Manager-Data Modelling_D&A_Advisory

Not Applicable Data, Analytics & AI 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

• Extensive practical experience in Information Technology and software development projects of with at least 8+ years of experience in designing Operational data store & data warehouse.

• Extensive experience in any of Data Modelling tools Erwin/ SAP power designer.

• Strong understanding of ETL and data warehouse concepts processes and best practices.

• Proficient in Data Modelling including conceptual, logical and physical data modelling for both OLTP and OLAP.

• Ability to write complex SQL for data transformations and data profiling in source and target systems

• Basic understanding of SQL vs NoSQL databases.

• Possess a combination of solid business knowledge and technical expertise with strong communication skills. Demonstrate excellent analytical and logical thinking.

• Good verbal & written communication skills and Ability to work independently as well as in a team environment providing structure in ambiguous situation

Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Data Modeling Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more} No No