Data Analyst

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Referral bonus: $800
We are seeking a Data Analyst to join a highly professional team developing a healthcare product.
What is this project about?

The project aims to modernize the way medical records are handled and transferred. They are addressing the issue of outdated and inefficient practices in patient data management, which often involve fax machines and can lead to lost or delayed information, unnecessary reordering of tests, and even malpractice claims.

The solution is to digitize the transfer and release of patient data, providing a more reliable and secure method of handling this critical information. This digital approach is intended to improve patient outcomes by ensuring that all relevant health data is readily available when and where it’s needed.

What does the interview process look like?

– Interview with the Recruiter – up to 30 min.;

– Technical interview with Ralabs – up to 1 hour;

– Technical interview with the client – up to 1 hour.

Requirements and responsibilities

Hard skills
  • 5+ years of experience in data analytics
  • Proficiency in large-scale data analysis (millions of records, complex datasets)
  • Regex-based data processing for parsing and cleaning unstructured or semi-structured data
  • Python scripting – writing reusable scripts for data ingestion, transformation, and automation
  • Data transformation and aggregation – building reliable, well-structured data flows from raw sources to analytics-ready tables
  • Hands-on dbt experience – the entire data infrastructure is built on dbt; comfort working within an existing dbt project is a must
  • Strong communication skills – ability to clearly present findings and collaborate with cross-functional teams
  • Proactive attitude – taking initiative, flagging issues early, and driving tasks to completion without close supervision
  • English – Upper-Intermediate (B2) or higher
Nice to have
  • Experience with Google Cloud Functions
  • Experience with US healthcare data
  • Experience with Tableau
  • Experience with Snowflake
Responsibilities
  • Analyze and process large-scale healthcare datasets
  • Build and maintain data transformation pipelines using Python and dbt
  • Clean, validate, and aggregate data from multiple sources
  • Develop and optimize data models for analytics and reporting
  • Investigate and resolve data quality and integrity issues
  • Collaborate with cross-functional teams to deliver data-driven insights
  • Support the digitization and modernization of medical records workflows
  • Ensure secure and compliant handling of healthcare data

We offer

01
Work vibe
  • Flexible full-time/part-time hours
  • No micromanagement—time logging is for accounting only
  • High-quality equipment (MacBook or your own device)
  • Dynamic, low-bureaucracy environment
  • Team events, swag, and a great crew to hang with
02
Holidays and leaves
  • 20 days of paid annual vacation;
  • 15 days of paid sick leaves;
  • Possibility to use vacation during probation;
  • Maternity and paternity leave;
  • Days off on all government holidays.
03
Education
  • $100 annual education allowance
  • Mentorship program—learn or lead
  • English lessons with biannual reviews
  • Certification cost reimbursement
  • Free access to Udemy courses on request
04
Perks
  • Social package: medical insurance, sports compensation, or psychological training
  • IT Club Loyalty card (Lviv IT Cluster)
  • No overtime—work-life balance matters
  • Transparent payments in EUR/USD, on time every month
  • Assistance with military reservation procedure

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Nataliya Bahan

Head of Recruitment

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