Data Analytics - Senior Associate

Management Level Senior Associate Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. In IT audit at PwC, you will focus on helping to assess and evaluate the design and effectiveness of an organisation's IT systems and controls to provide compliance with regulations and mitigate risks. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: 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 Firm's code of conduct, and independence requirements.

Must be a Namibian   Citizen. Persons with disabilities and persons from previously disadvantaged designated groups are encouraged to   apply. Bachelor's Degree in Computer Science , Information Technology, Business, Engineering, Data Engineering, Mathematics, Accounting,  Economics  or any related field. 2 -3 Year's prior work experience will be  advantageous  in a similar position.     Experience with Hadoop, NoSQL and other Big Data technologies would be an added advantage.     Machine learning algorithms (e.g. k-nearest neighbours, random forests, ensemble methods, deep neural networks, etc.) and when it is  appropriate to  use each technique will count in your favour.     We are looking for motivated, enthusiastic individuals to join our team. People with the right blend of hands-on data/programming experience, a passion for innovation and an understanding of the markets in which we work.     Experience   applying data fundamentals, including working with different data types, understanding their limitations, and selecting   appropriate data   structures for specific use cases.   Knowledge   and experience in each of the three areas :   Data Storage Technologies ( i.e.   SQL, NoSQL, MS SQL Server, Oracle, Hadoop, MSFT Access, etc.)     Data Manipulation and Analysis Languages (i.e., Python, R/SAS, Julia, Java, C#, etc.)    Visualization Technologies ( i.e.   Power BI/Tableau/QlikView, Advanced Excel, Python   libraries (Matplotlib, Seaborn), etc. )  Knowledge   and experience in Microsoft SQL Server and Python (Pandas, Polars,   Dask ,   DuckDB   and/or   Numpy ) would be an added advantage.   Flexible mind-set and comfort with multi-tasking. You will be exposed to  different products , and your role may change rapidly given shifting product priorities and resource needs.      Ability to grasp a range of functional and non-functional