Data Analyst

ITMAGINATION, now part of the Virtusa Group helps its Clients by becoming a true extension of their software and data development capabilities. Through the readily set up, comprehensive, and self-governing teams, we let our Clients focus on their business while we make sure that their software products and data tools scale up accordingly and with outstanding quality.

We are looking for experienced team players to fill the position of Data Analyst and participate in our up-and-coming project for our client from medical industry.

Responsibilities:

• Standardise and harmonise data across multiple clinical studies with varying conventions and standards

• Identify patterns, inconsistencies, and anomalies across datasets and define mapping/validation rules

• Improve FAIR (Findable, Accessible, Interoperable, Reusable) data maturity (metadata, lineage, quality rules)

• Translate ambiguous business questions into clear analytical requirements and data solutions

• Perform data sourcing, transformation, reconciliation (Python, SQL, AWS)

• Ensure GDPR-compliant and ethical use of patient/study data

• Communicate insights, assumptions, and limitations clearly to stakeholders

Requirements

• Strong analytical problem-solving skills in ambiguous environments

• Proven ability to standardise and harmonise heterogeneous datasets

• Strong pattern recognition across multiple datasets/studies

• Advanced Python and SQL skills (profiling, validation, reconciliation)

• Experience working in AWS-based data environments (e.g., S3, query/processing services)

• Experience with data visualisation tools (e.g., Power BI or similar)

• Strong documentation and stakeholder communication skills

• Ability to quickly learn new domains and data standards

Nice to Have

• Familiarity with clinical trial data standards (e.g., CDISC SDTM, ADaM)

• Experience working with SAS datasets or legacy clinical environments

• Understanding of clinical study conduct and patient data governance

• Exposure to Machine Learning / AI use cases

• Experience exploring LLM-based or agentic tooling in data workflows

Benefits

• Hybrid work model from Warsaw's office (once a week onsite, 90% remote)

• Professional training programs – including Udemy and other development plans

• Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row