Quality Data Analyst

StrykerRedmond, WA
1d$76,000 - $127,000Hybrid

About The Position

What You Will Do: Work collaboratively with internal and external stakeholders to gather requirements, ensuring requirements meet the result expected Builds successful working relationships with internal and external stakeholders Collaborate with the Data Engineering team to identify, support, and create scalable solutions, including complex data models and statistical calculations as needed. Simplify complex information to effectively present content across various levels. Prepare data as required. This includes collecting, organizing, and cleaning data to extract valuable insights from the raw data set. Prior experience of best practices to collect required data. Build Power BI reports and dashboards based on requirements & collaborate to develop and deliver training and consultations on how to use data and insights based on those reports and dashboard modes. Investigate reporting issues from quality assurance and provide technical expertise to resolve and follow-up in a timely manner Work efficiently with large data sets from complex processes to derive insights creating custom Structured Query Language (SQL) for data queries where needed

Requirements

  • Bachelor's degree in Data Engineering, Computer Information Systems, Data Analytics, Business Analytics, Computer Science, Computer Engineering, or Data Science
  • Understanding and experience with Microsoft BI products and services.
  • Software development skills for support of Power BI tools.

Nice To Haves

  • Master’s degree
  • Prior experience with Power BI Tools, with expertise in Power BI
  • Prior experience in a regulated environment
  • Experience acquiring and preparing data from multiple ERP systems such as AS400, Oracle, SAP and JDE

Responsibilities

  • Work collaboratively with internal and external stakeholders to gather requirements, ensuring requirements meet the result expected
  • Builds successful working relationships with internal and external stakeholders
  • Collaborate with the Data Engineering team to identify, support, and create scalable solutions, including complex data models and statistical calculations as needed.
  • Simplify complex information to effectively present content across various levels.
  • Prepare data as required. This includes collecting, organizing, and cleaning data to extract valuable insights from the raw data set.
  • Prior experience of best practices to collect required data.
  • Build Power BI reports and dashboards based on requirements & collaborate to develop and deliver training and consultations on how to use data and insights based on those reports and dashboard modes.
  • Investigate reporting issues from quality assurance and provide technical expertise to resolve and follow-up in a timely manner
  • Work efficiently with large data sets from complex processes to derive insights creating custom Structured Query Language (SQL) for data queries where needed
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