Your impact

As a Data Analyst at our company, you’ll do more than just data analysis - you’ll play a key role in shaping the future of Infermedica. Your responsibilities will include building and maintaining reliable data pipelines within our data warehouse. This work ensures that insights derived from our datasets are trustworthy, helping stakeholders make confident, data-driven decisions. Moreover, you will closely work with Product Managers and most teams across the company. Your insights will help fine-tune features, uncover new growth opportunities, and guide our product’s evolution.

Responsibilities

• Collaborate with Analysts, DevOps Engineers and Developers on data warehouse initiatives
• Develop and maintain data pipelines and ETL processes within the data warehouse
• Monitor data quality and troubleshoot issues in the warehouse environment
• Optimize queries and workflows to improve performance and efficiency
• Work with PMs and stakeholders to understand their data needs
• Analyze product data and conduct ad hoc analyses
• Deliver intuitive data visualizations and communicate key insights
• Create clear reports that support decision-making

Role requirements

• 1,5 - 3 years of hands-on experience in reporting, data analytics, data engineering, data warehousing, or Business Intelligence
• Working experience with SQL in modern cloud data warehouses such as BigQuery (preferred), Snowflake, or Amazon Redshift
• Experience with data visualization tools such as Looker Studio (preferred), Tableau, or Power BI
• Experience with spreadsheets (Sheets, Excel)
• Experience in gathering business requirements and translating them into technical solutions
• Understanding of data workflows and willingness to grow in the data warehouse area
• Willingness to learn, explore, and introduce new tools and approaches
• High level of initiative, problem-solving, and entrepreneurial thinking
• Strong collaboration skills, with experience working closely with business stakeholders and analysts
• Comfortable using English (both written and spoken)
• Adaptable to fast-paced, evolving environments, typical of startup cultures

Nice to have

• Familiarity with Google Cloud Platform tools, including DataForm, Workflows, Cloud Storage, and Vertex AI
• Familiarity with Git-based platforms (GitLab preferred) or other version control system
• Knowledge of a scripting language (e.g., Python, JavaScript)
• Managing tasks and documentation with Jira and Confluence
• Background in data science, economic analytics, econometrics, mathematics, or a related quantitative field

How do we work

Our team currently includes 4 members: the Head of Business Intelligence - Piotr Kurkiewicz, and data analysts - Aleksandra Kabat-Karabon, Aleksandra Suwińska, and Sabina Gołąb. 

Each of us is a ‘full-stack analyst’, taking ownership of the entire data journey - from understanding and gathering business requirements, through designing and implementing ETL workflows, to performing data analysis, building insightful reports and visualizations, and helping users get the most out of our tools. We're also responsible for building and maintaining our data warehouse - and this is where your involvement will be especially important.

You don’t need to be an expert in every area right away - we support each other and learn together every day :)

Please check out the Information clause regarding data processing: here.