Senior Product Analyst — Growth & CX Insights

Lever, Inc.; México; Remote; MXN 1,091,000 - 1,636,000; Full time

Benefits offered by this job

Fully remote work

Vacation - 28 days per year

Wellness days - 7 per year

Referral bonuses up to $5,000

Training reimbursement 50%

Health benefits

Home-office stipend

International remote environment

Job summary

Lever, Inc. is seeking a Senior Product Analyst (CX) based in Mexico to drive data-informed product decisions.

You will own the product metrics framework, ensuring clear definitions and alignment with business goals, while working with Product and Data teams to uncover insights and opportunities for growth. You will design and analyze experiments, validate hypotheses with rigorous quantitative analysis, and translate results into actionable recommendations across distributed teams.

Qualifications

• Degree in a technical field with strong math/statistics foundation.
• Hands-on experience applying statistical methods to product problems.
• Proficient in data extraction, processing, and visualization.

Responsibilities

• Own and evolve the product metrics tree with clear definitions and impact on the north-star metric.
• Validate metrics and dashboards; collaborate with Data Engineering for reliability.
• Investigate fluctuations with product leads; identify bottlenecks and growth opportunities.
• Design and analyze A/B tests from setup to interpretation; ensure proper guardrails.

Skills

MS SQL

Python

Excel

Statistics knowledge

A/B testing

Metrics analysis

Data visualization

Education

Bachelor's or higher in mathematics/statistics/CS/engineering

Tools

Power BI

Job description

Lever, Inc. is seeking a Senior Product Analyst (CX) based in Mexico to drive data-informed product decisions.

You will own the product metrics framework, ensuring clear definitions and alignment with business goals, while working with Product and Data teams to uncover insights and opportunities for growth. You will design and analyze experiments, validate hypotheses with rigorous quantitative analysis, and translate results into actionable recommendations across distributed teams.