Senior Data Analyst, Product — AI Dashboards & Growth

Wealth.com; New York (NY); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Hybrid work in NYC

Medical, dental, vision insurance

Life insurance

Parental leave

Equity via Carta

401k match

Flexible PTO

Birthday holidays

Job summary

Wealth.com is hiring a Senior Data Analyst, Product, to partner with the product team to strengthen data-informed decisions. You will define sharp success metrics, dive into transformation and reporting platforms, and deliver ad hoc analyses to guide product development.

You will build dashboards, analyze usage and revenue data, and accelerate AI self-service in the analytics layer while delivering insights to leadership.

Qualifications

• 4+ years of experience in analytics or strategic role at a technology company.
• Proficient in SQL and dbt for data modeling and transformation.
• Experience with Omni (or similar BI tools) for product analytics.
• Understanding of SaaS business models and product metrics.
• Strong organizational and communication skills.
• Experience optimizing context for and output of AI analytical systems.

Responsibilities

• Develop and maintain key performance metrics and dashboards to track product success.
• Analyze product usage and revenue data to identify trends and opportunities.
• Accelerate AI self-service in the data layer using Omni and Amplitude.
• Research and implement best practices to improve AI reporting accuracy and reliability.
• Provide actionable insights to senior leadership and stakeholders to inform decisions.
• Refine questions and generate insights by understanding customers and business.
• Translate technical analyses into clear, actionable recommendations.

Skills

SQL

dbt

Omni BI

SaaS metrics

organizational skills

communication skills

AI analytics

Tools

Amplitude

Job description

Wealth.com is hiring a Senior Data Analyst, Product, to partner with the product team to strengthen data-informed decisions. You will define sharp success metrics, dive into transformation and reporting platforms, and deliver ad hoc analyses to guide product development.

You will build dashboards, analyze usage and revenue data, and accelerate AI self-service in the analytics layer while delivering insights to leadership.