Senior Data Analyst (Product & Engineering)

Cents • New York, NY

2d • $125,000 - $150,000 • Remote

About The Position

As a Senior Data Analyst, you will play a key role in transforming complex data into clear, actionable insights that drive strategic business decisions across the organization. You’ll partner closely with our Chief Product Officer (CPO) and VP of Engineering as a trusted thought partner building full transparency into our product and development efforts across releases, velocity, adoption, funnels and behaviors. This role sits at the intersection of Product, Engineering, and Data: you’ll shape what we measure, how we measure it, and how leaders use those insights to make decisions.

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.
• Engineering & delivery analytics experience
• 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
• Communication & influence
• 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.

Nice To Haves

• Experience with experimentation, A/B testing, and causal inference approaches.
• Experience defining event tracking plans and working with engineers on instrumentation.
• Comfort with lightweight forecasting models and capacity/roadmap scenario analysis.

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.
• Measure and improve team velocity and execution health
• 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
• Own funnel and adoption analytics
• 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.”
• Act as a strategic thought partner to the CPO
• 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.
• Strengthen the analytics foundation
• 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.

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!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed