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* Conduct exploratory analysis on datasets from multiple sources, including open and vendor data, to identify trends, patterns, and anomalies.
* Develop and implement solutions to improve data quality, including cleansing, validation, and enrichment processes.
* Map data flows, document data sources and transformation logic, and ensure data traceability and compliance.
* Build and automate efficient and scalable data pipelines for data extraction, transformation, and loading (ETL).
* Collaborate with cross-functional teams including data scientists, data engineers, and business analysts to support data strategy and reporting needs.
Required Experience
• Proven experience in data analysis, with a specific focus on open and vendor data.
• Strong ability to identify and resolve data quality issues.
• Advanced technical skills in data management and analysis tools, including SQL and Python.
• Solid knowledge in data mapping and building scalable data pipelines.
• Excellent communication skills, with the ability to explain complex insights clearly and concisely.
• Academic background in Statistics, Data Science, Mathematics, Engineering, or related disciplines.
Seniority level
* Seniority levelEntry level
Employment type
* Employment typeFull-time
Job function
* Job functionInformation Technology
* IndustriesHuman Resources Services
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