Business Intelligence Analyst Senior

United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Experience
Minimum of 8 years
Required Skills
SQLTableau

Requirements

  • High School Diploma or Equivalent (GED)
  • Minimum of 8 years of relevant experience
  • Proficiency with SQL
  • Proficiency with Tableau
  • Proficiency with Epic EHR Clarity Database
  • Ability to discover insights in large and complex data sets
  • Ability to proactively anticipate business needs
  • Strong SQL experience including joins and subqueries, pivots, aggregate functions, query optimization
  • Ability to mentor junior analysts on technical concepts including SQL query performance/validation and visualization concepts
  • Group Problem Solving skills
  • Teamwork skills

Responsibilities

  • Perform tasks related to project completion including analysis, testing, documentation, problem resolution, and implementation of solutions.
  • Perform tasks related to report development including requirements gathering, specification and definition documentation, design, testing, validation, analysis, and maintenance for all reporting projects.
  • Gather requirements and define scope independently on projects of all size.
  • Support Associate and Intermediate analysis in this task across projects.
  • Facilitate gathering scope in large projects across multiple analysts.
  • Plan projects and provide time and effort estimates based on requirements gathering.
  • Build solution architecture for both business intelligence and data project work.
  • Locate and identify data needed, profiles to determine quality and appropriateness, understands necessary manipulation and relationships to be established, and recognizes how to transform the data set to establish what is needed for next stage BI and reporting.
  • Deliver clear requirements for requests to perform ETL from other team members.
  • Educate others on key data literacy concepts.
  • Follow data governance and stewardship practices as defined, performing documentation and discovery associated with these initiatives.
  • Identify data quality issues while performing data profiling and testing and validation.
  • Act as a data steward and resolve issues or work with appropriate parties to have issues resolved and documented.
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