Analytics Engineer

Your Role

We're looking for an Analytics Engineer to join our data team at a pivotal moment. As Mirakl scales, data isn't just supporting decisions, it's powering them. From product strategy to AI-driven workflows, everything we build needs a rock-solid data foundation.

You'll be at the intersection of engineering and analytics, transforming raw data into the insights and intelligence that fuel our next phase of growth. This isn't a "maintain the status quo" role, it's a chance to shape how data flows through the entire organization.

What You'll Do

Build Data Products That Move the Business Forward

• Partner with product and business stakeholders to understand needs and constructively challenge requirements, and ensure data products deliver actionable value
• Develop and maintain scalable data models, comprehensive semantic layer (documentation) and robust transformation pipelines to convert raw data into analytics-ready datasets
• Build and maintain dashboards guaranteeing reliable access to critical performance indicators

Shape the Future of Analytics at Mirakl

• Enable self-service analytics and emerging agentic solutions empowering users to independently discover insights and optimize workflows.
• Drive adoption of analytics solutions through user training, responsive support and incident resolution.
• Continuously refine data solutions and workflows by monitoring usage metrics and gathering user feedback to improve quality, reliability, and usability.

Your stack

• Data Platform: Databricks
• ELT & Transformation: dbt core, Airbyte
• Languages: SQL, Python
• BI & Visualization: Metabase

What We're Looking For

Must-haves

• 3+ years as an Analytics Engineer or similar data & analytics role
• Proficiency in SQL for data manipulation and automation
• dbt experience and deep understanding of modern analytics engineering (version control, automated testing, CI/CD)
• Ability to implement advanced analytics methods (cohort analysis, time series forecasting, etc.)
• Data visualization expertise with tools like Metabase, Superset, Tableau, or similar
• Strong problem-solving skills, attention to detail, and the ability to work in a fast-paced environment.
• Excellent communication skills to work with technical and non-technical stakeholders
• Proficient in professional English, both written and spoken

Nice to have

• Hands-on experience with AI-powered or agentic tools
• Experience in the ecommerce or marketplace ecosystem
• Python for analytics and automation

Why Join Now?

This is a rare opportunity to join a scale-up that's already proven its model and is now accelerating. You'll have:

• Real impact: Your work directly influences business decisions, go-to-market strategy, and company direction
• Growth trajectory: As we scale, so do the challenges and your opportunities
• Modern stack: We invest in best-in-class tools and emerging AI/agentic technologies

Collaborative culture: Work with smart, driven people across product, engineering, and business teams

Recruitment Process

1. An initial call with the recruiter.
2. Case study + debrief with your future Manager and a team member
3. Values interviews with colleagues from other teams to ensure mutual fit

The STAR method and structured interviews will hold no secrets for you.