Data Engineering - OAS - Senior Associate

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

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements.

• Must have a robust knowledge of Analytics RPD design, development, and deployment.
• Must possess over 34 years of experience with OBIEE and Oracle Analytics.
• Proficiency in SQL and PL/SQL.
• Strong experience with Oracle Analytics Server (OAS).
• Expertise in BI tools and technologies, including report and dashboard development.
• Experience in data modeling, database design, and performance tuning.
• Proficiency in developing and maintaining subject areas in Oracle Analytics Server.

• Certifications in Oracle Analytics or related BI technologies.
• Experience with cloudbased BI and data warehousing solutions.

Accepting Feedback, Accepting Feedback, Active Listening, 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, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline