Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior 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:  

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. 

 

Why Join Us? 

• Work on a high-impact data transformation and AI readiness program 

• Exposure to modern data stack (Snowflake + Salesforce ecosystem) 

• Opportunity to shape enterprise-wide data integration architecture 

Responsibilities: 

Lead the design, development, and implementation of data architecture and solutions

• Oversee, develop and manage data transformation processes within Snowflake to ensure data integrity, quality, and performance.

• Design and optimize Data Warehouse (DWH) and Business Intelligence (BI) architectures to support business analytics and reporting needs.

• Well versed with Salesforce & CPQ data and architecture. Understands financial bookings and revenue reports in Salesforce and DWH, ensuring accurate reporting and reconciliation practices.

• Provide technical leadership and mentorship to a team of data engineers and analysts, fostering a culture of innovation and continuous improvement.

• Collaborate with cross-functional teams to gather and analyze business requirements, translating them into technical specifications and data models.

• Implement and maintain best practices for data management, data governance, and data security.

• Implementation of BI tools, like Tableau, Power BI, Sigma Computing, and others, to enhance data visualization and reporting capabilities.

• Stay current with industry trends, emerging technologies, and best practices in data architecture, data transformation, and BI tools.

 

Mandatory skill sets: 

 

 Solution Architectn Snowflake, Data warehousing, BI Tools Experience, Data Migration on or from snowflake

 

Preferred skill sets: 

 Snowflake

Years of experience required: 

5 to 10 years

Education qualification: 

 

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

• A minimum of 10 years of experience in data architecture, data engineering, or a related field.

• Proven expertise in Snowflake and data transformation processes within Snowflake.

• Strong background in Data Warehouse (DWH) and Business Intelligence (BI) architecture.

 

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

Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering, MBA (Master of Business Administration)

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

AWS Database Migration Service (DMS), Database Modeling, Snowflake Data Warehouse

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining {+ 41 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

July 13, 2026