Analytics Engineer: Turn Data into Clear Insights

Chatoly Assistant; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

Chatoly Assistant is seeking an analytics engineer to turn conversation and usage data into reliable reporting for customers and internal decision-makers. You will combine analytics engineering, metric definition, investigation, and privacy-minded data handling to help product and business performance be understood.

Responsibilities include building trustworthy models, creating customer-facing reports on activation, retention, and expansion, and clarifying the meaning and caveats of reported

Qualifications

• At least three years of experience in analytics engineering, data engineering, or a closely related role.
• Strong SQL skills and practical experience with dimensional modelling.
• Experience producing reporting that non-technical users depend on.
• Ability to communicate analytical definitions and caveats clearly.
• Careful, responsible treatment of sensitive customer data.

Responsibilities

• Build trustworthy, queryable models from conversation and customer-journey data.
• Create customer-facing reporting for resolution rate, deflection, and revenue influence.
• Define and maintain consistent metrics for activation, retention, and expansion.
• Investigate analytical questions that arise during planning and prioritisation.
• Explain the meaning, limitations, and appropriate use of reported figures.
• Apply suitable privacy controls when working with customer conversation content.

Skills

Analytics engineering

SQL

Dimensional modelling

Reporting

Communication of definitions

Tools

dbt

Job description

Chatoly Assistant is seeking an analytics engineer to turn conversation and usage data into reliable reporting for customers and internal decision-makers. You will combine analytics engineering, metric definition, investigation, and privacy-minded data handling to help product and business performance be understood.

Responsibilities include building trustworthy models, creating customer-facing reports on activation, retention, and expansion, and clarifying the meaning and caveats of reported