... working in data, with experience spanning multiple data disciplines, including data science, data engineering, data analysis, and data warehousing. 3+ years of experience in data modeling at a high-growth ... that the data models would be able to ...
... and implement risk mitigation strategies. Data Analysis: Utilize HR data analytics to measure the impact ...
... built, tested and deployed. Our data stack We collect data from dozens of data sources, ranging from transactional data, availability data, payments data, customer event-level data, voice-of-customer data, third party data and much much more. Our ...
... efficiently discover and onboard new data sources to enrich the organizations assets. Data Mapping: Design and implement data mapping processes to ensure seamless ... Python, Scala, or SQL for data manipulation and transformation. Hands-on ...
... is able to leverage the data it has access to across ... working practices.Furthermore, you understand data and business requirements and are ... to implement various methodologies of data extraction, transformation and storage and ...
... is able to leverage the data it has access to across ... working practices.Furthermore, you understand data and business requirements and are ... to implement various methodologies of data extraction, transformation and storage and ...
... lookout for an experienced Senior Data Analyst. The Global Analytics team is a diverse collective of Data Scientists, Data Engineers, Business Intelligence Specialists, and Analytics Translators, with footprints ...
... support. In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration. Strong project management skills, ...
... IT with a focus on Data Engineering. Experience with designing data platforms on AWS. Including designing ... relational and non-relational databases, data warehouses, ETL ELT processes, and data management tools. Experience with various ...
... proven track record of managing data pipelines in complex data landscapes. Data Architecture Knowledge: Solid understanding of data integration methods, ETL ELT processes, ...