Business Intelligence Engineer
New York, New York, United States
- Pay
$120,000–150,000/year — pay source
Wellness stipend The annual salary range for the target level for this role is $120,000 - $150,000 + equity + benefits, including medical, dental, and vision. Final compensation will be determined based on a variety of factors including relevant experience, interview performance, and internal equity. Courier Health is proud to be an Equal Employment Opportunity employer.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou’ll be the owner of business intelligence at Courier Health, driving how internal teams and clients see and understand their data.
Own our BI layer: design, build, and maintain Sigma dashboards and workbooks that our end-users rely on for embedded in-product reporting and analytics.
Build the models underneath: develop dbt models and SQL transformations, backed by tests, that turn raw data into reliable, well-documented datasets purpose-built for reporting.
Improve pipeline reliability: help monitor replication and orchestrated pipelines, investigate data issues, and add quality checks upstream of the datasets you report on.
From the employer’s posting
You’ll be the owner of business intelligence at Courier Health, driving how internal teams and clients see and understand their data. This is hands-on, high-ownership work: building and maintaining our Sigma dashboards, developing the dbt models that power them, and partnering closely with stakeholders to turn data into decisions.
What You’ll Do Own our BI layer: design, build, and maintain Sigma dashboards and workbooks that our end-users rely on for embedded in-product reporting and analytics. Build the models underneath: develop dbt models and SQL transformations, backed by tests, that turn raw data into reliable, well-documented datasets purpose-built for reporting.
Own our BI layer: design, build, and maintain Sigma dashboards and workbooks that our end-users rely on for embedded in-product reporting and analytics. Build the models underneath: develop dbt models and SQL transformations, backed by tests, that turn raw data into reliable, well-documented datasets purpose-built for reporting. Partner with stakeholders: work directly with internal teams and customer-facing partners to scope reporting needs, define metrics, and translate ambiguous questions into clear, trustworthy dashboards.
Shape our semantic layer: define and maintain consistent metrics, naming conventions, and a shared semantic/metrics layer so numbers mean the same thing everywhere they appear. Improve pipeline reliability: help monitor replication and orchestrated pipelines, investigate data issues, and add quality checks upstream of the datasets you report on. Who You Are
What you’ll bring
All qualificationsCore experience
- 3-5 years of professional experience in business intelligence, analytics engineering, or data engineering
- Strong SQL: you write correct, readable, and performant SQL and have a strong understanding of relational data modeling
- Data modeling experience: you’ve developed data transformations (ideally in dbt) in production environments
Qualification wording
3-5 years of professional experience in business intelligence, analytics engineering, or data engineering
Strong SQL: you write correct, readable, and performant SQL and have a strong understanding of relational data modeling
Data modeling experience: you’ve developed data transformations (ideally in dbt) in production environments
Tools in this posting
- SQL
- dbt
- Looker
- Sigma
- Tableau
Source — Tool mentions in context
- Own our BI layer: design, build, and maintain Sigma dashboards and workbooks that our end-users rely on for embedded in-product reporting and analytics. - Build the models underneath: develop dbt models and SQL transformations, backed by tests, that turn raw data into reliable, well-documented datasets purpose-built for reporting. - Partner with stakeholders: work directly with internal teams and customer-facing partners to scope reporting needs, define metrics, and translate ambiguous questions into clear, trustworthy dashboards.
- 3-5 years of professional experience in business intelligence, analytics engineering, or data engineering - Strong SQL: you write correct, readable, and performant SQL and have a strong understanding of relational data modeling - BI tool experience: you’ve built dashboards and reports in a modern BI tool (e.g. Sigma, Looker, Tableau, Mode) that stakeholders actually use and trust. Bonus points if those dashboards were deployed in production systems or a user-facing application.
About the Role You’ll be the owner of business intelligence at Courier Health, driving how internal teams and clients see and understand their data. This is hands-on, high-ownership work: building and maintaining our Sigma dashboards, developing the dbt models that power them, and partnering closely with stakeholders to turn data into decisions. What You’ll Do
- BI tool experience: you’ve built dashboards and reports in a modern BI tool (e.g. Sigma, Looker, Tableau, Mode) that stakeholders actually use and trust. Bonus points if those dashboards were deployed in production systems or a user-facing application. - Data modeling experience: you’ve developed data transformations (ideally in dbt) in production environments - Stakeholder instincts: you can work with non-technical stakeholders to figure out what they actually need, not just what they asked for
- Strong SQL: you write correct, readable, and performant SQL and have a strong understanding of relational data modeling - BI tool experience: you’ve built dashboards and reports in a modern BI tool (e.g. Sigma, Looker, Tableau, Mode) that stakeholders actually use and trust. Bonus points if those dashboards were deployed in production systems or a user-facing application. - Data modeling experience: you’ve developed data transformations (ideally in dbt) in production environments
What You’ll Do - Own our BI layer: design, build, and maintain Sigma dashboards and workbooks that our end-users rely on for embedded in-product reporting and analytics. - Build the models underneath: develop dbt models and SQL transformations, backed by tests, that turn raw data into reliable, well-documented datasets purpose-built for reporting.
Benefits in the posting
Full benefits wording- 100% paid employee health benefit options (including medical, dental, and vision)
- 401(k) with employer funded match
- Unlimited Vacation
- Commuter Benefits
- Paid parental leave
- Catered lunch on Fridays
- Wellness stipend
- The annual salary range for the target level for this role is $120,000 - $150,000 + equity + benefits, including medical, dental, and vision. Final compensation will be determined based on a variety of factors including relevant experience, interview performance, and internal equity.
From the employer’s posting.
Job description
Courier Health is on a mission to solve one of the biggest and most meaningful opportunities in healthcare: reinvent how people living with chronic and rare diseases are supported.
We are building the future of patient engagement for life sciences companies. Our software is leveraged by biopharma companies to support patients in their complex journey from diagnosis to initiating and remaining on therapy to achieve optimal health outcomes.
About the Team
You’ll join an early and growing data engineering team that’s shaping the foundations of our data platform. We’re investing in a modern transformation layer, reliable pipelines, and richer in-product analytics for our clients and you’ll have real influence over how that gets built.
About the Role
You’ll be the owner of business intelligence at Courier Health, driving how internal teams and clients see and understand their data. This is hands-on, high-ownership work: building and maintaining our Sigma dashboards, developing the dbt models that power them, and partnering closely with stakeholders to turn data into decisions.
What You’ll Do
- Own our BI layer: design, build, and maintain Sigma dashboards and workbooks that our end-users rely on for embedded in-product reporting and analytics.
- Build the models underneath: develop dbt models and SQL transformations, backed by tests, that turn raw data into reliable, well-documented datasets purpose-built for reporting.
- Partner with stakeholders: work directly with internal teams and customer-facing partners to scope reporting needs, define metrics, and translate ambiguous questions into clear, trustworthy dashboards.
- Shape our semantic layer: define and maintain consistent metrics, naming conventions, and a shared semantic/metrics layer so numbers mean the same thing everywhere they appear.
- Improve pipeline reliability: help monitor replication and orchestrated pipelines, investigate data issues, and add quality checks upstream of the datasets you report on.
Who You Are
We’re open on exact tools — we care about fundamentals and trajectory. You’ll likely have most of the following:
- 3-5 years of professional experience in business intelligence, analytics engineering, or data engineering
- Strong SQL: you write correct, readable, and performant SQL and have a strong understanding of relational data modeling
- BI tool experience: you’ve built dashboards and reports in a modern BI tool (e.g. Sigma, Looker, Tableau, Mode) that stakeholders actually use and trust. Bonus points if those dashboards were deployed in production systems or a user-facing application.
- Data modeling experience: you’ve developed data transformations (ideally in dbt) in production environments
- Stakeholder instincts: you can work with non-technical stakeholders to figure out what they actually need, not just what they asked for
- Eagerness to learn: you take feedback well, ask good questions, and are excited to grow as an engineer
Benefits
- 100% paid employee health benefit options (including medical, dental, and vision)
- 401(k) with employer funded match
- Unlimited Vacation
- Commuter Benefits
- Paid parental leave
- Catered lunch on Fridays
- Wellness stipend
The annual salary range for the target level for this role is $120,000 - $150,000 + equity + benefits, including medical, dental, and vision. Final compensation will be determined based on a variety of factors including relevant experience, interview performance, and internal equity.
Courier Health is proud to be an Equal Employment Opportunity employer.
We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Source & posting history
Source notes
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- Pay
Wellness stipend The annual salary range for the target level for this role is $120,000 - $150,000 + equity + benefits, including medical, dental, and vision. Final compensation will be determined based on a variety of factors including relevant experience, interview performance, and internal equity. Courier Health is proud to be an Equal Employment Opportunity employer.
- Location & working pattern
New York, New York, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 12, 2026
- Recorded sightings
- 7
- Last seen by us
- Oct 6, 2026
- Employer says posted
- Sep 10, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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