Analyst, Data Science
Role details
Job location
Tech stack
Job description
As a Data Science Analyst, you will play a hybrid role that combines data science, analytics, and data engineering to transform data into scalable business value. You will be responsible for analyzing complex data, designing and maintaining data pipelines, supporting data architecture, and developing data-driven solutions that enable growth, operational efficiency, and better decision-making.
You will:
- Be part of a large, passionate data science community that is always sharing new learnings, best practices, and a helping hand.
- Build, maintain, and optimize data pipelines and workflows that support analytics, machine learning, and enterprise data needs.
Design, prepare, transform, and integrate large-scale structured and unstructured data sets from multiple internal and external sources.
Support database design, data architecture, and data modeling efforts to ensure scalable, reliable, and efficient access to data.
- Collaborate with stakeholders to gather requirements and translate business needs into technical specifications, data solutions, and actionable insights.
Requirements
- Bachelor's degree in Computer Science, Data Science, Natural Sciences, Engineering, or related field
- Excellent written and verbal communication skills
- Proficiency in programming languages such as Python and database languages such as SQL
- Experience building and maintaining data pipelines, ETL/ELT workflows, and automated data processes
- Experience with Python libraries and frameworks for data engineering, data transformation, statistical analysis, and machine learning
- Familiarity with workflow orchestration and scheduling tools such as Apache Airflow
- Must be comfortable working with global teams spread across multiple regions
Desirable Requirements
- Solid programming skills to retrieve, process, and analyze large-scale data
- Experience supporting machine learning workflows through reliable data preparation and feature engineering pipelines
- Knowledge of data governance and best practices for secure and scalable data solutions
- Experience working in cross-functional teams that bridge analytics, engineering, and business stakeholders
- Experience working with enterprise data platforms such as Teradata
Benefits & conditions
Dell is committed to fair and equitable compensation practices. The total targeted compensation range for this position is $81,600-$112,200.
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com