Business Intelligence Engineer II

1 week ago


North Reading, Massachusetts, United States Intelliswift Full time
Business Intelligence Engineer II Job Description

**About Intelliswift**

Intelliswift is a leading provider of robotic automation technology, and we are seeking a talented Business Intelligence Engineer II to join our team. As a data visualization specialist, you will play a key role in shaping the future of our technology and driving business insights.

**Key Responsibilities:**
  • Design and develop automated data visualizations to characterize and improve the performance of robotic automation technology.
  • Collaborate with data scientists, data engineers, and program managers to define and deliver world-class analytics tools and insights.
  • Work with partner teams to refine the business intelligence and visualization space across robotics and create data visualization standards.
  • Develop intuitive user interfaces and scalable tools to enable self-service deep dive analysis and model-driven insights.
**Requirements:**
  • Master's degree in a quantitative field (Data Science, Business Analytics, Computer Science, Mathematics, Statistics, or equivalent).
  • 6+ years of relevant experience in data and business analytics, statistical modeling, or data science.
  • Proficiency in SQL and Tableau, with experience using additional visualization tools such as QuickSight or Grafana.
  • Familiarity with AWS and big data analytic tools (EMR, AWS Athena).
  • Understanding of data warehousing and data modeling.
  • Proven problem-solving skills, project management skills, attention to detail, and exceptional organizational skills.
  • Ability to deal with ambiguity in a fast-paced environment.
  • Excellent communication (verbal and written) and interpersonal skills.
**Preferred Qualifications:**
  • Bachelor's degree in a quantitative field (Data Science, Business Analytics, Computer Science, Engineering, Mathematics, Statistics, or equivalent).
  • Experience building advanced data visualizations in Tableau to create end-to-end dashboard solutions.
  • Expertise in defining a data visualization identity for a department or company, and building data products within that brand.
  • Advanced knowledge in writing and optimizing SQL to handle vast datasets.


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