Eaton Recruitment Program 2025 | Hiring Apprentice – Data Enablement

Qualifications

• Bachelor’s degree in any discipline.
• Basic knowledge of Microsoft Excel (e.g., formulas, sorting, filtering)

Technical Skills:

• Familiarity with data entry and handling structured information
• Exposure to Power BI or SQL is a plus
• Willingness to learn enterprise systems and data platforms

Soft Skills:

• Eagerness to learn and grow in a data-focused role
• Attention to detail and a methodical approach to tasks
• Good communication and teamwork abilities
• Good Learning Agility
• Ability to manage time and prioritize tasks effectively
• Positive attitude and adaptability in a dynamic environment

Roles & Responsibilities (What you’ll do):

This role supports the team in managing and organizing data across various systems and tools. The apprentice will gain hands-on experience in data entry, analysis, and reporting, while learning how to maintain data accuracy and support business operations.

• Assist in collecting, entering, and updating data in spreadsheets and internal systems, ensuring accuracy and consistency across all entries.
• Support data validation efforts by reviewing datasets for errors, duplicates, or missing values, and flagging issues for correction.
• Help organize and document data in a structured manner to make it easily accessible for team members and stakeholders.
• Participate in basic data analysis tasks using Excel or similar tools, such as summarizing trends, creating pivot tables, or generating simple charts.
• Collaborate with team members to gather data from various sources, clarify requirements, and ensure alignment on data-related tasks.
• Learn and apply internal data quality standards and best practices to maintain clean and reliable datasets.
• Assist in preparing simple reports or dashboards that present data in a clear and meaningful way for internal use.
• Attend team meetings to stay informed about ongoing projects, share progress updates, and contribute ideas for improving data processes.
• Support ad hoc tasks such as cleaning up outdated records, reformatting data for uploads, or helping with data migration between systems.
• Take part in training sessions and self-learning opportunities to build skills in data tools, analysis techniques, and business systems.