Who we are:

At Ciitizen, we have a singular mission: to improve the lives of the 350 million people suffering from rare and complex conditions. We empower patients with seamless access and control over their health data that they can share across our multi-sided platform with caregivers, providers and researchers to illuminate better treatment and support options, while bringing therapies to patients faster. We support thousands of patients, work with a rapidly growing network of patient advocacy organizations, and innovate with leading biopharma organizations to accelerate therapies, always ensuring patients remain at the center.

We are a team of builders, advocates, family caregivers and researchers who have had first-hand experience across the spectrum of rare and complex diseases. Led by a seasoned founding team with a history of successful exits in healthcare and consumer startups, and supported by top-tier investors, we are a close-knit, mission-driven group seeking exceptional talents to join us.

We are a hybrid team based out of the San Francisco Bay Area.

The Role:

We are in search of a seasoned Analytics Engineer to enhance and re-architect our end-to-end analytics infrastructure. Our goal is to consolidate and streamline our data architecture and tooling, which currently includes marketing and CRM applications such as Wordpress, HubSpot, and Salesforce, as well as customer and internal facing react applications, and an underlying LLM data platform used to extract clinical insights from medical records. We currently leverage a combination of Segment, Amplitude and analytics/reports native to vendor platforms (like Salesforce) to support analytics in parts of the business at differing levels of maturity. In this role, you will streamline our analytics strategy and implementation by driving the data architecture, tooling decisions and best practices. You will build a nimble and easily usable analytics infrastructure to support product insights, business metrics and a granular view of our end to end funnel, as well as insight into clinical data of our patient population ensuring compliance with HIPAA and other applicable privacy standards. Your role will encompass ownership of the full lifecycle of this work, from initial design to deployment. You will collaborate with internal teams to ensure that the system aligns with our operational needs and drives efficiency and insights across the organization.

We are keen to bring on a full-time team member and are also open to independent contractors or contract-to-hire for this role.

Key Responsibilities:

• Architect and implement a scalable and efficient end-to-end tracking and analytics system across our platform.
• Conduct thorough analysis to understand and document data requirements.
• Provide recommendations on best technologies and tooling for data processing and analytics .
• Data Integration: Seamlessly integrate data from our proprietary data platform, HubSpot, Salesforce, and other key business tools, ensuring data integrity and fluidity.
• Data Processing: Design and implement automated, reliable, scalable and efficient data processing pipelines for analytics; Ensure data integrity, data quality and optimize data processing workflows.
• Data Modeling: Design and implement physical and logical data models for different analytical use cases.
• Data Analytics: Work with stakeholders to build data products that provide insight into our data, leveraging appropriate visualization, BI, data sciences tools.
• Compliance with privacy regulations: Strictly adhere to HIPAA and other applicable privacy regulations, especially critical due to the involvement of medical records and collection of health and health-relevant information from users via web and product interactions.

Qualifications:

• Advanced degree in Computer Science, Engineering, or related field.
• 5 years experience in Data Engineering and/or Analytics Engineering roles (particularly building end to end tracking)
• Demonstrated ability in data modeling, warehousing, and pipeline development.
• Hands-on experience with ETL/ELT tools and technologies (e.g. DBT, FiveTran, Glue…)
• Previous experience designing, architecting and implementing end-to-end analytics systems
• Proficient in SQL/NoSQL databases, Big Data technologies, and cloud platforms.
• Familiarity with analytics tools and technologies including Segment and Amplitude, amongst others (e.g. Looker, Tableau,...)
• Experience working in fast-paced, start-up environments
• Expertise in Python, Java, Scala, or similar programming languages.
• Excellent problem-solving, analytical, and consulting skills.
• Strong communication skills, with the ability to liaise effectively with various stakeholders.

How to Apply:

If you are a passionate about rearchitecting end-to-end analytics infrastructure and excited about shaping the future of healthcare and making a meaningful impact on the rare disease community, we invite you to submit your resume, and an optional cover letter detailing your relevant experience and why you are a great fit for this role.

Ciitizen is an equal opportunity employer, and we welcome candidates from all backgrounds to apply.