Digital, Cloud, Data (Data) Consulting Associate - 2026 Intake (FY27)

PricewaterhouseCoopers Schweiz

Singapore

Hybrid

SGD 60,000 - 90,000

Full time

3 days ago

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Job summary

PwC Singapore's SEAC - Cloud, Digital, Data team seeks Associates for the 2025 intake. You will work across diverse industries to develop analytics strategies, build models and visualisations, and help clients make data-driven decisions.

You will analyse large datasets, translate findings for executives, and deliver high-quality client service from home, PwC Singapore office, or client sites.

Qualifications

Final year student or 0–3 years of full-time experience in Data & Analytics role
Experience with cloud data platforms and data engineering
Familiarity with data visualization and analytics tools
Proficiency in at least one programming language used in data analytics

Responsibilities

Perform work across diverse industries and projects, from analytics strategy to building visualisations and models
Analyze large data volumes using proprietary and open-source tools
Translate findings into simple language for stakeholders
Deliver excellent client service and work from home, PwC Singapore office or client sites

Skills

Data Engineering

Cloud Architecture

Data Visualization

Programming Languages

Analytic Thinking

Tools

Azure Data Factory

Databricks

Snowflake

SQL

Power BI

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Associate

Job Description & Summary

About the Team

PwC's SEAC - Cloud, Digital, Data (Data) team helps clients optimise data and analytical assets to make better decisions, work more efficiently, and find new sources of revenue.

The team is a leading digital consultancy. We help businesses, not-for-profits and governments create value and improve the way we work. From improving healthcare, to creating smarter cities and igniting South East Asia’s start up industry, you’ll build trust in society and solve important problems. We’re here because we love what we do and think we can be the best at it. Our culture is magnetic, our workplace is state-of-the-art, and beautifully purpose‑built, and we have the skills and personalities fuelling us to be bold, experimental, creative, and truly disruptive.

PwC is a world leader in the use of analytics to help businesses make better decisions and improve their performance through descriptive, predictive and prescriptive analytics. In our Advanced Analytics team, we are experts in using data and applying advanced machine learning or AI algorithms to solve complex business problems. We augment human intelligence with machine intelligence to help our clients make better decisions, while also transforming into more data driven organisations.

We are looking for Associates to fill our 2025 intake.

About the Role

Perform work across diverse industries and projects ranging from developing organisational strategies for analytics to building sophisticated visualisations and analytical models
Analyze and interpret large volumes of client and external data using proprietary and open source data tools, platforms and analytical tool kits
Translate complex findings into simple language and communicate them to internal and external stakeholders, such as your team members and client executives
Deliver excellent client service and work flexibly from both either Home, PwC Singapore office and at client sites

About you

Below are the attributes and skills we look for in candidates, but don’t be discouraged if you don’t possess all or even most of them. We would still love to talk to you about joining our team.

Final year Business Analytics, Computer Science, Computer Engineering, Engineering, Information Systems, Sciences, Mathematics, Statistics, Physics or related disciplines that possesses an analytical and quantitative component student from a reputable local university or 0-3 years of full-time work experience in a Data and Analytics role

Data Engineering and Architecture on the cloud (e.g. Azure DataFactory, Data bricks, AWS, or Snowflake)
A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J);
A data visualisation tool (e.g. Qlikview, Tableau, PowerBI,);
Data Science coding (e.g. Python, R, VBA, C++, Java);
An analytical software (e.g. R, SAS);

A self‑driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
An appreciation for structured methodical research, critical thinking and problem‑solving skills with an understanding for the application of these skills in the business environment
A natural curiosity to identify, investigate and explain trends and patterns in data
An ability to analyse and break down complex concepts and technical findings into clear and simple language for communication to team members and clients
A passion for Emerging Technologies related to Big Data, Machine Learning and AI

Kindly note only shortlisted candidates will be contacted.

Got a question? Email to ***email_hidden***.

Required Skills