Operations and Change Management - Data Analyst Off-Cycle Internship (Jan - Jun 27)

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

Our Firmwide Corporate Services unite to help build our competitive advantage with first class support internally.

Spanning Administration, Business Development, Chairman’s Office, Compliance, Finance, Human Resources, Learning and Development, Legal, Marketing and Communications, Operations and Change Management, and Technology, we power our lines of services to make sure all of us have the right sources, services and technology to be the best we can be.

Not all of us work directly with external clients. Some of our most talented people choose to harness their skills, experience, expertise and service excellence within PwC. The possibilities are endless and our business landscape is changing everyday.

As a Data Analyst Intern, you will work closely with the IT team to model and query the organisation's core SQL databases, upkeep the data dictionary, and document and monitor connections to source systems. Key responsibilities include performing ETL processes using SQL, Python, or R, and developing business intelligence dashboards in Power BI and Microsoft Fabric to surface insights for stakeholders across the firm.

This role sits at the heart of how the organisation makes decisions — the data curated and visualised by the intern directly informs management strategy and operational priorities. The internship offers hands-on experience from data engineering to visualisation and develops an understanding of how clean, well-presented data drives real business outcomes.

The ideal candidate is curious, detail-oriented, and eager to translate raw data into clear, actionable insights.

Key Responsibilities

Data Infrastructure & Governance

• Model objects within the organisation's core SQL database to support analytical and reporting needs.
• Maintain the data dictionary to ensure accurate, up-to-date documentation of data assets.
• Document and monitor connections between the core database and upstream and downstream source systems.

ETL & Automation

• Perform ETL processes using SQL, Python, or R to integrate data from internal and external sources.
• Automate the retrieval of data from external sources (e.g., APIs) to reduce manual effort and improve timeliness.

Business Intelligence & Reporting

• Develop business intelligence dashboards in Power BI and Fabric to deliver actionable insights to stakeholders.
• Translate analytical findings and detected anomalies into clear reports and dashboards that support data quality monitoring and remediation.

Data Quality & Anomaly Detection

• Ensure data quality within the data mart by developing and maintaining exception reports.
• Apply predictive and statistical modelling techniques to detect data quality issues such as unexpected volume changes, missing data patterns, and outlier values.
• Develop rule-based and model-driven anomaly detection checks, using historical data as a baseline to flag deviations for review.

What we're looking for

• Bachelor's degree in computer science, data science, or a related field
• Experience with data modelling and data dictionary management
• Experience with ETL tools such as Fabric, SQL, Python and R
• Experience with business intelligence tools such as PowerBI or Tableau
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills

Application Notes

• Please indicate your first-choice role and, where applicable, a second-choice role, based on your skills, interests, and career aspirations.
• Only shortlisted candidates will be notified due to the high volume of applications.
• Kindly upload both your resume and academic transcript/degree audit in PDF format
• Have questions? Get in touch with us at sg_graduate_recruitment@pwc.com

There have been reports of scammers impersonating PwC HR professionals contacting individuals about fraudulent job opportunities using non-PwC domain email addresses and an overseas number. Please note that genuine communications from our HR team will only come from "@pwc.com" email addresses.