Business Intelligence Engineer

Everett, WA

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Onsite

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Contract

|Job ID 71706|Posted Sep 18, 2025
JOB DESCRIPTION

Join our team as a Business Intelligence Engineer and play a vital role in transforming data into actionable insights to enhance Fulfillment Operations. Your expertise in business analytics will be key in driving efficiency and improving customer experiences on a global scale.

Responsibilities

  • Design and implement automated and user-friendly systems, reports, and dashboards to support data-driven decisions.
  • Create high-quality queries and visualizations for both immediate requests and ongoing reporting needs.
  • Develop self-service solutions to enhance process efficiency and scalability.
  • Apply analytical and statistical methods to solve complex problems and inform strategic business choices.
  • Assist in crafting key performance indicators to measure and boost overall performance.
  • Conduct thorough analyses of operational challenges, identifying opportunities for improvement and supporting their execution.
  • Collaborate with internal teams to gather requirements and deliver comprehensive solutions.
  • Gain a deep understanding of various data resources and determine the best approach for their utilization.

Skills

  • Proficiency in data visualization tools such as Tableau, Quicksight, or PowerBI.
  • Strong experience in data analysis with Redshift, Oracle, NoSQL, or similar databases.
  • Advanced SQL skills and scripting experience with Python for data processing and modeling.
  • Expertise in data modeling, warehousing, and building ETL pipelines.
  • Experience with statistical analysis tools like R or SAS.
  • Excellent communication skills for effective collaboration with engineers and business leaders.
  • Bachelor's degree in a relevant quantitative field such as BI, finance, engineering, statistics, computer science, or mathematics.

Preferred Skills

  • Experience with AWS solutions like EC2, DynamoDB, S3, and Redshift.
  • Background in data mining and using databases in a business environment with large-scale datasets.
  • Understanding of system architecture, scalability, reliability, and performance in database environments.
  • Experience with inventory systems like SAP.
  • Master's degree in a relevant quantitative field.
 

We are committed to fostering a diverse, equitable, and inclusive workplace where all individuals are valued and empowered to succeed.

 

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.

 

Horizontal is proud to be an Equal Opportunity and Affirmative Action Employer. 

We seek to provide employment opportunities to talented, qualified candidates regardless of race, color, sex/gender including gender identity and/or expression, national origin, religion, sexual orientation, disability, marital status, citizen status, veteran status, or any other protected classification under federal, state or local law.

In addition, Horizontal will provide reasonable accommodations for qualified individuals with disabilities. If you need to request a reasonable accommodation in order to complete the application or interview process, please contact us.

All applicants applying must be legally authorized to work in the country of employment.