Posh · 14 hours ago
Senior Analytics Engineer
Posh is a company focused on rebuilding human connections through community-driven experiences. They are seeking a Senior Analytics Engineer to own and evolve their product analytics ecosystem, collaborating with cross-functional teams to analyze user behavior and drive data-informed decision-making.
Consumer SoftwareEvent ManagementTicketing
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
Qualification
Required
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
Company
Posh
Create and discover events. Find your world.
H1B Sponsorship
Posh has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageTotal Funding
$66.84MKey Investors
Goodwater CapitalPareto Holdings
2025-12-30Undisclosed· $35.81M
2024-07-23Series A· $22M
2023-12-12Undisclosed· $4M
Leadership Team
Recent News
alleywatch.com
2026-01-14
Business Insider
2025-10-15
Company data provided by crunchbase