EY Hiring Junior Data Analyst (Python/Pandas) Ernst & Young (EY), one of the world’s leading professional services organizations, is hiring a Junior Data Analyst (H/F) for its Tax Technology Transformation team. This role offers a competitive salary and a chance to work in a fast-paced, data-driven environment where technology meets tax innovation. The position requires strong Python/Pandas skills, along with the ability to work with accounting and financial datasets.
If you’re looking to begin your data analytics career at a global firm, this opportunity at EY is a perfect fit.
EY Hiring Junior Data Analyst Job Overview
EY is seeking a Junior Data Analyst with proven experience in Python, Pandas, SQL, and data manipulation techniques. The role involves working closely with tax and technology professionals to support data transformation, automation, and advanced analytics projects. Proficiency in French and English is required, as the role involves documentation and communication with multilingual teams.
Key Responsibilities
1. Data Manipulation Using Python & Pandas
The primary role involves performing end-to-end data manipulation:
- Importing datasets from multiple formats
- Cleaning and transforming accounting data
- Handling DataFrame operations, filtering, merging, and grouping
Analysts must ensure the data is accurate, structured, and ready for analysis.
2. Automating Data Cleaning Processes
The candidate will write efficient Python scripts to automate repetitive data reconciliation and cleaning tasks. Automation helps improve accuracy and reduces manual effort.
3. Building Data Pipelines
EY requires the analyst to build and maintain data pipelines that connect to:
- SQL databases
- Excel files
- APIs
These pipelines help streamline data flow for tax and finance teams.
4. Data Analysis & Insights
Using Python, Pandas, and analytics techniques, the analyst will interpret accounting data and generate insights that support business decisions. This includes variance analysis, reconciling datasets, and identifying trends.
5. Reconciliation of Tax & Accounting Data
A major responsibility involves reconciling:
- Tax datasets
- Accounting records
- Financial statements
This helps ensure data integrity and compliance.
6. Reporting & Visualization
The analyst will create clear visualizations and reports using:
- Python libraries
- Excel
- Dashboards
These reports are used to communicate findings to technical and non-technical teams.
7. Documentation & Collaboration
The role requires attending meetings, documenting technical processes, and collaborating with the broader Tax Technology Transformation team.
Required Technical Skills
Candidates must have:
- 1+ year of hands-on Practical Python coding experience
- Strong expertise in Pandas: DataFrames, merges, groupby, cleaning, transformations
- Knowledge of SQL queries and relational database concepts
- Familiarity with accounting principles and financial data structures
- Good communication skills in French and English
- Proficiency in Microsoft Excel
Candidates should ideally share a GitHub portfolio or code samples demonstrating their Python/Pandas expertise.
Educational Qualifications
EY accepts candidates with a:
- Bachelor’s or Master’s degree in
- Accounting
- Information Technology
- Business Analytics
- Data Science
- Related fields
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