Data Analyst

Offer summary:

• Required skills: 2+ years of experience in data analysis, business intelligence, or feature engineering, experience with Sisense (or similar), strong hands-on skills with PostgreSQL and Python (pandas, NumPy, Matplotlib), data documentation skills, English B2+, Polish C1
• Offer: B2B/UZL, paid days off, 100% remote (or hybrid/onsite - as you prefer), Polish time zone, flexible hours, full-time position, long-term contract, Scrum Teams
• Perks and Benefits: budget for health insurance and sports, budget for self-development, Mentoring Program, individual Career Path, and more
• Tools you'll use: Apple MacBook Pro, Slack, GSuite, GitHub, Jira, Coda, Miro

Your future tasks and duties:

• Collaborate with Product, Operations, Clinical, and Finance stakeholders to capture new reporting and analytics needs
• Translate requirements into data needs by defining sources, fields, and transformations
• Partner with Engineering to review schema changes and ensure new or updated data integrates smoothly into the reporting model
• Develop and maintain SQL models (PostgreSQL) across development and production environments - adding, updating, or removing fields, joins, and custom tables as needed
• Apply consistent naming conventions, definitions, and documentation across data models to support flexible and scalable reporting
• Write transformation logic (in Python where needed) to extend or customize data models
• Perform QA and validation of all new or updated fields/tables against source data to ensure accuracy and reliability prior to deployment
• Designing dashboards that translate stakeholder questions into clear, actionable visualizations (charts, KPIs, trends)
• Maintaining and updating existing dashboards as data models evolve - removing sensitive information and ensuring PHI/PII is restricted to authorized users
• Optimizing dashboard performance by reducing load times, limiting unnecessary joins, and improving clarity
• Documenting calculations and providing contextual notes and narrative elements so dashboards communicate insights, not just data
• Managing distribution and visibility by scheduling static exports, configuring alerts, and monitoring usage to deprecate or consolidate underutilized dashboards

About you - Tech skills & Experience:

• 2+ years of experience in data analysis, business intelligence, or feature engineering
• Deep technical expertise in SQL (specifically PostgreSQL) for query design and optimization
• Advanced experience with Sisense (or similar BI tools) - able to design dashboards for both executive-level decision-making and detailed operational use
• Strong hands-on skills with PostgreSQL (query optimization, schema exploration) and Python (pandas, NumPy, Matplotlib) for automation, transformation logic, and advanced analysis
• Experience in healthcare and/or startup technology environments preferred
• Proven ability to independently manage the reporting lifecycle - from stakeholder requirement gathering to schema/data model integration to dashboard delivery
• Strong data documentation skills: creating and updating data dictionaries, version control of datasets, and maintaining model diagrams with consistent naming and definitions

About you - Soft skills:

• Able to work independently in a highly cross-functional role
• English B2+ for international collaboration, Polish C1 for daily team communication
• Excellent organizational, documentation, and communication skills, with the ability to translate data into compelling, executive-ready insights
• Ability to collaborate effectively with engineering teams to validate schema changes, integrate new data sources, and maintain consistency across the data model
• Skilled at storytelling with data, delivering insights that highlight trends, comparisons, and business impact - not just raw numbers
• Excellent written and verbal communication skills, with experience presenting to executives and non-technical stakeholders
• Comfortable working in a dynamic environment, responding to shifting priorities and delivering under tight timelines

Recruitment process:

• Send us your application and CV! :)
• Phone call with HR (15 min)
• Soft-skills interview with HR (1h)
• Technical Interview with Senior Specialist (2h)
• Feedback and decision!

Sound good?

Apply now!