Analytics Engineer, Rightway
Platform
$100-140k
+ Bonus & Equity
Personalized healthcare platform for employees
Be an early applicant
Personalized healthcare platform for employees
501-1000 employees
Be an early applicant
$100-140k
+ Bonus & Equity
501-1000 employees
Company mission
To simplify the healtcare experience.
Role
Who you are
- 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field
- Strong experience with dbt and modern analytics engineering best practices (required)
- Advanced SQL proficiency and experience developing data transformations and workflows using python
- Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles
- Experience building and maintaining production-grade data models, data quality tests, and documentation
- Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery
- Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow., Dagster etc
- Experience working within cloud environments, preferably AWS
- Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows
- Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as claude, claude skills, Model Context Protocol (MCP) and AI assisted engineering practices
- Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions
- Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders
What the job involves
- We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations
- In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making
- You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry
- This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems
- You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities
- Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space
- Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence
- Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models
- Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs
- Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability
- Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability
- Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability
- Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability
- Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation
- Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows
Our take
Modern healthcare ecosystems are fragmented, so patients have to organize multiple services to get the care they need. This can be complex, time-consuming and expensive, which is why Rightway provides a unified healthcare organizational system to manage employee healthcare benefits better.
The company’s aim is to simplify access to healthcare, whilst also saving users money through price comparison services. Examples of its offerings are a pharmacy services platform that enables employees to access medication via a smartphone app, and the Advocate platform that helps to close care gaps.
The startup serves companies of all sizes, from small businesses to enterprises like Burger King, Popeyes and RBI. It has hundreds of thousands of users across the US, and has raised considerable funding which will enable it to further develop its platform and strengthen its foothold among employers, health plans, third-party administrators and other potential clients.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Mar 2024
$108.8m
LATE VC
Mar 2021
$100m
SERIES C
Total funding: $240.8m
Company benefits
- Competitive compensation
- Health Savings Account
- External learning and career development panels
- Hybrid in-office culture and commuter benefits at our NYC HQ
- Full medical, dental, and vision insurance
- 401K
Company HQ
West Village, New York, NY
Leadership
Jordan Feldman
(Co-Founder & CEO)Studied Government and Economics at Harvard before working in investment at Goldman Sachs and Redbird.
Theodore Feldman
(Co-Founder & Chief Medical Officer)Also Chief Medical Officer at Cadence. They studied Medicine at Harvard University and the Albert Einstein College of Medicine. Worked as Medical Director at South Miami Heart Centre and the Head of Cariology at FIU Wertheim College.
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