Senior Data Analytics Engineer, Commercial Team

Novellia is the first and only company that lets anyone in the US gain access to nearly a decade of their health data in under 30 seconds, 100% free. All your health records, across doctors, all in one place, always up to date.

We work with the world's top researchers to safely turn health insights into life-changing action for millions of people across the world.

Novellia is the only patient-powered real world data platform delivering comprehensive, patient-authorized longitudinal health insights to accelerate biopharma innovation. Unlike traditional RWD providers who provide fragmented institutional data, we empower patients to access 15+ years of their health records for free, then transform these complete health journeys into fit-for-purpose datasets for evidence generation, regulatory submissions, and market access. We're growing 5x YoY with top pharma partners, our data have been published with leading scientific organizations such as ASCO and SABCS/AACR, and are backed by tier-1 investors including Spark Capital, Khosla Ventures, Bling Capital, and more.

We are looking for a Data Analytics Engineer to build and lead our commercial data science function from the ground up. This is a unique opportunity to define how a healthcare data company delivers world-class data and analytics solutions to biopharma clients while simultaneously building the internal data solutions that power our operations.

This role is first and foremost, client-facing. You will be the analytics voice to our clients, joining weekly meetings to present patient engagement metrics, growth trends, and study insights. You'll field questions about our solutions, respond to ad-hoc analytical requests, and build trusted relationships with biopharma stakeholders who rely on your expertise to make critical decisions.

Beyond client delivery and support of the commercial team, the ideal candidate will bring the aptitude and eagerness to contribute to broader data engineering capabilities. If you're curious about what that technical layer looks like, we encourage you to read the Analytics Engineering Lead job description — we're building both roles to work closely together. This role will partner closely with the Analytics Engineering Lead, who owns the core data infrastructure. You will focus on insight delivery and client-facing analytics built on top of that foundation.

You will report directly to the Chief Customer Officer and be accountable for all client-facing metrics, analytics deliverables, and the strategic evolution of our commercial data science capabilities.

We're a growing team tackling complex problems in healthcare data. We move quickly, prioritize impact, and take pride in doing things right. The truth is: this is a demanding job. It requires focus, urgency, and deep client accountability. If you're looking for a predictable environment with clear boundaries, this isn't the right fit.

But if you want to build something from scratch, take real ownership of client relationships worth millions, and see your analytics directly shape biopharma research decisions—you'll find the challenge deeply rewarding.

Client-Facing Analytics Leadership (60%)

• Join weekly client meetings with biopharma partners to present patient engagement metrics, enrollment trends, data quality insights, and study progress

• Serve as the primary analytics point of contact for client and commercial team inquiries, responding to questions about our data, methodologies, and analytical capabilities

• Build meaningful relationships with biopharma stakeholders including medical affairs, clinical operations, and real-world evidence teams

• Translate complex analytical findings into clear, actionable insights tailored to biopharma decision-makers. Success in this role requires strong collaboration with Engineering and to ensure solutions are scalable and reproducible, not one-off analyses

• Proactively identify opportunities to deliver additional value through analytics and communicate these to clients

Internal Analytics & Solutions Development (40%)

• Partner with the internal Engineering team to contribute to and, where needed, support upstream data pipeline and dbt model development. Familiarity with tools like dbt is a plus, or a willingness to learn.

• Partner closely with the solutions management team to translate client research and analytical needs into clear product requirements and technical specifications

• Work with the Engineering team and the Analytics Engineering Lead to ensure commercial data deliverables are scalable, reproducible, and aligned with the broader data platform — not one-off analyses.

• Drive data quality initiatives to ensure accuracy and reliability across all client-facing analytics

Strategic Impact

• Define and develop best practices for research-grade analytics delivery in the real-world evidence space

• Contribute to business development efforts by articulating our analytical capabilities to prospective clients

• Identify patterns across client engagements that inform product development and company strategy

• You thrive in client-facing environments. You're energized by presenting to stakeholders, answering tough questions on the fly, and building relationships through consistent delivery of excellent work.

• You're a self-starter who builds solutions, not just analyses. You don't wait for perfect requirements—you identify needs, design and build solutions, and drive them to completion.

• You're comfortable being hands-on with code and clients on the same day. You can write SQL and Python in the morning and present insights to biopharma executives in the afternoon.

• You embrace AI tooling to augment your work. You actively use AI assistants to write faster, analyze smarter, and deliver more—you see them as force multipliers, not threats.

• You want to define a function, not inherit one. You're excited to build processes, frameworks, and standards that will outlast your tenure.

• You care deeply about data quality. In healthcare, accuracy isn't optional—you take pride in getting details right.

Experience & Expertise

• 5-8 years of experience in data science or analytics, with at least 2 years in a client-facing or consulting capacity

• Strong working knowledge of cloud data warehouse platforms (e.g. Snowflake, BigQuery, Redshift), with deep proficiency in SQL

• Proficiency in Python for data analysis, statistical modeling, and automation

• Strong command of data visualization tools (e.g. Metabase, Looker) and ability to design and implement dashboards for non-technical audiences

• Experience building analytics solutions from scratch—data models, pipelines, reporting frameworks, and dashboards

• Proven track record of translating ambiguous business questions into concrete analytical approaches and deliverables

Communication & Relationship Building

• Exceptional ability to present complex analytical insights to diverse audiences, from software engineers to C-suite biopharma executives

• Demonstrated success building trusted relationships with external stakeholders through consistent, high-quality delivery

• Comfortable managing competing priorities from multiple clients while maintaining quality and responsiveness

Technical Strength as an IC

• Strong individual contributor who can design and build solutions independently

• Familiarity with advanced analytics techniques including statistical modeling, machine learning fundamentals, and predictive analytics

• Ability to evaluate data quality, identify issues, and implement monitoring systems

• Experience working with healthcare data (EHR, claims, registry data) is a strong plus but not required

Mindset & Work Style

• Self-directed and resourceful—you identify problems and solve them without waiting for direction

• Comfortable with ambiguity and rapid change in a growing company environment

• Proven ability to manage competing priorities in fast-paced environments

• Experience using modern and emerging AI tools (ChatGPT, Claude, Copilot, Cursor, etc.) to enhance productivity and accelerate delivery

• Competitive equity package

• Medical, dental, and vision coverage

• 401(k)

• Flexible time off

• Wellness stipend

• Up to 12 weeks of parental leave

Don’t meet every requirement? Studies show women and people of color are less likely to apply unless they meet 100% of qualifications. At Novellia, we’re committed to building a diverse, inclusive workplace. If you’re excited about this role but don’t meet every requirement, we encourage you to apply.

U.S. Applicants Only.