Job Overview
Role: Apprentice – Data Enablement Location: Pune Experience: Freshers Qualification: B.E / B.Tech / Diploma / Any Degree Key Skills: Data Maintenance, Validation, Basic Analysis, Reporting Support, Microsoft Excel
Job Description
As a Trainee / Apprentice in the Data Enablement team at Eaton, you will support the organization in managing, validating, and organizing datasets across various internal tools and enterprise platforms. This role is designed to provide hands-on experience in corporate data administration, analysis, and clean reporting pipelines. Your responsibilities will include assisting in data collection, entry, and updates, reviewing datasets for errors, and flagging them for corrections. You will also participate in fundamental data manipulation using Microsoft Excel, assist in compiling operational data for dashboards, and help with minor data migration and archiving activities.
Roles and Responsibilities
- Data Maintenance: Assist in collecting, entering, and updating structured records across spreadsheets and internal management systems.
- Validation & Quality: Review active datasets to identify errors, duplicates, or missing parameter values, and flag them systematically for operational corrections.
- Basic Analysis: Participate in fundamental data manipulation using Microsoft Excel, generating basic charts, summary tables, and pivot tables.
- Reporting Support: Assist in compiling operational data to prepare simple dashboards and status updates for team stakeholders.
- Ad Hoc Operations: Help with minor data migration activities, reformatting files for clean uploads, and archiving redundant enterprise records.
Skills and Eligibility Criteria
Educational Background: Bachelor’s degree in any discipline, engineering graduate, or diploma holder.
Experience: Freshers
Mandatory Technical Skills:
- Functional familiarity with Microsoft Excel operations (sorting, filtering, core mathematical formulas)
Competencies:
- Plus Skills: Any academic exposure or conceptual awareness of Power BI dashboarding or SQL database queries is considered an asset.
- Professional Attributes: Attention to structural detail, high learning agility, and a methodical approach to handling massive datasets under team environments.