About
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
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.