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    Title: Business Intelligence Engineer V Duration: 12 months Location: Seattle, WA 98109 ONSITE Interviews: 1st phone 2nd and 3rd in-person interviews Job Responsibilities: Work with stakeholders and customers to understand and document business requirements Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards,...

Business Intelligence Engineer

1 month ago

seattle, United States TalentBurst Full time
Title: Business Intelligence Engineer V
Duration: 12 months
Location: Seattle, WA 98109 (Hybrid – 3 days onsite)
Interviews: 1st phone 2nd and 3rd in-person interviews
Job Responsibilities:
  • Work with stakeholders and customers to understand and document business requirements
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  • Drive operational excellence for data ingestion, transformation, and publication to ensure data accuracy and timeliness.
  • Adopt best practices in reporting and analysis: data integrity, test design, validation, and documentation.
  • Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
  • More independent work than collaborative
  • Successful attributes include the ability to communicate effectively with various audiences, the capacity to remain flexible and adept at learning new tools, and the ability to implement new systems within a team atmosphere. Our environment is deadline-driven and fast-paced and, therefore, requires detail-oriented individuals comfortable interacting or working with multiple teams (business and technical).

Basic Qualifications:
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 2+ Experience with data visualization using Quicksight or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience with AWS solutions such as EC2, DynamoDB, S3, Glue, and Redshift
  • Experience in advanced SQL to extract, transform and clean large (multi-TB) data sets
  • Bachelor's Degree in Statistics, Information Systems, Data Analytics, or related technical/engineering field
  • Problem Solving
  • Understanding of data engineering

Preferred Qualifications:
  • Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets
  • Master's Degree in the technical or engineering field

Top 3 must-have hard skills:
  • Ability to interact with large data sets
  • High quality dashboards and reports
  • Navigate ambiguous request and optimal solution

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