Job Title: BI Engineer
Location: Seattle, WA 98109
Duration: 12 Months
Job Type: Contract
Work Type: Hybrid
Pay rate: $75-75 Per HR
Job Description:
Story Behind the Need – Business Group & Key Projects:
- Software to simplify work for software developer. Remove undifferentiated work so the developers can focus on software.
- Droid analytics – Analytics, reports across builder works
Typical Day in the Role
- 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 then collaborative
Candidate Requirements:
- Successful attributes include the ability to be an effective communicator to 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 tool
- Experience with data modeling, warehousing and building ETL pipeline
- 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 Redshif
- 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 Qualification
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Master’s Degree in 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
