Data Analyst

We are looking for a skilled Data Analyst to join our Team and work with US-based clients - referrals from the high-end American tech market.

Your work will revolve around data exploration, visualization, and insight generation using tools like SQL, Python, and modern BI platforms. You'll analyze complex data sets to drive platform improvements and support business and clinical decisions. You’ll collaborate with Product, Operations, Growth, and other teams to deliver insights and visualizations that measure impact, evaluate performance, and inform strategy.

Enjoy the flexibility of working within the Polish time zone while collaborating with international teams across HealthTech, and other data-driven industries.

• 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, 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!