Design and build data solutions and reporting needs with customers and stakeholders
Coordinate with vendors to meet company standards and needs
Design, create and implement comprehensive BI and analytics solutions, and encourage the adoption of self-service analytics throughout the organization
Ensure the team designs, builds, tests, and maintains solutions for data transformation from a variety of data sources while modeling data in an efficient and performant manner
Document solutions, metadata, and processes to the required company standard
Assist in problem management and root cause analysis
Build data expertise and employ best practices in engineering and analytics: data quality, test designs, code reviews, documentation, continuous integration, and continuous delivery
Work with team and product owners to prioritize and estimate effort
Participate in agile ceremonies, including planning, pointing, demos, and retros

Bachelor's degree in Data Analytics, Computer Science, Applied Mathematics, Business, or a related field
1-3 years of experience in Business Intelligence, Data Engineering, or analytics
Strong knowledge of data visualization tools and SQL
Strong knowledge of data transformation tools and techniques
Experience building and designing BI semantic models in SSAS tabular with deep knowledge of dimensional modeling (e.g. Ralph Kimball methodologies/Star Schema)
Experience with modern data science languages and tools. Experience with data pipeline tools such as Azure Data Factory (ADF preferred) or Databricks workflows
Strong interpersonal communication skills and a collaborative, team-centric approach

Business Intelligence Engineer

Key skills