Data Analyst

Sbhonline; New York (NY); Hybrid; USD 70,000 - 100,000; Full time

Job summary

Sbhonline, a rapidly growing AI technology company, is seeking a Data Analyst to transform data into actionable insights. The ideal candidate will have strong analytical skills and experience working with cross-functional teams to support product strategy and user growth.

Responsibilities include analyzing user behavior, building dashboards, and conducting A/B testing to drive strategic decision-making. The position offers a full-time schedule and optional hybrid work setup.

Qualifications

• 3+ years of experience in Data Analytics or a related field.
• Experience with A/B testing and experimentation.
• Strong understanding of data integrity and reporting accuracy.

Responsibilities

• Analyze user behavior and build dashboards tracking key metrics.
• Design and analyze product experiments and A/B tests.
• Deliver business insights and performance reports.
• Monitor AI performance metrics and analyze growth funnels.

Skills

Strong SQL skills

Proficiency in Python or R

Statistical analysis

Experience with BI tools

Cross-functional collaboration

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics

Tools

Tableau

Power BI

Looker

Job description

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