Data Reporting and Analytics Consultant IV

Salary ranges are geographically based; the posted range reflects the NCAL region. Lower ranges apply for other labor markets outside of NCAL.

About the role

This individual contributor role leverages advanced analytical and technical expertise to transform complex data into clear, actionable insights that inform strategic decisions and drive channel partner performance. The role develops data-based models, reporting, and analyses supporting engagement, performance optimization, and decision-making across channel partners. The ideal candidate is a strong analytic thinker with a proven ability to translate data into insights that influence strategy and business outcomes.

Responsibilities

• Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; builds relationships with cross-functional stakeholders; influences others through technical explanations and examples; adapts to competing demands and new responsibilities; listens and responds to performance feedback; provides feedback to others; creates and executes plans to capitalize on strengths and develop weaknesses; supports team collaboration; adapts to and learns 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; collaborates cross-functionally to make effective business decisions; solves complex problems; escalates high priority issues or risks as appropriate; recognizes and capitalizes on improvement opportunities.
• Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics; defining, calculating, and validating algorithms; 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; evaluating and summarizing data and results; creating summary statistics; developing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting key findings to stakeholders; identifying needs for additional reporting solutions; preparing documentation.
• Interprets data analyses by applying findings to contextual settings; developing insights, reports, and presentations that tell a compelling story to enable and influence decision-making; providing context related to data interpretations and/or limitations.
• 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; working with clients and staff to identify opportunities and methods to improve efficiencies; supporting and training end-users; documenting processes and deliverables.
• Gathers data and information on targeted variables in a systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refreshes and updates; developing and/or delivering tools for electronic data collection; 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; 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; cleaning and creating final data set(s) for analysis.

Requirements

• Minimum one (1) year experience in a leadership role with or without direct reports.
• 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.
• 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.

Skills

• Core: Ambiguity/Uncertainty Management, Attention to Detail, Business Knowledge, Communication, Critical Thinking, Cross-Group Collaboration, Decision Making, Dependability, Diversity/Equity/Inclusion Support, Drives Results, Facilitation Skills, Health Care Industry Knowledge, Influencing Others, Integrity, Learning Agility, Organizational Savvy, Problem Solving, Short- and Long-term Learning & Recall, Teamwork, Topic-Specific Communication.
• Functional: Business Planning, Data Extraction, Data Mining, Data Visualization Tools, Project Management, Relational Database Management, Statistical Programming Language, Written Communication.

Schedule

• Full-time (40 hours/week).
• Shift: Day (Mon–Fri, 8:30 AM–5:00 PM).
• Work Setting: Flexible (worker location must align with Kaiser Permanente’s Authorized States policy).
• Travel: Up to 5%.

Pay

Pay Range: $133,100 – $172,150 per year. Actual base pay determined at offer based on labor market data, internal alignment, and candidate’s years of relevant work experience, education, certifications, skills, and geographic location.

Benefits

Kaiser Permanente strives to offer a market-competitive total rewards package and is committed to pay equity and transparency.