Senior Business Intelligence Engineer
New
J
JobgetherBusiness intelligence
Fully remote position available nationwide in the United States., Willingness to work standard Central or Eastern Time business hours.Full-TimeSenior
SalaryBase salary range of $89,000–$121,400 per year
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Job Details
- Experience
- Bachelor’s degree plus at least 3 years of technical experience in analytics, or a Master’s degree plus at least 1 year of relevant experience.
- Required Skills
- PythonMicrosoft Power BITypeScriptAngularReactData modelingDatabricksPySpark
Requirements
- Have a Bachelor’s degree and at least 3 years of technical experience in analytics, or a Master’s degree and at least 1 year of relevant experience.
- Have intermediate proficiency with Python/PySpark and Databricks.
- Have hands-on experience designing data models, taxonomies, schemas, versioning approaches, and conflict or precedence rules.
- Have intermediate Power BI expertise, including DAX, semantic modeling, and performance optimization.
- Have experience developing front-end user interfaces with TypeScript using Angular or React, or with Python frameworks such as Streamlit or Dash.
- Be able to evaluate complex data and business situations independently and make sound technical decisions.
- Be able to work standard Central or Eastern Time business hours.
- Be willing to remain in the position for at least 12 months before pursuing other internal opportunities.
- Preferred: full-stack development connecting front-end applications to back-end data stores.
- Preferred: intermediate experience with Power Automate.
- Preferred: understanding of UX and information architecture for dense, expert-user applications.
- Healthcare-related data experience is an advantage.
- The remote setup requires reliable internet connectivity of at least 25 Mbps download and 10 Mbps upload, and a dedicated workspace suitable for protecting confidential information.
- Occasional travel may be required for training or meetings.
Responsibilities
- Analyze complex business problems using internal and external data, and translate findings into actionable insights for decision-makers.
- Design and maintain data models, taxonomies, schemas, versioning approaches, and conflict or precedence rules.
- Develop and optimize Power BI solutions, including DAX, semantic models, dashboards, and performance tuning.
- Build data-driven applications and user interfaces using TypeScript frameworks such as Angular or React, or Python tools such as Streamlit and Dash.
- Use Python and PySpark within Databricks to process, analyze, and transform data for business intelligence applications.
- Combine front-end experiences with back-end data sources to deliver integrated analytics solutions.
- Contribute to the evolution of business intelligence tools, technologies, applications, and practices.
- Exercise independent judgment on technical approaches and influence departmental strategy through technical expertise.
- Collaborate with stakeholders to understand business requirements and create solutions for complex expert-user workflows.
- Support data quality and usability while developing knowledge of relevant systems, policies, tools, and business processes.
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