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As a Senior BIE, you’ll play a pivotal role in developing business intelligence solutions to analyze, dive deep, and innovate for the goal of driving improvements. You will work closely with a variety of SMEs, engineers and analysts to solve challenging problems. You need be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems.
Key job responsibilities
- Drive the design, development, and maintenance of innovative and scalable intelligence solutions across the organization, with the highest standards of analytical rigor and data integrity.- Perform deep-dives and root cause analysis to answer questions
- Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Understand system inter-dependencies and limitations as well as analytic inter-dependencies to build efficient solutions.A day in the life
Benefits Summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) PlanBellevue, WA, USA
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience working directly with business stakeholders to translate between data and business needs
- Master's degree in statistics, data science, or an equivalent quantitative field
- 10+ years of business intelligence and analytics experience
- 5+ years using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data
- Experience with theory and practice of informational retrieval, data science, machine learning and data mining
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