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Data Visualization Specialist II

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: AmerisourceBergen
Full Time position
Listed on 2026-01-07
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 105820 USD Yearly USD 105820.00 YEAR
Job Description & How to Apply Below

Employer Industry: Healthcare Services

Why consider this job opportunity
  • Salary up to $105,820
  • Comprehensive benefits package including medical, dental, and vision care
  • Support for working families, including backup dependent care and paid parental leave
  • Opportunities for personal growth through training programs and mentorship initiatives
  • Collaborative and inclusive work environment focused on employee wellness
  • Chance to make a meaningful impact in the healthcare industry
What to Expect (Job Responsibilities)
  • Develop appealing and understandable data visualizations to enhance business insights
  • Collaborate with business analytics team to gather requirements and translate needs into visualization solutions
  • Conduct testing to ensure business analytics solutions meet user specifications
  • Provide technical coaching and mentoring to less-experienced team members
  • Assist in the adoption of insights-driven decision-making processes across the organization
What is Required (Qualifications)
  • Bachelor’s degree in Computer Science, Data Analytics, Business Intelligence, or a related field
  • Minimum of 5 years of experience in data visualization, business intelligence, or a related discipline
  • 3-7 years of experience in developing business analytics solutions with a focus on visualization
  • Proficiency in Power BI for creating dashboards and reports, including DAX and M Code
  • Strong understanding of Agile methodologies and experience working in Agile teams
How to Stand Out (Preferred Qualifications)
  • Experience with data visualization/BI tools such as Qlik or Tableau
  • Knowledge of specific business areas such as SAP, Data Bricks, or Salesforce
  • Familiarity with data transformation and visualization workflows in Databricks
  • Ability to simplify complex data for both technical and non-technical audiences
  • Strong analytical and problem-solving skills

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