Business Intelligence Engineer
Tempus Open At a glance
Mid-level Data Analysis & BI role at Tempus. Chicago · full-time · $70,000–$90,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build dashboards, reports and self-service analytics so teams can track their work
- Turn stakeholder needs into KPIs, reporting requirements and measures of success
- Prepare analytics datasets with SQL and transformation logic, and maintain shared data models
- Check dashboard results for errors, resolve mismatches and strengthen data definitions and documentation
- Analyze unplanned questions, explain operational trends and automate recurring reports
What you bring
- You have worked in BI, analytics, data analysis or a closely related role
- You can use SQL with relational databases and structured data, and build reports in a BI platform
- You can turn business requests into reporting solutions and understand data models and metric definitions
- A quantitative or technical degree, or equivalent practical experience, meets the education requirement
Who this fits
This mid-level role suits someone who can work across business and technical teams and explain data to both technical and non-technical audiences. The position is based in Chicago.
From the employer
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
Role Overview
Tempus is seeking a Business Intelligence (BI) Engineer to support reporting, analytics, and data solutions that help teams make informed, data-driven decisions. This role partners with business stakeholders, data engineering, product, and operations teams to turn business needs into dashboards, metrics, and analytical datasets.
The BI Engineer will help develop reporting solutions, improve data accessibility, and contribute to a strong data culture across the organization.
Key Responsibilities
- Build and maintain BI dashboards, reports, and self-service analytics tools for cross-functional stakeholders.
- Partner with business teams to define KPIs, reporting requirements, and success metrics.
- Support the development and maintenance of curated data models for consistent reporting.
- Write SQL and data transformation logic to prepare data for analytics use cases.
- Collaborate with data engineers and platform teams to support business reporting needs.
- Validate data accuracy and troubleshoot discrepancies in reports and dashboards.
- Improve documentation, metric definitions, and data governance practices for analytics assets.
- Support ad hoc analysis and help stakeholders interpret trends and operational insights.
- Identify opportunities to automate recurring reporting.
- Contribute to BI best practices, visualization standards, and data quality monitoring.
Required Qualifications
- Bachelor’s degree in a quantitative or technical field such as Computer Science, Information Systems, Statistics, Mathematics, Economics, or a related discipline, or equivalent practical experience.
- Experience in business intelligence, analytics, data analytics, or a similar role.
- Strong SQL skills and experience working with relational databases and structured datasets.
- Experience building dashboards and reports in BI tools such as Tableau, Looker, Power BI, or similar platforms.
- Ability to work with business stakeholders to translate requirements into reporting solutions.
- Familiarity with data modeling concepts and metric definitions.
- Strong attention to detail and commitment to data accuracy and quality.
- Effective communication skills with both technical and non-technical audiences.
Preferred
- Experience working in healthcare, life sciences, diagnostics, or other regulated environments.
- Familiarity with data transformation tools such as dbt or similar frameworks.
- Experience with Python, R, or another scripting language for analysis or automation.
- Understanding of data warehousing concepts and modern analytics stacks.
- Exposure to operational analytics or product analytics.
- Experience documenting KPIs, business logic, and analytics definitions for shared use.
CHI: $70,000-$90,000The expected salary range may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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