Senior Analytics Engineer

Posh • New York, NY

8d • Onsite

About The Position

We’re seeking a Senior Analytics Engineer to own and evolve our product analytics ecosystem. In this highly cross-functional role, you’ll collaborate with Product, Design, and Engineering to define, instrument, and analyze user behavior across the POSH platform. You’ll build and maintain the data models, experimentation infrastructure, and dashboards that provide clarity into feature usage and drive data-informed decision making.
As the product analytics lead within the data team, you'll ensure clean tracking, trustworthy reporting, and high-quality experimentation practices. This role is perfect for someone who thrives at the intersection of data, product, and engineering—and who is passionate about building scalable analytics infrastructure in a fast-paced environment.
This is an in-person role based in our New York City office in the heart of SoHo. Building live experiences and building with soul are important for our customers, and we believe being and working together as a team is the best way for Posh to feel and achieve this. Events on Posh should be fun, alive, and driven with passion and we want to mirror this in our teams every day!

Requirements

• Possesses 5+ Years of Applied Experience: Has over five years of experience working as a data engineer, analytics engineer, data scientist, analyst or other highly analytical, data-oriented roles, demonstrating a deep understanding and practical application of analytical skills.
• Expert in SQL and dbt: Demonstrates advanced proficiency in SQL and experience building modular, well-documented, and testable dbt models that power scalable analytics. Demonstrated experience with data transformation and ELT tools.
• Understands Product Data at Scale: Has worked extensively with event-driven data and understands how to structure, clean, and interpret tracking logs to reflect real user behavior.
• Experienced in Experimentation Design and Analysis: Comfortable owning the full lifecycle of A/B tests, including experiment design, power calculations, and post-analysis interpretation with statistical rigor.
• Skilled in Building and Maintaining Dashboards: Creates intuitive, reliable dashboards that provide key stakeholders with visibility into product usage, feature adoption, and overall performance.
• Strong Communicator and Thought Partner: Able to translate complex data concepts into clear insights, collaborating closely with product, engineering, and design to inform decision-making.
• Highly Organized, Proactive, and Efficient: Is able to manage multiple projects simultaneously. Capable of prioritizing tasks effectively to meet deadlines, ensuring efficient and timely completion of projects.
• Has a Background in Startups: Exhibits high interest in startups and fast-paced environments and is always looking for ways to improve.

Responsibilities

• Define, instrument, and validate product tracking in partnership with engineering to ensure accurate, scalable, and privacy-conscious data collection for new features and user flows.
• Design and maintain dbt models for product metrics such as feature adoption, funnels, retention, and engagement—supporting fast, reliable, and reusable analytics.
• Build and own dashboards that report on product usage, track feature launches, and monitor key behavioral metrics across the user lifecycle.
• Proactively analyze product behavior to uncover usage patterns, identify friction points, and inform product iteration or roadmap decisions.
• Create and maintain an event taxonomy to ensure consistent, interpretable tracking across teams and over time.
• Enable a self-serve analytics culture by exposing clean semantic layers in BI tools, creating documentation, and mentoring product stakeholders on data access and interpretation.
• Develop and evaluate A/B tests end-to-end, including experiment design, assignment logic, metric selection, and post-test analysis using statistical best practices.
• Collaborate closely with PMs, Designers, and Engineers to define success criteria and align on KPIs for feature launches and roadmap initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees