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What will you do?
Identify data required to answer business questions and measure KPIs
Create and maintain accessible data sets for a variety of business uses
Perform data exploration and cleansing activities, evaluating quality measures and recommending improvements
Describe, document, and visualize data sets, including developing or updating reports and dashboards; track usage of published assets
Engage regularly with a wide range of stakeholders and functional teams to complete cross-functional projects and understand the broader Red Hat data ecosystem
Present and explain results to non-technical audiences, sharing meaningful business insights
What will you bring?
Bachelor’s degree or above in Computer Science, Math, Data & Analytics, Computational Linguistics, or related fields
3+ years of professional work experience related to data analysis, data science, or other quantitative roles
Proficiency with python, SQL, and git
Proficiency with the pandas package for data exploration, mutation, and visualization
Ability to create visually compelling reports and dashboards
Experience with data hosting platforms (e.g., RDBMSs, Trino, Snowflake, Databricks, Hive)
Excellent analytical and problem solving skills
Excellent verbal and written communication skills (in English)
Ability to present ideas in user-friendly language for a variety of audiences
Highly self-motivated and directed
Keen attention to detail
Experience working in a team-oriented, collaborative environment
Preferred Skills:
Proficiency with Tableau
Proficiency with no-SQL databases
Experience with AI/ML frameworks
Working knowledge of AWS services such as EC2 and S3 storage
Experience with Linux and OpenShift
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