Overview
Skills
Job Details
Position: Business Intelligence Engineer II
Location: Everett, WA 98203
Duration: 11 Months
Job Type: Temporary Assignment
Work Type: Onsite - DONOT SUBMIT ANY RELOCATION
No of openings: 5
Business Intelligence Engineer II - 3+ years
Business Intelligence Engineer III- 5+ years
Business Intelligence Engineer IV- 7+ years
Job Description
As a Business Intelligence Engineer for Fulfillment Operations , you will utilize your deep expertise in business analytics and tooling to translate the data into meaningful insights.
Through tooling, automation, data analysis, and modeling, you will create solutions to continuously measure KPIs and empower client Operations with the data and insights they need to improve the customer experience and drive efficiencies at scale.
Key job responsibilities
Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will inform and influence data-driven decisions for business operations.
Develop high-quality queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
Develop self-service automated solutions to minimize manual processes with focus on efficiency and scalability.
Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals.
Assist in the development of key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement.
Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation
Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions.
Learn and understand a broad range of client s data resources and know how, when, and which to use.
Basic Qualifications
3+ years of experience with data visualization using Tableau, Quicksight, PowerBI or similar tools
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
Advanced experience using SQL and scripting experience (Python) to process data for modeling
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS
Excellent communication skills, equally adept at working with engineers as well as business leaders
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Preferred Qualifications
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Understanding of overall system architecture, scalability, reliability, and performance in a database environment
Experience with SAP or similar inventory systems
Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Years of Experience: +3 Years
Degree or Certification: Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Leadership Principle: Learn and Be Curious, Dive Deep, Clear communication, ownership
Top 3 must-have hard skills
data visualization using Tableau OR Quicksight
Redshift, Oracle, NoSQL etc.
communication skills