Business Intelligence Engineer V

4 weeks ago


Seattle, United States Intelliswift Full time

Pay rate range - $80/hr. to $82/hr. on W2
Hybrid 3 days in person 2 remote

Must Have
Ability to interact with large data sets
High-quality dashboards and reports
Navigate ambiguous requests and optimal solution

Job Responsibilities include:
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

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 tools
Experience with data modeling, warehousing, and building ETL pipelines
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 Redshift
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 Qualifications
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

Performance Measurements-
Milestones



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