Data Analyst

medvidi • Poland
Remote
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AI Summary

Transforming mental healthcare by making it more accessible and affordable; owning core operational analytics processes; ensuring high data quality and accuracy.

Key Highlights
core operational analytics processes
data accuracy
high attention to detail
Key Responsibilities
analyse operational performance
build and maintain dashboards
investigate inconsistencies in data
ensure high data quality
provide data-driven insights
make recommendations for operational decisions
Technical Skills Required
SQL relational databases Tableau Python (Pandas, Jupyter Notebooks) Russian
Benefits & Perks
competitive compensation
growth opportunities
health insurance
sports & wellness compensation
fully remote, long-term B2B collaboration
19 working days of vacation per year
4 additional wellness days per year
paid sick leave for the first 5 working days
Nice to Have
experience using Python for data analysis
previous experience in operational, financial, or HR analytics

Job Description


At MEDvidi, we are transforming mental healthcare by making it more accessible and affordable across the United States. Our mission is to remove barriers to mental health support and ensure that everyone can access the care they need.

Data plays a critical role in how we manage operations, measure performance, and make decisions across the organization.

About The Role

We are looking for a Data Analyst to join our Analytics team and work closely with Operations functions: Medical Operations, Finance, and HR.

In this role, you will own core operational analytics processes, ensure high data quality, and help teams make decisions based on accurate, trustworthy metrics. This position requires strong attention to detail, structured thinking, and the ability to work with data that directly affects operational and financial outcomes.

Requirements:

  • 3+ years of experience as a Data Analyst
  • Strong SQL skills and broad experience working with relational databases
  • Experience building dashboards in Tableau (or another BI tool, with willingness to work in Tableau)
  • Ability to ensure data accuracy and consistency across different sources
  • High level of attention to detail and ability to work with accuracy-critical data
  • Strong ownership: ability to independently take responsibility for processes and outcomes
  • Fluent Russian; English level B2 or higher
  • Ability to work CET-overlapping hours, with location outside Belarus and Russia

Nice to Have

  • Experience using Python for data analysis (Pandas, Jupyter Notebooks)
  • Previous experience in operational, financial, or HR analytics
  • Experience working with data reconciliation between financial and product data sources

Responsibilities:

  • Analyse operational performance across MedOps, Finance, and HR, with a strong focus on core operational KPIs
  • Build and maintain dashboards that provide clear and reliable visibility into operational metrics
  • Investigate inconsistencies and gaps in operational, financial, and product data
  • Ensure high data quality and consistency so stakeholders can confidently rely on analytics for decision-making
  • Provide data-driven insights and recommendations to Operations, Finance, and HR teams to support operational decisions

Why Join Us

  • Work on a modern AI product where quality is a strategic function, not a formality
  • Real influence on product direction and engineering practices
  • High-impact work in a product-driven medical tech company
  • Startup environment: fast iteration, high ownership, minimal bureaucracy
  • Competitive compensation and growth opportunities

Benefits

  • Health insurance after probation period
  • Sports & wellness compensation
  • Fully remote, long-term B2B collaboration
  • 19 working days of vacation per year
  • 4 additional wellness days per year
  • Paid sick leave for the first 5 working days
  • Gifts to employees for important events
  • Career Development
  • Personalized English lessons via Preply

Ready to make an impact? Send us your profile - let’s build something meaningful together.

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