Senior Analytics Engineer - Finance

mewssystems; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Mews is seeking a Senior Analytics Engineer to lead the data architecture behind our financial workflows, including billing, EMI reporting, SOX compliance, forecasting and executive reporting. You will design data models, set standards for analytics work, and mentor the analytics team.

This shape-the-team role offers real influence over how we work, what we build and how quickly we move, with a focus on AI-enabled modeling, code review, and end-to-end data solutions.

Qualifications

• Experience designing data models and analytics solutions for financial workflows.
• Proven ability to mentor analytics engineers and enforce coding standards.
• Strong collaboration with stakeholders and cross-functional teams.

Responsibilities

• Lead architecture and development of high-impact data models in dbt.
• Architect data solutions for billing, EMI reporting, SOX compliance, forecasting and exec reporting.
• Mentor analytics engineers and review code to uphold standards across the team.
• Find and fix performance bottlenecks across the data stack.
• Translate business problems into clean, efficient data solutions in partnership with stakeholders.
• Set team-wide standards for documentation, CI/CD, observability and testing.
• Set the team’s norms for where AI belongs in our workflow, with human oversight.

Skills

Data architecture

Mentoring

Team leadership

AI in analytics

Tools

dbt

CI/CD pipelines

Observability tools

Job description

Help make the world more hospitable

The hospitality industry is uniquely human, and it deserves technology that’s just as inspiring as the people behind it. At Mews, we’re transforming the industry with a platform that helps hotels run smarter, move faster and create better guest experiences.

You’ll work with smart, curious people who care deeply about what they do. You’ll have autonomy and the trust to make good decisions and move quickly. And you’ll enjoy a real sense of purpose as you see the impact of what we’re building.

If you’re motivated by ownership, curiosity and meaningful impact, and are driven to deliver consistent high performance, you’ll feel at home here.

About the role

Let’s get into the specifics. It’s impossible to capture every nuance of a role - especially at a rapidly growing company like Mews - but if we had to distil it into a job description (which we do because this is a job description), it would be this:

We’re looking for a Senior Analytics Engineer to lead the data architecture behind our most business-critical financial work: billing, regulatory reporting ( EMI ), SOX compliance, financial forecasting and executive reporting. You’ll design the data solutions that finance, payments and audit teams depend on, set the standards for how analytics work ships, and mentor others on the team.

This is a shape-the-team role. You’ll have real influence over how we work, what we build and the pace we move at.

We expect you to use AI fluently where it adds leverage in modeling, code review and debugging, and to apply clear judgment on where it doesn’t.

Responsibilities

• Lead the architecture and development of high-impact data models in dbt.
• Architect data solutions across business-critical financial workflows, including billing, regulatory reporting ( EMI ), SOX compliance, financial forecasting and executive reporting.
• Mentor analytics engineers and review code to uphold standards across the team.
• Find and fix performance bottlenecks across the data stack.
• Translate business problems into clean, efficient data solutions in close partnership with stakeholders.
• Set team-wide standards for documentation, CI/CD, observability and testing.
• Set the team’s norms for where AI belongs in our workflow, from model development to code review, and where human oversight stays non-negotiable.