

Business Intelligence Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include 5+ years in data analysis, proficiency in SQL and data visualization tools, and experience with AWS solutions.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 11, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Bellevue, WA
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π§ - Skills detailed
#Oracle #Complex Queries #Scala #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Redshift #AWS (Amazon Web Services) #Python #DynamoDB #Visualization #Scripting #SQL (Structured Query Language) #Data Mining #Data Analysis #BI (Business Intelligence) #EC2 #Data Modeling #Datasets #S3 (Amazon Simple Storage Service) #NoSQL #Tableau
Role description
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Join our dynamic team as a Business Intelligence Engineer, where you'll play a pivotal role in transforming data into actionable insights. This is a fantastic opportunity to be part of a forward-thinking team, driving innovation in logistics and delivery.
Responsibilities
β’ Create and manage complex queries for both ad hoc requests and regular reporting.
β’ Develop and maintain scalable, automated systems and dashboards to support analytical needs.
β’ Design and implement key datasets that provide timely, actionable business information.
β’ Collaborate with stakeholders to gather requirements and deliver end-to-end reporting solutions.
β’ Work closely with various teams to produce comprehensive data solutions.
β’ Automate reporting and data-driven activities to maximize scalability and self-service capabilities.
β’ Utilize SQL to retrieve and analyze data, understanding a broad range of data resources.
β’ Analyze models and extract insights to provide business recommendations.
Skills
β’ 5+ years of experience in data analysis using platforms like Redshift, Oracle, or NoSQL.
β’ Proficiency in data visualization tools such as Tableau or Quicksight.
β’ Experience in data modeling, warehousing, and building ETL pipelines.
β’ Strong SQL skills for data retrieval and analysis, along with Python scripting experience.
Preferred Skills
β’ Familiarity with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
β’ Experience in data mining and handling large-scale, complex datasets in a business environment.
We are committed to fostering an inclusive environment where diversity, equity, and inclusion are integral to our company culture.
Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.