Head of Data Analytics leading a multi - disciplinary team to bridge data innovation and operational excellence at Haymarket. Strategic role focusing on data monetization and client insights.
About the role
- Senior Data Analyst transforming complex data into actionable insights. Collaborating with leadership to drive strategic business decisions at a rapidly growing laundry SaaS startup.
Responsibilities
- Build transparency into product delivery and releases
- Design and maintain reporting around product releases: scope, progress, quality signals, and post-release outcomes.
- Create release-readiness and post-launch measurement frameworks (success metrics, guardrails, adoption targets).
- Analyze impact of releases on customer behavior, conversion, retention, and revenue-related indicators.
- Develop metrics and dashboards that reflect delivery health: throughput, cycle time, lead time, WIP, predictability, and bottlenecks.
- Partner with Engineering and Product leaders to identify trends, root causes, and process improvements.
- Establish operating rhythms that enable data driven decision making
- Build and maintain product funnels, cohort analyses, and adoption dashboards for key workflows and features.
- Identify drop-offs, friction points, and opportunities to improve activation and ongoing engagement.
- Segment insights by persona, plan, channel, customer maturity, etc., to explain “what’s happening” and “why.”
- Translate ambiguous questions into structured analyses and clear narratives.
- Proactively surface risks/opportunities and recommend actions (not just findings).
- Support roadmap decisions with evidence, tradeoffs, and forecasting where appropriate.
- Work with data/engineering partners to ensure instrumentation is reliable and data definitions are consistent.
- Define and document core metric definitions and build a “single source of truth” for product and delivery metrics.
- Improve data quality through monitoring, anomaly detection, and governance.
Requirements
- 7+ years (or equivalent) in Product Analytics, Data Analytics, or a similar role supporting Product + Engineering.
- Experience working in a high growth startup, managing and improving fragmented data + building scalable models
- Deep experience turning product and engineering datasets into insights: releases, velocity, adoption, funnels.
- Strong SQL skills and comfort working directly with event data, product telemetry, and engineering workflow data.
- Proven ability to create metrics frameworks (North Star + supporting metrics) and keep definitions consistent.
- Experience building dashboards and recurring reporting that executives actually use.
- Proficiency with Looker, Fullstory, Jira, Launch Darkly and Snowflake.
- Familiarity with Agile/modern delivery metrics and tools and concepts like cycle time, lead time, throughput, and predictability.
- Ability to connect engineering activity to customer outcomes
- Strong storytelling: you can explain the “so what” clearly to executives and teams.
- Comfortable pushing back, asking great questions, and aligning stakeholders around what to measure and why.
- High ownership: you don’t wait for requests, you proactively surface insights and recommendations.
- Experience with experimentation, A/B testing, and causal inference approaches is nice to have.
- Experience defining event tracking plans and working with engineers on instrumentation is nice to have.
- Comfort with lightweight forecasting models and capacity/roadmap scenario analysis is nice to have.
- You’ll work closely with the CPO, Product Managers, Engineering leaders, and Data/Analytics.
- You’ll operate with high autonomy and will be expected to build and iterate quickly balancing speed with accuracy and trust.
Benefits
- Competitive salary
- Equity
- Unlimited PTO and paid holidays
- Remote-first with offices in New York City and San Francisco
- Health benefits, including medical, dental, vision, mental health support, parental leave, life and AD&D insurance, and disability
- 401(k)
- Work-from-home and commuter benefits
- Laundry allowance to support our customers’ businesses
- Comprehensive training, learning, and development programming
- Access to hundreds of discounts and rewards from renowned vendors, including deals on health & wellness, travel, dining, auto insurance, and so much more!
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