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Day 120
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Reads like a Data Engineer role: pipelines and data infrastructure.
Singapore - Marina One
Open 4 months, first seen by us 120 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Job title: Operations and Change Management - Data Analyst Off-Cycle Internship (Jan - Jun 27)
Model objects in the core SQL database for analytical and reporting needs
Perform ETL processes using SQL, Python, or R to integrate data
Build Power BI and Fabric dashboards for stakeholders
Develop exception reports and anomaly checks for data quality
Model objects within the organisation's core SQL database to support analytical and reporting needs.
Perform ETL processes using SQL, Python, or R to integrate data from internal and external sources.
Develop business intelligence dashboards in Power BI and Fabric to deliver actionable insights to stakeholders.
Ensure data quality within the data mart by developing and maintaining exception reports.
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
Open 4 monthsWe first saw this posting 120 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 120
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
27 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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.
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.
- 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
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.
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.
- 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
Complete your application on pwc.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Line of Service
Internal Firm ServicesIndustry/Sector
Not ApplicableSpecialism
IFS - OperationsManagement Level
Intern/TraineeJob Description & Summary
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.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.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Active Listening, Communication, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Teamwork, Well BeingDesired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Singapore - Marina One
Working pattern and location restrictions need checking in the full posting.
Not Specified Available for Work Visa Sponsorship? No