Data Analyst Associate — SQL, Python, Power BI

PwC Singapore; Singapore; On-site; SGD 56,000 - 89,000; Full time

Job summary

PwC Singapore is seeking an Associate-level Business Analyst to support data-driven decision making. You’ll model data in the core SQL database, maintain the data dictionary, and deliver dashboards using Power BI.

The role collaborates with Business and IT to ensure data accuracy and clear analytics across the organisation. You will work on ETL processes with Python/SQL, strengthen data quality controls, and automate data retrieval to enhance reliability.

Qualifications

• Bachelor's degree in computer science, data science, or a related field.
• 1-2 years of experience with SQL and Python.
• Experience with data modelling and data dictionary management.
• Experience with ETL tools such as Python, SQL or R.
• Experience with business intelligence tools such as PowerBI.

Responsibilities

• Model and maintain objects in the organisation’s core SQL database to support reliable reporting and analytics.
• Maintain the data dictionary.
• Document, monitor, and troubleshoot data connections between source systems and the core SQL database.
• Develop and maintain exception reports to identify, investigate, and resolve data quality issues in the database and source systems.
• Automate information retrieval from external sources to reduce manual effort and improve system reliability.
• Develop business intelligence dashboards using PowerBI.
• Perform ETL using Python or SQL.

Skills

SQL

Python

Data modelling

PowerBI

ETL

Education

Bachelor's degree in computer science or data science

Tools

PowerBI

SQL

Python

R

Job description

PwC Singapore is seeking an Associate-level Business Analyst to support data-driven decision making. You’ll model data in the core SQL database, maintain the data dictionary, and deliver dashboards using Power BI.

The role collaborates with Business and IT to ensure data accuracy and clear analytics across the organisation. You will work on ETL processes with Python/SQL, strengthen data quality controls, and automate data retrieval to enhance reliability.