Data Reporting and Analytics Consultant IV - Python, SQL, ETL

Kaiser Permanente-posted 4 months ago
Oakland, CA
Ambulatory Health Care Services
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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.

  • 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 and influences others through technical explanations and examples.
  • Adapts to competing demands and new responsibilities, listens and responds to, seeks, and addresses performance feedback.
  • Provides feedback to others and creates and executes plans to capitalize on strengths and develop weaknesses.
  • Supports team collaboration and adapts to and learns from change, difficulties, and feedback.
  • Completes work assignments and supports business-specific projects by applying expertise in subject area.
  • Supports the development of work plans to meet business priorities and deadlines.
  • Ensures team follows all procedures and policies and coordinates resources to accomplish priorities and deadlines.
  • Collaborates cross-functionally to make effective business decisions and solves complex problems.
  • Escalates high priority issues or risks as appropriate and recognizes and capitalizes on improvement opportunities.
  • Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed.
  • Defines, calculates, and validates algorithms and conducts 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.
  • Evaluates and summarizes data and results, creating summary statistics and developing data reports, visualizations, and/or interactive Business Intelligence (BI) reports.
  • Reports to stakeholders on key findings and identifies needs for the development and implementation of additional reporting solutions.
  • Prepares documentation as appropriate and interprets data analyses by applying findings to contextual settings.
  • Develops insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making.
  • Provides 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.
  • Develops outcomes and process measures, translating business requirements, and determining data/information needs and data collection methods.
  • Develops analysis plans and measures the impact of business decisions on clients, customers, and/or members.
  • Works with clients and staff to identify opportunities and methods to improve efficiencies with analysis.
  • Supports and trains end-users and documents processes and deliverables.
  • Gathers data and information on targeted variables in an established systematic fashion by validating data sources.
  • Queries, merges, and extracts data across sources, completing routine data refresh and update.
  • Develops and/or delivers tools for electronic data collection and provides user training, support, and documentation.
  • Develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements.
  • Creates models leading to actionable insights and tests, refines, and validates models.
  • Prepares data for analytic efforts by integrating and consolidating data, ensuring data quality and accuracy.
  • Profiles data inaccuracies and recommends process improvements or system changes to enhance overall quality of the data.
  • Cleans and creates final data set(s) for analysis.
  • 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.
  • 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.
  • Knowledge of negotiation.
  • Business planning skills.
  • Strong written communication skills.
  • Experience with data extraction.
  • Proficiency in data mining.
  • Familiarity with data visualization tools.
  • Knowledge of statistical programming languages.
  • Experience with relational database management.
  • Vendor management skills.
  • Project management experience.
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