---
title: 'Sr. Analytics Engineer at Pelago'
canonical: 'https://feeny.ai/job/sr-analytics-engineer-pelago-new-york-w6ztys0d99sh'
type: 'job'
last_seen: '2026-09-08'
---

# Sr. Analytics Engineer at Pelago

- **Company:** Pelago
- **Location:** New York, NY
- **Compensation:** $175k–$190k
- **Posted:** 2026-07-24
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/pelago/jobs/5195899007

## Job description

Pelago is the leading specialty substance use care provider, built on the belief that effective treatment means matching care intensity to what each member actually needs rather than defaulting to the most expensive intervention. Our programs guide members through every stage of the substance use spectrum, from unhealthy habits to active use disorders, delivering personalized treatment for tobacco, alcohol, opioid, cannabis, and stimulant use based on individual health, habits, genetics, and goals.

With Sona, our voice-first AI Mental Health Specialist, Pelago now applies that same clinically-driven model to mental health, pairing deep clinical expertise with technology to expand access without compromising care quality. We believe technology should make clinical care more precise and more human, not replace the judgment behind it.

Pelago has scaled to helping hundreds of employers and health plans and has already helped more than 750,000 members better manage their substance use. If you're passionate about AI and making an impact on the health of others, join us and make it happen!

About Pelago Data:

Our Data team sits at the center of how Pelago makes decisions. As we scale, we're building a data function that doesn't just report on the business — it shapes it.

We transform complex healthcare and product data into clean, reliable, well-documented models that power reporting, experimentation, AI initiatives, and day-to-day decision-making across the company. The Senior Analytics Engineer is a key force multiplier on that mission.

Overview of the Role:

We're looking for a Senior Analytics Engineer who brings deep technical craft and the strategic instincts to match. You don't just build data models — you shape how data is defined, interpreted, and used across Pelago.

In this role, you'll drive how data is structured across the company, build the semantic foundations that teams rely on, and bring cross-functional clarity to ambiguous business problems. You operate at the intersection of engineering precision and business judgment, and you're as comfortable influencing stakeholders as writing dbt.

What You'll Do:

Lead the analytics foundation

- Architect and own scalable dbt model layers that serve analytics, experimentation, AI, and downstream ML workflows
- Set the standard for transformation logic, documentation, and observability across the data stack
- Drive performance, maintainability, and reliability of Pelago's transformation pipelines
- Establish data quality frameworks — testing, validation, monitoring — that the whole team builds on

Own business logic and metrics at scale

- Translate ambiguous, cross-functional business requirements into structured, reusable data models — without waiting for full clarity
- Define, govern, and evolve Pelago's KPI and metric layer to ensure consistency across teams and tools
- Lead development of data marts for dashboards, experimentation, ROI analysis, clinical outcomes, and AI workflows
- Proactively identify and resolve metric fragmentation before it becomes a reporting problem
- Create scalable solutions beyond resolving known patterns — you find and resolve the ambiguous ones

Drive cross-functional outcomes

- Build consensus across Product, Clinical, Finance, Growth, Client Success, and Data Engineering on how shared data assets are defined and used
- Navigate competing team priorities and align stakeholders on data modeling decisions
- Mentor and support Analytics Engineers and Data Analysts — elevating team output, not just your own
- Influence data governance and analytics best practices across the org, not just your squad

Enable advanced and agentic analytics

- Structure data assets for experimentation, personalization engines, ROI measurement, and AI/LLM workflows
- Identify where AI and automation can change how the data team works — and drive adoption, not just experimentation
- Build toward Pelago's Cube/semantic API layer, creating standardized data access for internal and external stakeholders
- Partner with Data Science and ML to ensure feature-ready, well-characterized datasets

What We Look For:

Required

- 5+ years of experience in analytics engineering, data analytics, or data modeling
- Expert SQL skills and a track record building production-grade data models at cross-functional scale
- Deep understanding of data warehousing, dimensional modeling, and semantic layer design
- Advanced dbt skills — you've set patterns, not just followed them
- Experience with modern data stacks (Redshift, Snowflake, or similar) and the judgment to make architectural tradeoffs
- Demonstrated ability to define metrics and resolve ambiguity across teams — not just implement requirements
- Strong stakeholder management and communication skills; you build consensus, not just models
- Experience working in cross-functional, fast-moving environments with competing priorities

## Preferred

- Experience with Looker, Cube.js, or similar semantic layer / BI tooling at an architectural level
- Familiarity with healthcare data, regulated environments, or compliance-adjacent data pipelines
- Experience supporting experimentation design, A/B analysis, or ROI measurement frameworks
- Hands-on experience with AI/ML data preparation, feature engineering, or agentic analytics
- Track record of mentoring engineers or raising team-level data quality standards
- Experience with data observability tooling (Monte Carlo, Elementary, or similar)

The provided range reflects our US target salary range for this full-time position, which is part of our broader total compensation package, including incentive bonus program, stock options, comprehensive benefits, and incentive pay applicable to eligible roles. Individual pay within the range will vary based on a variety of factors like role-related experience and education, internal pay equity, and other relevant business factors. At Pelago, we are committed to an equitable and fair pay philosophy and review total compensation for our employees at least twice a year.

Base Pay Range $175,000—$190,000 USD

## About Pelago

## Company Overview
- **One-liner**: Pelago is a virtual clinic providing evidence-based, personalized substance use care for alcohol, tobacco, opioid, cannabis, and stimulant use through digital tools, live counseling, and medication-assisted treatment.
- **Entity Type**: Private (funded startup, $167M total funding in 8 rounds)
- **Headquarters**: New York, New York, USA (245 5th Ave, 18th Floor, NY 10016) with a secondary office in London, UK
- **Founded**: 2017
- **Founders**: Yusuf Sherwani, MD (CEO & Co-founder); co-founded by three physicians (names of the other two not publicly named)

## Core Business
- **Primary industry**: Digital healthcare / substance use disorder treatment (telemedicine)
- **Target customers**: B2B – employers (employer-sponsored benefits) and health plans
- **Mission/purpose**: “A world where everyone has access to substance use support – no matter what.” Breaking down barriers to care through a stigma-free, virtual-first model.

## Products & Services
- **Pelago Platform**: A digital-first substance use care program combining:
  - **Digital tools**: Cognitive Behavioral Therapy (CBT), habit tracking, educational content, round-the-clock virtual support
  - **Live clinical support**: Unlimited access to physicians, nurses, coaches, and counselors (same-day access nationwide)
  - **Medication-Assisted Treatment (MAT)**: Via PelagoRX – confidential prescriptions with pharmacy integration
  - **Remote monitoring**: At-home breathalyzers, urinary test kits for program outcomes and motivation
  - **Centers of Excellence**: Access to high-quality, clinically vetted inpatient facilities (e.g., RCA, Banyan) with care coordination
  - **Complex condition management**: Support for co-occurring mental illness and chronic conditions (e.g., diabetes, heart disease)
- **Programs for specific substances**: Alcohol, tobacco/nicotine, opioids, cannabis, and stimulants

## Market Standing
- **Valuation**: Not disclosed (private company)
- **Key Metric**: Total funding of $167.0M (8 rounds); estimated annual revenue of $10.0M (per LinkedIn, may be approximated)
- **Notable Investors/Partners**: Not explicitly named in search results, but trust from “hundreds of organizations” including employers and health plans
- **Growth Signals**:
  - 120 employees (+9.5% YoY, +15 people)
  - Published 15 peer-reviewed studies showing impact on engagement, clinical improvement, and medical savings
  - Reports $6.7k per participant medical cost savings in the first year; $11,829 annual savings per member (Aon analysis)
  - Clinical outcomes: 62% reduction in alcohol use within 30 days; 67% opioid-free for 3+ months; 44% tobacco-free at 12 months

## Competitive Advantages
- **Evidence-based differentiation**: Only substance use care solution with published, peer-reviewed evidence for both clinical impact and medical cost savings
- **Stigma-free, digital-first approach**: Low barrier to entry, private, confidential care that meets people where they are
- **Physician-led multidisciplinary team**: Founded and led by addiction specialists (MDs, PhDs) with deep clinical expertise
- **Comprehensive spectrum of care**: From digital tools to MAT to inpatient coordination, covering early intervention through complex management

## Strategic Focus
- Expand partnerships with employers and health plans across the US
- Deepen clinical research and outcomes measurement to showcase ROI
- Scale access to specialty substance use care nationally, with same-day availability
- Continue integrating technology (e.g., AI) to enhance personalization and monitoring (evidenced by AI Agent Engineer and Director, Clinical AI roles)

## Why Work Here
- **Culture**: Emphasizes teamwork, flexibility, and impact – “Change lives, shape your future”
- **Work arrangements**: Flexible hours and remote days; not fully remote but open to hybrid (NYC and London offices)
- **Benefits**: Competitive medical, dental, and vision insurance; generous paid time off; self-development budget for learning and growth
- **Engineering focus**: Active hiring for Product Engineer, Engineering Manager, AI Agent Engineer – building tech-enabled care at scale
- **Location**: Offices in New York (18th floor with city views) and London (Princelet Street, E1)

## Sources
1. [Pelago Health - Official Site](https://www.pelagohealth.com/)
2. [Pelago Careers Page (Greenhouse)](https://job-boards.greenhouse.io/pelago)
3. [Pelago About / Mission Page](https://www.pelagohealth.com/company/our-mission/)
4. [Pelago LinkedIn Profile](https://www.linkedin.com/company/pelago-health)

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