Automations Data Analyst at MIRO STUDIO

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Governance, Data Quality, Data Profiling, Data Validation, Business Intelligence, Looker, Tableau, Process Automation, Airflow, dbt, Collaboration, Communication, Problem-Solving, Business Acumen

Industry

Software Development

Description

About the Team Business Technology is an organization of problem solvers. We manage, procure and maximize investment in technology across all Business teams within Miro. Our team is composed of Architects, Product Owners, Analysts, and Developers who deliver flawless execution of end to end business process automation. We are a team that delivers well-architected technology solutions to achieve business goals of the company. 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. 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. What you’ll do Design, build, and maintain 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 Utilise expert-level SQL and Python to query modern data warehouses (BigQuery, Snowflake) and conduct in-depth analyses to answer critical business questions 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: They don’t just move data; they build resilient, automated pipelines using tools like Airflow or dbt Data Governance: They know how to implement processes for data quality, profiling, and validation, ensuring everyone can trust the data they use 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 About Miro Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co-headquartered in San Francisco and Amsterdam, serves more than 100M users and 250,000 companies collaborate in the Innovation Workspace. Miro was founded in 2011 and currently has more than 1,600 employees in 13 hubs around the world. We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you! Check out more about life at Miro: Youtube: https://www.youtube.com/@lifeatmiro Blog: https://miro.com/careers/life-at-miro/all/ Instagram: https://www.instagram.com/mirohq/ At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences. Miro’s mission — Empower teams to create the next big thing — is how we think about our product, people, and culture. We believe that creating big things requires diverse and inclusive teams. Diversity invites all talent with different demography, identities and styles to step in, and inclusion invites them to step closer together. Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences. Miro handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here.

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Responsibilities

Design, build, and maintain automated data pipelines to transform raw data into usable information. Partner with business stakeholders to translate ambiguous questions into actionable analyses and visualizations.