0–1 years of experience in data operations, data analysis, or a related analytical area. Basic understanding of data validation, reconciliation, or master data……
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Previous experience or coursework related to data warehousing or database design. Exposure to Big Data processing concepts or frameworks like Apache Spark or……
Experience: Typically 3 or more years of professional experience in data, statistical, or business analysis. Professional certifications in cloud data analytics……
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Experience: Typically 3 or more years of professional experience in data, statistical, or business analysis. Professional certifications in cloud data analytics……
3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior). You should be strong in core data science and applied……
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La posición de Data Scientist - AML & Compliance Analytics es fundamental para nuestra estrategia de seguridad financiera. Manejo avanzado de Python y PySpark .…
Experience with data governance, data quality, and data integrity efforts. At least 8 years of experience in data analytics, with a focus on business……
Process data and conduct exploratory data analysis using visualization dashboards. Develop prediction or prescription models using Machine Learning or other……
Minimum of *5 years of experience* in Business Intelligence, Analytics Reporting, or Data Visualization. Play a key role in shaping the organization's data and……
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At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide as Junior Data Science Analyst
Qualifications
Education
Bachelor's degree in Data Science, Computer Science, Information Systems, Industrial Engineering, Business Analytics, Actuary or a related field.
Experience
0–1 years of experience in data operations, data analysis, or a related analytical area. Internship experience or academic projects may be considered.
Basic understanding of data validation, reconciliation, or master data concepts, with willingness to learn defined processes and tools.
Exposure to business data, reporting tools, or enterprise systems is a plus, but not required.
Core Skills
Organization & prioritization: Juggle multiple deliverables and deadlines while sustaining quality.
Business acumen & active listening: Understand tone, context, and stakeholder needs; incorporate feedback constructively.
Tools
Microsoft Office: Excel, Word, PowerPoint and Outlook
Collaboration platforms: Microsoft Teams, SharePoint, and OneDrive.
Language
English — Intermediate (B2) or higher for global collaboration, reporting, and sometimes stakeholder communications