Senior Data Analyst - SQL Job at Allara Health in New York

Allara is a comprehensive women's health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by over 40,000 women nationwide, Allara makes expert healthcare accessible by connecting patients with multidisciplinary care teams that have a deep understanding of hormonal, metabolic, and reproductive care. Allara provides ongoing support for hormonal conditions like PCOS, chronic conditions like insulin resistance, and life stages like perimenopause, helping patients see improved health outcomes. As one of the fastest-growing women's health platforms in the U.Allara is bridging long-overlooked gaps in healthcare for women. This is a hands-on role, driving data strategy for our rapidly growing organization. We need someone who can accelerate our data capabilities and build the foundation that takes us to the next stage of growth. You'll own our analytics systems, establish data practices that scale, and prepare us for a future where structured care plan data and outcomes measurement are core to our competitive advantage. If you've been waiting for the opportunity to shape a data organization rather than inherit one, this is it, as you'll have a tremendous opportunity to grow with Allara and leverage our unique and vast dataset. We value in-person collaboration and aim for at least three days per week in our NYC office, with flexibility as needed. Stitch together data from clinical systems, product analytics, and marketing/growth tools to build end-to-end views of how patients flow through our experience. How does app usage correlate with health improvement? Your analysis will directly inform resource allocation, product roadmap, and clinical protocols. • Structure and instrument data collection for care plans, clinical workflows, and patient outcomes. Build the data models that let us prove our clinical efficacy and eventually support value-based care contracts. • Set up experimentation infrastructure using tools like Amplitude or similar platforms. Set standards for data quality, documentation, and governance. Make data accessible to non-technical stakeholders while maintaining rigor. Document your work, build tools that empower others, and hire your eventual team. You're not just doing the work-you're establishing how data work gets done here. You know how to design and analyze A/B tests properly-power calculations, multiple testing corrections, confidence intervals, statistical significance vs. You have hands-on experience building analytics that span acquisition, product engagement, and downstream outcomes. You've wrestled with identity resolution, attribution models, and connecting behavioral data to business metrics. You know how to create coherent narratives from fragmented data sources. • You understand why HIPAA matters, what clinical outcomes mean, and why data quality isn't negotiable when patients are involved. • You ship incrementally rather than waiting for perfection. Experience implementing experimentation platforms (Amplitude Experiment, Optimizely, LaunchDarkly, or similar) • Background with clinical data standards (HL7, FHIR) or outcomes research • Experience in consumer health, digital health, or health tech environments • Equity - In addition to base salary, our total compensation package includes equity, comprehensive health benefits (medical, dental, vision), generous paid time off, and additional wellness and professional development perks. Unlimited PTO & 11 company holidays - Medical, dental, and vision benefits - Health Savings Account (HSA) & Flexible Spending Account (FSA) - Long- and short-term disability coverage - Annual work-from-home stipend - We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better we can serve our members. We're an Equal Opportunity Employer and do not discriminate against candidates or patients based on race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.