Data Analyst

Data Analyst Location: New York, NY Employment Type: Full-Time (Optional Hybrid) Schedule: Monday through Friday – Standard Business Hours Salary: Based on Experience A rapidly growing AI technology company is seeking a highly analytical and detail-oriented Data Analyst to transform data into actionable insights that drive product strategy, user growth, and business performance. This role will work closely with leadership, product managers, engineers, marketing teams, and AI specialists to analyze user behavior, measure business performance, evaluate experiments, and support strategic decision-making across the organization. This is an excellent opportunity for someone who enjoys solving complex problems with data and wants to make a direct impact at a high-growth technology company. Responsibilities Product & User Analytics Analyze user behavior, engagement, retention, and churn trends Build and maintain dashboards tracking key product and business metrics Conduct deep-dive analyses to identify growth opportunities and user experience improvements Develop user segmentation models and behavioral insights Identify characteristics of high-value users and opportunities to improve retention Experimentation & A/B Testing Design, analyze, and report on product experiments and A/B tests Partner with product and engineering teams to define success metrics Measure the impact of new features, onboarding improvements, pricing changes, and growth initiatives Ensure statistical rigor and clear interpretation of experimental results Business Intelligence & Reporting Build automated dashboards and reporting systems Define and monitor KPIs across product, growth, revenue, and operations Deliver regular business insights and performance reporting Translate complex datasets into clear recommendations for stakeholders AI Performance Analytics Analyze AI performance metrics including quality, latency, accuracy, and cost efficiency Measure the impact of model updates and AI feature releases Partner with engineering teams to improve evaluation methodologies Monitor AI-related costs and identify optimization opportunities Growth & Revenue Analytics Analyze marketing channel performance and acquisition funnels Conduct retention, churn, and cohort analyses Support pricing, subscription, and monetization initiatives Evaluate onboarding, referral, and growth programs Cross-Functional Collaboration Ensure data integrity and reporting accuracy Improve tracking and analytics infrastructure Document reporting methodologies and metric definitions Support business stakeholders with ad hoc analysis and strategic recommendations Qualifications Required 3+ years of experience in Data Analytics, Product Analytics, Business Intelligence, or a related field Strong SQL skills, including complex queries and data analysis Proficiency in Python or R Experience with BI and visualization tools such as Tableau, Power BI, Looker, or similar platforms Strong understanding of statistical analysis, experimentation, and A/B testing Experience collaborating with cross-functional teams Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field Preferred Experience working with AI products, LLMs, or AI performance metrics Experience in SaaS, technology, or high-growth startup environments Familiarity with Snowflake, BigQuery, Redshift, or similar data warehouses Experience with analytics platforms such as Amplitude, Mixpanel, Segment, or PostHog Knowledge of subscription analytics, retention modeling, and revenue analysis Ideal Candidate Highly analytical and data-driven Strong problem-solving and critical-thinking skills Excellent communication and presentation abilities Comfortable translating complex data into actionable business insights Thrives in a fast-paced, growth-oriented environment #J-18808-Ljbffr