PDS Tech Inc Senior BI Engineer in Redmond, Washington

PDS Tech is seeking a Senior Data Engineer, Analytics for a 1 8-Month Contract in Redmond, WA .

If this interests you, please apply here or email your resume to Jill Maasberg at jmaasberg@pdstech.com

The Agile BI team (also known as Starlight) is responsible for growing and supporting an end-to-end BI platform at scale that enables various audiences (from senior executives to field leaders) across many groups and businesses to monitor and manage key indicators.

We are looking for a BI Engineer who has a proven record of successfully building and supporting analytics solutions and platforms to join us in our evolution, taking a leading role in designing, implementing and evolving innovative capabilities tailored to solving complex scenarios. In this role, you will also leverage Microsoft’s latest BI and cloud technologies for practical applications and directly provide feedback and recommendations to the product engineering teams.

About the Role:

  • Design and development of key analytics capabilities using SSAS tabular modeling and DAX

  • Evolving our process and architecture by implementing new technologies (Azure PaaS, TOM)

  • Analyzing and solving complex business problems, breaking down the work into actionable tasks, and working with our PMs to plan and communicate delivery commitments

  • Consistently improving and optimizing tabular models to achieve peak performance across the entire analytics platform

  • Thought leadership, creation, and execution of new platform capabilities

About You:

  • BA/BS in operations, computer science, mathematics, statistics, or other technical/quantitative discipline

  • 6+ years of BI development experience using MS based technologies

  • 3+ years of experience developing SSAS tabular models with large and complex datasets

  • Strong proficiency in DAX, SQL, Excel, Power BI

  • Excellent problem solving, critical thinking skills, and communication skills

  • Azure and COSMOS experience highly valued

  • Machine Learning, Data Science, and statistical modeling preferred

  • Knowledge of Microsoft data assets/systems preferred

All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.