Automations Data Analyst
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Introduction
**About the Role**
**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.
Tasks
- 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
Requirements
- **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
Benefits
- 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
Skills
- dbt
- Airflow
- Looker
- Tableau
- SQL
- Python
- BigQuery
- Snowflake
- data governance
- data quality
About Miro
- Company
- Miro
- Website
- https://miro.com
- Headquarter
- Berlin, Germany
- Industry
- IT