The Scene
Picture Miro’s buzzing Amsterdam office — a global success with 100+ million users and ambitious growth plans. As the go-to platform for team collaboration, Miro is now embarking on its next big chapter: a full-scale AI transformation. With vast amounts of user data ready to fuel smarter, more predictive features, there’s one challenge — the data is messy, inconsistent, and scattered across systems.
The Problem This Person Will Fix
This brand-new role exists to fix that. We need a bridge between chaotic raw data and clean, trusted, actionable insights. This person will be the foundational analyst who turns data wilderness into a structured, reliable ecosystem — enabling the data science team to build groundbreaking AI models instead of cleaning data. Without this role, the entire AI initiative stalls.
Who This Role is For
If you’re a recent graduate or early-career data professional (0–3 years of experience) eager to build a strong foundation in data analytics and technology — and you want to learn from the best while contributing to something big — this is your place. Join us and help shape the way Miro uses data to empower millions of teams around the world!
What you’ll do
- Support in designing, building, and maintaining resilient, automated data pipelines using tools like dbt and Airflow to transform raw data into usable information
- Partner with business stakeholders to translate ambiguous questions into specific, actionable analyses and clear, insightful visualizations using platforms like Looker or Tableau
- Implement and own data governance processes, including data quality checks, profiling, and validation, to ensure the entire organization trusts the data
- Work with SQL and Python in BigQuery or Snowflake to find answers to business questions, using your problem-solving skills and available resources to build queries independently
- Serve as a "bridge-builder" between technical and business teams, troubleshooting data issues by diagnosing the root cause and effectively communicating solutions to all stakeholders
What you’ll need
To succeed, this person needs to be a hybrid of a skilled technician and a thoughtful collaborator.
Hard Skills:
- Technical Toolkit: They are fluent in SQL and Python and have hands-on experience with modern data warehouses like BigQuery or Snowflake
- Process Automation: You’re comfortable setting up and maintaining efficient data workflows, using tools like Airflow or dbt to make recurring tasks smoother
- Data Governance: You care about data quality and consistency, helping to put simple checks and validation steps in place so everyone can rely on the data
- BI Expertise: They have a knack for turning complex datasets into clear, insightful visualizations using platforms like Looker or Tableau
Soft Skills:
- Business Acumen: They are deeply curious and strive to understand the "why" behind every data request. They can translate a vague business question into a specific, actionable analysis
- Collaboration & Communication: They are a natural "bridge-builder" who can speak the language of both technical teams and business stakeholders with ease
- Problem-Solving Mindset: When a dashboard breaks or a data pipeline fails, they don't just fix the symptom; they dig deep to find and solve the root cause
- Humility and Drive: In line with Miro's culture, they are a dreamer who works hard but stays humble, playing as a team player to help the entire company win
What's in it for you
- Competitive equity package
- Medical insurance coverage
- Lunch, snacks and drinks provided in the office
- Wellbeing benefit and WFH equipment allowance
- Annual learning and development allowance to grow your skills and career
- Travel allowance for your commute
- Opportunity to work for a globally diverse team
- Inspiring workplace in the heart of Amsterdam
