, and working knowledge of Azure Synapse SQL, Power BI, Excel, and PowerPoint are preferred, along with an interest in translating data into clear business insights within a dynamic healthcare environment. Familiarity with Databricks, Python, GitHub, Jira, or statistical modeling is a bonus but not required.

Job Summary:

This individual contributor is primarily responsible for assisting senior employees in supporting data-informed decisions, assisting with data and information gathering for targeted variables in an established systematic fashion, and supporting data preparation for analytic efforts. This position assists with the execution of creative data analytic approaches leading to actionable outcomes, assists with the development, implementation, and automation of business and reporting solutions, and assists with data analysis interpretation.

Essential Responsibilities:

  • Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.

  • Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.

  • Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.

  • Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; 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 end-users; and documenting processes and deliverables.

  • Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.

  • Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.

  • Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics.

  • Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate.

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)

  • Data Mining

  • Data Visualization Tools

  • Statistical Programming Language

  • Written Communication

Minimum Qualifications:

  • Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years experience in data analytics or a directly related field.

Preferred Qualifications:

  • One (1) year experience working with Access.

  • One (1) year data simulation experience.

COMPANY: KAISER

TITLE: Data Reporting and Analytics Consultant II - SQL, DBX, Risk Adjustment

LOCATION: Oakland, California

REQNUMBER: 1457203

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.

How this job compares

Set against the 2,444 open Data Analytics jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This postingNot listed
  • California median$119–205K/yr118 salary ranges
  • US median$23–32/hr190 hourly ranges
Openings
Olive Jobs lists 168 open Data Analytics jobs in California and 2,444 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 2 years of experience — less than three in four Data Analytics postings that state a minimum ask for (median 5 years, across 1,902 postings).
Education
1,190 of the 2,444 open Data Analytics jobs (49%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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