FEP Business Intelligence Analyst

Hybrid role (3 days/week in office) at our Portland, Vancouver, Renton, Salt Lake City, Boise, Little Rock, Springdale, Fargo, Medford, Burlington, and Lewiston offices. Candidates must reside within commutable distance of that location or be willing to relocate.

Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.

Every day, Cambia’s dedicated team of FEP Business Intelligence Analysts is living our mission to make health care easier and lives better. As a member of the FEP Data Analytics team, our FEP Business Intelligence Analysts build FEP analytics, ad-hoc reports, and Sigma or Tableau dashboards using Python for scripting; analysis of claims, customer service, and clinical data; manage projects, communicate with stakeholders, and collaborate with cross-departmentally to meet varied deadlines– all in service of creating an economically sustainable health care system.

Do you thrive in a fast-paced environment where collaboration and flexibility are key? Are you energized by turning data into insights that help shape better health plan operations? Then this role may be the perfect fit.

What You Bring to Cambia:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Information Technology, Economics, or a related field
• 3+ years of related work experience
• An equivalent combination of education and experience will be considered

• SQL proficiency (complex queries for standard and ad hoc data mining); candidates without SQL experience must demonstrate strength in other listed areas
• Microsoft Excel skills
• Scripting and statistical tools experience, such as Python, R/RStudio, SSIS, Alteryx, and Talend
• Data visualization and reporting tools experience, such as Tableau, Micro Strategy, SPSS, and Power BI
• Interactive dashboard development for data exploration, self-service analytics, and visual storytelling
• Broad data analysis experience across datasets such as demographics, workflow, financial, and healthcare data
• Large-scale data analysis, including interpreting qualitative data (research, feedback) and incorporating it into analyses
• Research and methodology skills, with the ability to develop data mining approaches and innovative statistical or mathematical methods
• Technical aptitude at some level
• Experience with AI tools and technologies to enhance productivity and decision-making (highly desired)
• Whole-brain thinking: creative and analytical problem-solving, both independently and on teams, with the ability to learn quickly and synthesize solutions, options, and action plans
• Collaboration skills to partner with team members and business stakeholders to define, develop, and deliver analytics that support routine operations, tactical decisions, and strategic direction
• Clear communication of complex data, analyses, and findings in ways that support business decisions and program efforts
• Independent work with strong management of deliverable timelines and clients
• Accuracy and quality focus, producing error-free deliverables and supporting a peer review culture

• Partner cross-functionally to understand business objectives and deliver routine and ad hoc analyses that are clear and relevant to stakeholders, including reporting that meets stakeholder agreements
• Design and execute analytics projects from start to finish, including conceptualization, methodology, data sourcing, analysis structure, and reporting or data visualization
• Ensure timely delivery of accurate project reporting and analyses, and provide insights to internal partners on tracking deliverables and ad hoc projects drawing on multiple sources across Health plan Operations
• Turn data into action by…