Senior Product Analytics Leader: AI-Driven Insights

Magnit Global; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Magnit Global is seeking a Lead, Advanced Analytics to drive product strategy and business impact through data-driven insights. You will partner with Product, Engineering, Marketing, Finance, and Operations to analyze datasets, design experiments, build metrics, and influence key product decisions.

The role focuses on designing experiments, building dashboards, applying advanced analytics, and presenting insights to senior leadership to improve product outcomes and operational efficiency.

Qualifications

• 6+ years in Product Analytics, Advanced Analytics or data science.
• Strong SQL and Python (or R) skills.
• Experience with experimentation and statistical analysis.
• Proven ability to influence product decisions with data.
• Experience building KPIs, frameworks and dashboards.
• Excellent communication and stakeholder management.
• Background in quantitative disciplines (stats, math, econ, eng, CS).
• Experience with AI-assisted analytics tools is a plus.

Responsibilities

• Design, execute, and evaluate A/B tests and experimentation frameworks
• Build metrics, dashboards, and reporting tools to measure product performance
• Apply statistical modeling, forecasting, and causal inference techniques
• Collaborate with cross-functional stakeholders to guide product strategy
• Present recommendations and insights to senior leadership
• Leverage AI tools and advanced analytics to improve decision-making and operational efficiency

Skills

SQL

Python

Experimentation

KPIs reporting

Stakeholder management

Communication

AI tools

Education

Bachelor's degree in a quantitative field

Master's degree preferred

Tools

ChatGPT

Claude

Job description

Magnit Global is seeking a Lead, Advanced Analytics to drive product strategy and business impact through data-driven insights. You will partner with Product, Engineering, Marketing, Finance, and Operations to analyze datasets, design experiments, build metrics, and influence key product decisions.

The role focuses on designing experiments, building dashboards, applying advanced analytics, and presenting insights to senior leadership to improve product outcomes and operational efficiency.