Job Description

LockedIn AI

Data Analyst (Full-Time, Remote US)
Remote (US) · New York, NY (Optional Hybrid)

Job Overview

We are looking for a curious, detail-oriented Data Analyst to turn LockedIn AI’s data into clear, actionable insights that drive product decisions, business strategy, and AI improvements. This role sits at the center of product, growth, and AI — helping shape decisions for a platform trusted by over 1M users.

Compensation

$100,000 – $150,000 USD / year

Role Summary

As a Data Analyst, you will transform raw product and user data into insights that directly influence what gets built, improved, and prioritized. You will own analytics across product usage, AI performance, growth metrics, experimentation, and revenue intelligence.

Key Responsibilities

Product & User Analytics

You will analyze user behavior to understand how users discover, engage with, and retain on the platform. This includes funnels, cohorts, retention analysis, churn patterns, and feature adoption trends.

Experimentation & A/B Testing

You will design and analyze A/B tests, ensuring statistical rigor and clear interpretation of results. Your insights will directly guide product iterations and growth experiments.

Business Intelligence & Reporting

You will build dashboards and KPI tracking systems that give leadership real-time visibility into growth, engagement, retention, and revenue performance.

AI Performance & Quality Analytics

You will analyze AI system performance — including latency, accuracy, cost, and quality metrics — and connect model changes to user behavior and engagement outcomes.

Growth & Revenue Analytics

You will evaluate acquisition channels, conversion funnels, churn, LTV, and monetization performance to guide marketing and pricing strategy.

Data Quality & Collaboration

You will ensure data integrity, define metric consistency, and work cross-functionally with product, engineering, and leadership teams to support data-driven decisions.

Required Qualifications

• 3+ years in data analysis, product analytics, or related role
• Strong SQL skills (joins, window functions, CTEs, optimization)
• Experience with dashboards and BI tools (Looker, Tableau, Metabase, etc.)
• Experience with A/B testing and statistical analysis
• Strong Python or R skills for data manipulation and visualization
• Experience working with large-scale product datasets
• Strong communication and storytelling ability

Preferred Qualifications

• Experience with AI/LLM product analytics or model performance tracking
• SaaS or consumer product analytics experience (100K+ users)
• Familiarity with dbt, Amplitude, Mixpanel, or Segment
• Experience in revenue analytics or subscription modeling
• Startup or early-stage company experience
• Portfolio of analytical work or dashboards

What We Offer

• Meaningful early-stage equity
• Direct impact on a 1M+ user AI product
• Remote-first flexibility
• High-ownership analytics environment
• Fast-moving AI-native engineering culture
• Strong influence on product and growth decisions

Why Join LockedIn AI?

• Category-defining AI interview copilot platform
• Massive and rapidly growing user base
• Your insights directly shape product direction and AI improvements
• Work at the intersection of AI, data, and real-world user behavior
• High-impact role with visibility across the entire company

How to Apply

Please submit:

• Resume / CV
• Short note explaining why you want to join LockedIn AI
• Whether you’ve used the product
• Optional: dashboards, SQL work, or portfolio projects

Equal Opportunity

We are committed to building a diverse, inclusive, and high-performing team. Hiring decisions are based on merit, skills, and business needs.

Roles & Responsibilities

• Key Responsibilities
• Product & User Analytics
• You will analyze user behavior to understand how users discover, engage with, and retain on the platform. This includes funnels, cohorts, retention analysis, churn patterns, and feature adoption trends.
• Experimentation & A/B Testing
• You will design and analyze A/B tests, ensuring statistical rigor and clear interpretation of results. Your insights will directly guide product iterations and growth experiments.
• Business Intelligence & Reporting
• You will build dashboards and KPI tracking systems that give leadership real-time visibility into growth, engagement, retention, and revenue performance.
• AI Performance & Quality Analytics
• You will analyze AI system performance — including latency, accuracy, cost, and quality metrics — and connect model changes to user behavior and engagement outcomes.
• Growth & Revenue Analytics
• You will evaluate acquisition channels, conversion funnels, churn, LTV, and monetization performance to guide marketing and pricing strategy.
• Data Quality & Collaboration
• You will ensure data integrity, define metric consistency, and work cross-functionally with product, engineering, and leadership teams to support data-driven decisions.