As a Data Analyst, you’ll do more than just data analysis - you’ll play a key role in shaping the future of Infermedica. Our mission is to support the data-driven decision process across the entire organization.

Your impact will grow as you become a "full-stack analyst", eventually taking ownership of the entire data journey: from gathering requirements and designing ELT workflows to delivering final visualizations. You will have a real influence on building our product analytics within a mature, well-documented, and version-controlled environment.

Responsibilities

• Conduct the full data analysis process, from initial planning and SQL coding to final delivery
• Gather business requirements from internal stakeholders, including Product Managers and customer-facing roles
• Develop, maintain, and optimize ELT processes within our data warehouse
• Deliver intuitive dashboards and analyses that help users get the most out of our tools
• Perform ad-hoc analyses to extract actionable insights from our database using SQL queries

Role Requirements

• 1+ years of hands-on experience in data analytics, reporting, or Business Intelligence
• Working knowledge of SQL with experience in modern cloud data warehouses (we work with BigQuery)
• Ability to conduct the full analysis process: gathering requirements, data analysis, visualization, and presenting results
• Experience with data visualization tools such as Looker Studio, Tableau, Power BI, or other
• Proficiency in spreadsheets (Google Sheets or Excel)
• High level of initiative, problem-solving skills, and entrepreneurial thinking

Nice to have

• Familiarity with Dataform or dbt for data modeling
• Familiarity with Git-based platforms (e.g. GitLab) for version control
• Knowledge of a scripting language (e.g. Python)
• Background in a quantitative field such as data science, economic analytics, econometrics, mathematics, or a related quantitative field

How Do We Work You’ll join a team of 2: Sabina Gołąb, Senior Data Analyst, and Aleksandra Suwińska, Head of Business Intelligence. We operate as "full-stack analysts", meaning we handle the entire data journey from warehouse development to final insights.

In Our Daily Work, We Use

• Data warehouse: Google Cloud Platform & BigQuery
• Code management: Dataform & Gitlab
• Data visualization: Looker Studio, Google Spreadsheets
• Documentation: Confluence
• Task management: JIRA
• Communication: Slack

You will have strong technical and business development opportunities, supported by an Onboarding Buddy helping you navigate our workflows and settle into the team. We don’t expect you to be an expert in everything on day one - we value collaborative learning and support each other every day.