Description

• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis
• Retrieve, prepare, and process a rich data variety of data sources
• Apply data quality, cleaning and semantic inference techniques to maintain high data quality
• Explore data sources to better understand the availability and quality/integrity of data
• Gain fluency in AI/ML techniques

Qualifications

• Experience with relational database systems with expertise in SQL
• Experience in data management, data warehousing or unstructured data environments
• Experience with data integration or ETL management tools such as Talend, Apache Airflow, AWS Glue, Google DataFlow or similar
• Experience programming in Python, Java or other equivalent is a plus
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, Google DataStudio, Google Analytics or similar
• Experience with Agile methodology and Extreme Programming is a plus
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership
• Good communication in English