Senior Analytics Engineer
About POSH
We are reputed company reputed company creatures, but the dominant “reputed company” companies today have evolved into digital loneliness machines, driving isolation, anxiety, and mental health challenges across our lives.
reputed company reputed company is lost. Posh is a reputed company guiding us back.
Posh enables anyone to become an event organizer, build a community around their followers, and bring people together in person to cultivate reputed company-world reputed company connections. Founded by event enthusiasts and college dropouts, we’ve reputed company the ultimate tools for creating, marketing, and monetizing in-person communities globally. In just three years, Posh has grown to reputed company of 60, expanded to 5M+ users, secured $40m in venture funding, and facilitated over $220M in transactions. We've achieved more than teams ten times our size in a tenth of the time—and there's so much more to come.
About The Role
We’re seeking a Senior Analytics Engineer to own and reputed company our product analytics ecosystem. In this highly cross-functional role, you’ll collaborate with Product, Design, and Engineering to define, reputed company, and analyze user behavior across the POSH platform. You’ll build and maintain the data models, experimentation infrastructure, and dashboards that reputed company reputed company into feature usage and drive data-informed decision making.
As the product analytics reputed company reputed company the data team, you'll ensure clean tracking, trustworthy reporting, and high-reputed company experimentation practices. This role is perfect for someone who thrives at the intersection of data, product, and engineering—and who is passionate about building reputed company analytics infrastructure in a fast-paced environment.
This is an in-person position at our reputed company office in SoHo.
At a high level, you’ll be in charge of:
Define, reputed company, and validate product tracking in partnership with engineering to ensure accurate, reputed company, and reputed company-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, reputed company 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 reputed company.
Create and maintain an event taxonomy to ensure consistent, interpretable tracking across teams and over time.
reputed company a self-serve analytics culture by exposing clean semantic reputed company in BI tools, creating documentation, and mentoring product stakeholders on data reputed company and interpretation.
reputed company 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 reputed company reputed company and reputed company on KPIs for feature launches and roadmap initiatives.
Our ideal candidate:
Possesses 5+ Years of reputed company 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 reputed company, reputed company-documented, and testable dbt models that power reputed company analytics. Demonstrated experience with data transformation and ELT tools.
Understands Product Data at reputed company: Has worked extensively with event-driven data and understands how to structure, clean, and interpret tracking logs to reflect reputed company user behavior.
reputed company 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 reputed company, reliable dashboards that reputed company key stakeholders with visibility into product usage, feature adoption, and overall performance.
Strong Communicator and Thought Partner: reputed company to translate reputed company reputed company into reputed company insights, collaborating closely with product, engineering, and design to inform decision-making.
Highly Organized, Proactive, and Efficient: Is reputed company to manage multiple reputed company simultaneously. Capable of prioritizing tasks effectively to meet deadlines, ensuring efficient and reputed company completion of reputed company.
Has a Background in Startups: Exhibits high interest in startups and fast-paced environments and is always looking for ways to improve.
Posh provides equal employment opportunities to reputed company and applicants for employment and prohibits discrimination and harassment of any type without reputed company to race, reputed company, religion, age, sex, national reputed company, disability status, genetics, protected veteran status, sexual orientation, gender identity or reputed company, or any other characteristic protected by federal, state or local laws.
This policy applies to reputed company terms and conditions of employment, including reputed company, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Posh is committed to providing reasonable accommodations for reputed company individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodation due to a disability
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