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:
At least 0-2 years of experience in Data Analysis or related fields.
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 Data Studio, 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.
