Analytics Engineer II
About the Role
As an Analytics Engineer II at Ophelia, you'll be instrumental in developing and refining our data warehouse for analytics, reporting, and research. This involves constructing a resilient data pipeline with a scalable data model, integrating data from various sources such as electronic medical records (EMR), patient portal, finance systems, and published events and surfacing this data in an appropriate BI tool for end stakeholders.
You will collaborate across teams to identify data-driven opportunities that propel the business forward, delivering high-quality data work using an agile methodology. Your contributions will ultimately influence key company domains, including company-level KPIs, clinical, and business operations, and more.
Our data team leverages a robust stack within Google Cloud Platform (GCP), utilizing dbt, Fivetran, BigQuery, Rudderstack, and Looker/Lightdash. Data is deeply embedded in our corporate culture, with widespread adoption of data products and a significant potential for further evolution.
In this fully remote position, you will report to our Senior Director of Data and serve as a peer to other analysts and analytics engineers as our team expands. You will work closely with the broader Technology Team to cultivate a culture of data-driven decision-making, ultimately enhancing patient care. You'll oversee analytics data across diverse domains like finance, clinical operations, and company KPIs, ensuring its high-quality availability through supporting systems. You will also be responsible for populating data in all data products, managing infrastructure, and implementing tests and alerts to maintain data quality.
Together, we are dedicated to helping individuals with opioid dependence. While experience in this specific treatment area isn't required, ideally, you will possess knowledge of the healthcare landscape, including an understanding of health outcomes, benchmarks, systems, and regulatory compliance (HIPAA).
Responsibilities
- Designing and maintaining a modern data infrastructure: Build and maintain a robust, reliable, accessible, and secure data stack that complies with healthcare data regulations.
- Developing data analytics solutions: Collaborate with the data team to architect and construct data analytics schemas and datasets in BigQuery and dbt as well as building self-serve dashboards using appropriate business intelligence tools
- Supporting existing data pipelines: Provide continuous support and maintenance for current data pipelines, quickly resolving any issues.
- Serving as a data subject matter expert: Act as the go-to person for Ophelia's data assets, confidently answering data-related questions and effectively collaborating with stakeholders across all levels of data expertise within the organization.
- Improving data accessibility: Enhance data accessibility and understanding for all Ophelia employees, enabling quicker and easier access to insights.
- Fostering a data-driven culture: Actively support data-related inquiries and requests from other teams to champion a data-driven culture throughout the company.
Skills & Competencies
- Data Architecture & Exploration: 2-4 years of experience improving data flow and structure within agile technology teams, utilizing cloud tools such as BigQuery, Snowflake, and AWS. GCP experience is a plus!
- Measurement Expertise: Subject matter expertise in measurement across at least two disciplines: finance, digital products, marketing, business operations, or healthcare.
- Dimensional Modeling & Business Intelligence: Strong experience with dimensional modeling and relevant tools like BigQuery, dbt, or similar, as well as business intelligence tools (Looker, Lightdash, Tableau).
- Analytical Prowess: Expert in SQL for analytical use, with familiarity in Python, R, SAS, or other analysis tools.
- Version Control: Experience with Git/other tools.
- Team & Independent Work: Ability to collaborate effectively while also working autonomously.
- Mission Alignment: Passionate about making evidence-based addiction treatment universally accessible through data analysis and exploration.
- Big Data Pipelines & Ad Hoc Analysis: Experience building automated big data pipelines and conducting ad hoc data analyses to support leadership and stakeholder decision-making.
- Regulated Industry Background: Experience in a regulated and/or secure industry (ideally healthcare/telehealth), demonstrating a thoughtful approach to compliant, private, and secure systems that remain nimble and modern.
- Technical Habits: Exhibits habits of a technician, including continuous improvement, learning, measurement, and objective, reasoned thinking.
Our Benefits Include:
- Remote work anywhere in the United States
- Competitive medical, vision, and health insurance (many plans are fully covered for the employee!)
- 20 days of PTO per year
- 10 company holidays
- Work From Home Stipend
- 401k Contribution Platform
- Additional benefits offered through our benefits provider such as life insurance, short and long term disability, financial wellness, virtual primary care, among others!
#LI-Remote
- We set compensation based on the level and skills required for the role. We value pay transparency and equity, and are committed to fair pay. In order to prevent pay disparities and reduce time spent in negotiations, we take a “first and best” offer approach: this means we’re not holding any compensation back from our candidates, and you can feel confident that our pay is fair and does not vary based on the strength of someone’s negotiation skills.
- Compensation is dynamic at Ophelia: as long as the company performs well and meets our targets, there will be opportunities for increased compensation annually. We’re happy to discuss this approach and our bands if you have questions during the interview process.
Compensation Range
$120,000 - $130,000 USD
Interested in learning more about Ophelia and this role? Apply to work with us!
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