11 дней назад
Data Intern (Data Quality and Reporting)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Intern (Data Quality and Reporting) (Data Quality/Reporting): Checking and reconciling operational and reporting data in a structured hybrid internship based in Istanbul, with an accent on verification accuracy, issue documentation, and recurring error tracking. Focus on maintaining verification procedures, identifying source-level problems, and preparing concise summaries for the data team.
Location: Hybrid in Kadıköy, Istanbul, Türkiye
Company
is an AI-powered precision medicine platform connecting cancer patients with clinical trials and supporting pharmaceutical companies, CROs, and healthcare systems.
What you will do
- Verify operational and reporting data for errors, gaps, and inconsistencies.
- Reconcile figures across multiple sources and document mismatches.
- Perform defined verification checks on weekly and monthly schedules.
- Record issues with enough detail for the data team to trace and resolve them.
- Track recurring error patterns and identify problems that should be fixed at the source.
- Maintain verification procedures and prepare concise result summaries.
Requirements
- Currently pursuing or recently completed a bachelor's degree in engineering, statistics, economics, mathematics, or a related analytical field.
- Working proficiency in Excel or Google Sheets, including formulas, lookups, and pivot tables.
- Strong attention to detail and consistent approach to data verification.
- Advanced written and spoken English required.
- Availability for at least six months required.
Nice to have
- Experience with HubSpot.
- Familiarity with SQL, Python, or a similar tool.
- Experience collecting, cleaning, or checking a real dataset through coursework or personal projects.
- Quality control, auditing, or reconciliation experience.
- Interest in healthcare, oncology, or life sciences.
Culture & Benefits
- Structured and recurring data verification work.
- Opportunity to take on additional analysis over time.
- Collaboration with a data team supporting a global clinical-trial platform.
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