Previous Job
Business Intelligence Engineer I
Ref No.: 18-14333
Location: Seattle, Washington
Position: Business Intelligence Engineer I
Location: Seattle, WA
Duration: 6+ Months (W2 ONLY)

Job Description:

Services to be Performed:

· Owning the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
· Developing Quicksight expertise across various business teams, to drive adoption and increase visibility into key measures of business performance.
· Proposing and prioritizing changes to key metric reporting, creating additional metrics and processes based on program changes and customer requirements, and owning the data presented.
· Design, implement, and support key datasets that provide structured and timely access to actionable business information.
· Interfacing with business customers to gather data and metrics requirements, then driving analytic projects which will help solve complex challenges.
· Perform deep-dives to find the root causes behind variances of key parameters.
· Analyzing billions of rows of data and driving insights related to operation and compliance.
· Investigate and implement new big data technologies to provide automatic resolutions to address stakeholder needs.

Required Skills:
· BA/BS in Computer Science, Engineering, Statistics, Mathematics, Finance or related field.
· 3+ years' experience as a BIE, data scientist, data engineer or similar job function with a technology company.
· Demonstrated strength in SQL, data modeling, ETL development, and data warehousing.
· Advanced skills in Excel as well as any data visualization tools like Quicksight, Tableau or similar BI tools.
· Experience of working in very large data warehouse environments.
· Familiarity with AWS solutions such as Redshift, S3.
· Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management.

Preferred Skills:
· Experience to support projects involving complex data sets and high variability.
· Working knowledge of statistical methodologies.
· Experience to conduct complex data analysis (what-if scenarios, A/B testing, etc.) and use Client models.
· A history of teamwork and willingness to roll up one's sleeves to get the job done.
· Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
· Design and develop data infrastructure to support business growth.