Sunday, 6 July 2025

PwC Recruitment Drive; Hiring Junior Associate Analyst – Apply Now

 Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Apply a learning mindset and take ownership for your own development.
  • Appreciate diverse perspectives, needs, and feelings of others.
  • Adopt habits to sustain high performance and develop your potential.
  • Actively listen, ask questions to check understanding, and clearly express ideas.
  • Seek, reflect, act on, and give feedback.
  • Gather information from a range of sources to analyse facts and discern patterns.
  • Commit to understanding how the business works and building commercial awareness.
  • Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

Job Title: Junior Data Operations Support Analyst 

Level: Associate  

Department: Data Operations 

Role Summary:   

The Junior Data Operations Support Analyst provides foundational support for the data operations team, focusing on maintaining data accuracy and contributing to process efficiency. In this entry-level role, you will perform essential data entry and verification tasks, ensuring the integrity of organizational data. You will assist in routine data operations activities, including basic reporting and analysis, while learning to identify and resolve data discrepancies. 

Key Responsibilities: 

1. Data Entry and Verification: 

   - Perform data entry tasks with a high level of accuracy and attention to detail. 

   - Verify data entries for correctness and completeness. 

2. Routine Data Operations: 

   - Assist in routine data operations tasks, including data cleansing and validation. 

   - Support the resolution of data discrepancies and issues. 

3. Basic Reporting: 

   - Help create basic reports and visualizations to monitor data quality. 

   - Assist in compiling data for analysis and presentation. 

4. Team Collaboration: 

   - Work closely with team members to support operational processes. 

   - Contribute to team efforts to optimize data operations efficiency. 

5. Skill Development: 

   - Participate in training sessions to enhance data management skills. 

   - Seek guidance and mentorship from senior team members. 

Mandatory Skills: 

High level of accuracy and attention to detail in performing data entry tasks. 

- Capability to verify data entries for correctness and completeness. 

- Familiarity with creating simple reports and visualizations. 

Good to Have Skills: 

- Ability to work closely with team members and contribute to operational processes. 

- Eagerness to learn and enhance data management skills through training.

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