Mondo
BI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a BI Engineer/Analyst in Seattle, WA, on a 6+ month contract at $76-83/hr. Requires 5+ years in business intelligence, strong SQL and Python skills, and expertise in Tableau and Quicksight. Hybrid work, 1-2 days onsite.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
664
-
🗓️ - Date
April 3, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
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📍 - Location detailed
Seattle, WA
-
🧠 - Skills detailed
#Data Modeling #"ETL (Extract #Transform #Load)" #Automation #R #S3 (Amazon Simple Storage Service) #DynamoDB #Data Science #EC2 #Scripting #Databases #NoSQL #SQL (Structured Query Language) #Data Mining #Data Analysis #BI (Business Intelligence) #ML (Machine Learning) #Datasets #Python #AWS (Amazon Web Services) #Oracle #Data Warehouse #Redshift #Tableau #Visualization #SAS #Data Processing #Matlab
Role description
Job Title: BI Engineer / Analyst
Location: Hybrid (1-2 days/week onsite) - Seattle, WA 98109
Start Date: ASAP
Duration: 6+ month contract (40 hours/week)
Compensation: $76-83/HR W2
This position is eligible for medical, dental, vision, and 401(k).
Role Overview
We are seeking a Business Intelligence Engineer/Analyst to support data-driven decision-making in a fast-paced, large-scale technology environment. The role involves collaborating with marketing, data science, and other stakeholders to extract, process, and visualize data, providing actionable insights across multiple business channels.
Key Responsibilities
• Collaborate with business teams to deliver dashboards, reports, and analyses.
• Analyze customer acquisition, channel performance, and other key business metrics.
• Develop and maintain dashboards and data visualizations using Tableau and Quicksight.
• Build, optimize, and maintain ETL pipelines for large-scale datasets.
• Apply statistical analysis techniques to support business decisions.
• Translate business requirements into technical solutions.
• Automate data processes and reporting using Python and SQL.
Required Qualifications
• 5+ years of professional experience in business intelligence, data analysis, or related fields.
• Strong SQL skills and experience querying databases or data warehouses (Redshift, Oracle, NoSQL).
• Proficiency in Python for data processing and automation.
• Experience with data modeling, warehousing, and ETL pipeline development.
• Expertise in data visualization tools: Tableau and Quicksight.
• Experience with statistical analysis packages (R, SAS, or MATLAB).
• Bachelor's degree in a related technical field.
• Self-starter with strong curiosity, able to work efficiently under deadlines.
• Experience at a major tech company or large-scale technology environment
Preferred Qualifications / Nice-to-Haves
• Hands-on experience with AWS solutions (EC2, S3, DynamoDB, Redshift).
• Knowledge of data mining, machine learning, or information retrieval.
• Experience translating business requirements into actionable technical solutions.
• Familiarity with advanced SQL and automation scripting for large datasets.
Additional Information
• Strong communication skills and ability to collaborate across cross-functional teams.
• Ability to work in a hybrid onsite environment in Seattle (1-2 days/week).
Job Title: BI Engineer / Analyst
Location: Hybrid (1-2 days/week onsite) - Seattle, WA 98109
Start Date: ASAP
Duration: 6+ month contract (40 hours/week)
Compensation: $76-83/HR W2
This position is eligible for medical, dental, vision, and 401(k).
Role Overview
We are seeking a Business Intelligence Engineer/Analyst to support data-driven decision-making in a fast-paced, large-scale technology environment. The role involves collaborating with marketing, data science, and other stakeholders to extract, process, and visualize data, providing actionable insights across multiple business channels.
Key Responsibilities
• Collaborate with business teams to deliver dashboards, reports, and analyses.
• Analyze customer acquisition, channel performance, and other key business metrics.
• Develop and maintain dashboards and data visualizations using Tableau and Quicksight.
• Build, optimize, and maintain ETL pipelines for large-scale datasets.
• Apply statistical analysis techniques to support business decisions.
• Translate business requirements into technical solutions.
• Automate data processes and reporting using Python and SQL.
Required Qualifications
• 5+ years of professional experience in business intelligence, data analysis, or related fields.
• Strong SQL skills and experience querying databases or data warehouses (Redshift, Oracle, NoSQL).
• Proficiency in Python for data processing and automation.
• Experience with data modeling, warehousing, and ETL pipeline development.
• Expertise in data visualization tools: Tableau and Quicksight.
• Experience with statistical analysis packages (R, SAS, or MATLAB).
• Bachelor's degree in a related technical field.
• Self-starter with strong curiosity, able to work efficiently under deadlines.
• Experience at a major tech company or large-scale technology environment
Preferred Qualifications / Nice-to-Haves
• Hands-on experience with AWS solutions (EC2, S3, DynamoDB, Redshift).
• Knowledge of data mining, machine learning, or information retrieval.
• Experience translating business requirements into actionable technical solutions.
• Familiarity with advanced SQL and automation scripting for large datasets.
Additional Information
• Strong communication skills and ability to collaborate across cross-functional teams.
• Ability to work in a hybrid onsite environment in Seattle (1-2 days/week).
