Business Intelligence Engineer

Overview:

Business Intelligence Engineer - Job Description
This position involves designing and delivering enterprise BI and analytics solutions,
developing and maintaining data pipelines, and promoting self-service analytics across
the enterprise. Your mission will be enabling and empowering the business to be more
efficient with data and champion data driven decision making. We value open and
honest communication, and we strive to create a positive and fun team-based
environment. We want teammates that challenge themselves, as well as those around
them to create high quality analytical products and services.

Responsibilities:

• 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
• Design and build data solutions and reporting needs with customers and
stakeholders. Coordinate with vendors to meet company standards and needs
• 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
• Participate in architectural design decisions and communicate those to your
team

Qualifications:

• 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

Preferences:
• Experience developing and operationalizing data pipelines for consumption in
machine learning solutions within Databricks
• Experience with Azure cloud and Python for data transformation
• Experience using version control such as Git, TFS, or SVN
• Familiarity with agile methodologies and practices
• Strong consultative approach to problem-solving

 

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Pay Range: USD $80,000.00 - USD $110,000.00 /Yr.