Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Why PWC 

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us 

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " 

 

 

Job Description & Summary:

Data & BI (Core) · 7–10 years of Strong hands-on experience with Power BI (DAX, data modeling,

report/dashboard design) · Experience in data warehousing and data modeling (dimensional modeling,

normalization/denormalization, schema design) · Practical experience building solutions with Power Apps ·

Experience automating workflows with Power Automate · Solid understanding of ETL/ELT concepts and

SQL AI & Emerging Tech · Good working exposure to Claude or similar LLM-based AI assistants —

understanding capabilities, limitations, and practical applications · Working knowledge of MCP (Model

Context Protocol) or similar frameworks for connecting AI models to external tools/data · Demonstrated

experience using AI tools in a professional capacity (not just casual use) — e.g., building AI-assisted

workflows, prompting for enterprise tasks, integrating AI into existing tools · A genuine curiosity for

exploring how AI can be applied — both for personal productivity and at enterprise scale · Comfortable

operating in ambiguity, since AI tooling and best practices are still evolving.

Responsibilities: Required Skills & Experience

Data & BI (Core)

• 7–10 years of Strong hands-on experience with Power BI (DAX, data

modeling, report/dashboard design)

• Experience in data warehousing and data modeling (dimensional

modeling, normalization/denormalization, schema design)

• Practical experience building solutions with Power Apps

• Experience automating workflows with Power Automate

• Solid understanding of ETL/ELT concepts and SQL

AI & Emerging Tech

• Good working exposure to Claude or similar LLM-based AI assistants —

understanding capabilities, limitations, and practical applications

• Working knowledge of MCP (Model Context Protocol) or similar

frameworks for connecting AI models to external tools/data

• Demonstrated experience using AI tools in a professional capacity (not

just casual use) — e.g., building AI-assisted workflows, prompting for

enterprise tasks, integrating AI into existing tools

• A genuine curiosity for exploring how AI can be applied — both for

personal productivity and at enterprise scale

• Comfortable operating in ambiguity, since AI tooling and best practices are

still evolving.

Soft Skills

Strong stakeholder communication — able to translate technical AI/data

concepts to non-technical audiences

Self-driven learner; proactively explores new tools and shares knowledge

with the team

Comfortable balancing "keep the lights on" BI work with forward-looking AI

experimentation

Nice to Have

Experience with other AI platforms (OpenAI, Copilot Studio, Azure AI, etc.)

Familiarity with governance/security considerations for enterprise AI

adoption

Prior experience running internal AI enablement or upskilling initiatives

Mandatory skill sets: • SQL, Power BI, Power Apps , Power Automate, Good working exposure to

Claude or similar LLM-based AI assistants

Preferred skill sets: 

Years of experience required: 7-10 years

Education qualification: BTECH

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Full Stack Development

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 36 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

September 21, 2026