Senior 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. You’ll be a mentor to
others on the team and across the business, encouraging them to be flexible, proactive,
and solution focused. Through a consultative approach, you will be a trusted partner
throughout the company to advise on improving outcomes with robust analytics.
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.
• Design, create and implement comprehensive BI and analytics solutions, and
encourage the adoption of self-service analytics throughout the organization
• Develop, maintain, and support modern data pipelines while staying informed
on data analytics trends and following industry best practices for data
warehousing, ETL, ELT, and data analytics
• 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
• Guide the team to develop and maintain Enterprise Data Lakehouse
• Partner with cross-functional Enterprise Data Management and Data Science
teams to understand analytic requirements and build efficient and scalable data
solutions
• 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.
• Assist with the DataOps delivery pipeline and processes
• Mentor other analysts and data engineers, encouraging flexibility, proactivity,
and solution-focused approaches
• Participate in architectural design decisions and communicate those to your
team
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