About the role

Build the analytics function from the ground up by defining tracking, events, and data processes for a complex technical product. Partner with product managers and engineering to translate usage patterns into data-backed decisions and business cases.

What they look for

Product Analytics SQL Python Data Analysis Funnels Retention Experimentation Segmentation A/B Testing Business Intelligence Data Processes Forecasting Performance Monitoring Cross-functional Collaboration Product Strategy

Requirements

Requires 3+ years of experience in product analytics, preferably within a SaaS environment. Candidates must possess strong proficiency in SQL and Python, along with a deep understanding of product metrics like retention and segmentation.

Full description

Blockaid is redefining trust in blockchain through advanced, integrated security. Our on-chain security platform is trusted by leading Web3 companies—including Coinbase, MetaMask, Uniswap, Backpack, Stellar, and others—to detect, understand, and automatically prevent or minimize the impact of fraud, scams, hacks, and financial threats.

We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts—firms known for supporting the most innovative and influential companies in technology and cybersecurity.

You'll be the first Product Analyst on our Product team, which means this role is as much about building as it is about analyzing. There's no inherited dashboard or playbook: you'll define what "good" looks like from scratch, for a product that's genuinely complex on the technical level. Own the data and analysis behind our core product, and use it to help the team move from gut-feel to real decisions. This is a rare seat: close enough to the business to see what actually matters, and technical enough to prove it with data instead of opinions.

Your Chain of Impact:

Build the analytics function from the ground up as the first Product Analyst on the team- there's no inherited dashboard or process; you decide what gets built and why.
Partner closely with Product Managers and Engineering as the data focal point for product decisions, helping the team move from gut-feel to data-backed calls on what to prioritize and build next.
Go deep technically: this is a genuinely complex, technical product, and getting to a real answer means understanding the system itself
Partner with Sales and Customer Success to translate usage patterns into the business case that wins renewals and closes deals.
Analyze how customers actually use the product -adoption, usage, and drop-off patterns that tell us what's working and what isn't.
Build and maintain the analytical foundations — tracking, events, funnels, and data processes — that the rest of the team will build on.
Support strategic decision-making through data analysis, forecasting, and performance monitoring, and grow your scope over time as the foundation you build becomes the backbone every product team at Blockaid leans on.

Requirements

Your Chain of Strengths:

3+ years in product analytics, ideally at a SaaS company.
Strong SQL and Python for analysis and automation.
Real product analytics chops — funnels, retention, experimentation, segmentation. You can explain when not to A/B test as well as when to.
Experience working closely with Product Managers and cross-functional teams.
Strong business understanding and the ability to translate data into product and business impact.
Ability to manage multiple initiatives in parallel and work independently.
Experience with BI tools - advantage.

Blockaid is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.