Data Analytics -Senior Associate

A career in our Cybersecurity, Privacy and Forensics will provide you the opportunity to solve our clients most critical business and data protection related challenges. You will be part of a growing team driving strategic programs, data analytics, innovation, deals, cyber resilency, response, and technical implementation activities. You will have access to not only the top Cybersecurity, Privacy and Forensics professionals at PwC, but at our clients and industry analysts across the globe.

Our Investigations team focuses on helping our clients to detect and investigate fraudulent activities or irregularities within their organisation. As part of our team, you will perform fraud investigations, forensic accounting engagements, litigation support, crisis response, insurance claims support, and address antikickback and antibribery matters for a diverse group of both public and private multinational clients, notfor profits and state and local governments. You will work closely with the office of general counsel, chief compliance officers, boards and outside counsel. Our team not only helps clients respond to instances of fraud or irregularity, but also works with them to emerge stronger as an entity.

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Delegate to others to provide stretch opportunities and coach to help deliver results.
• Develop new ideas and propose innovative solutions to problems.
• Use a broad range of tools and techniques to extract insights from from current trends in business area.
• Review your work and that of others for quality, accuracy and relevance.
• Share relevant thought leadership.
• Use straightforward communication, in a structured way, when influencing others.
• Able to read situations and modify behavior to build quality, diverse relationships.
• Uphold the firms code of ethics and business conduct.

• Data Analysis & Visualization
  • Develop and design interactive dashboards, reports, and data visualizations using Power BI and Tableau to provide actionable insights.
  • Collaborate with stakeholders to gather business requirements and transform them into meaningful visuals and stories.
• Data Engineering & Analytics Development
  • Utilize Python and PySpark to process, transform, and analyze large datasets efficiently.
  • Implement advanced SQL queries and Alteryx for complex data manipulation, reporting, and validation.
• Cloud Analytics Solutions
  • Build, maintain, and optimize analytics workflows using Azure Synapse Analytics and Databricks .
  • Leverage cloudbased solutions to design scalable data pipelines and integrate disparate data sources.
• Collaboration & Delivery
  • Partner with US stakeholders and internal teams to understand key business problems and deliver analyticsdriven solutions.
  • Document technical workflows, processes, and best practices to ensure highquality deliverables and knowledge sharing.

• Technical Proficiency
  • Expertlevel knowledge and handson experience with Power BI for data visualization and reporting.
  • Proficient in programming with Python and working with distributed computing frameworks like PySpark .
  • Strong command of Advanced SQL and Alteryx for data analysis and manipulation across relational databases.
  • Demonstrated expertise in working with Azure Synapse Analytics and Databricks for building cloudbased data solutions.
• ProblemSolving & Analytical Thinking
  • Strong ability to analyze complex business problems and translate them into datadriven solutions.
  • Creative mindset with a focus on delivering value through innovative approaches to analytics and visualization.
• Communication & Collaboration
  • Excellent verbal and written communication skills for engaging with stakeholders and explaining technical concepts.
  • Ability to work independently and collaboratively within a team, ensuring high standards of delivery.
• Education & Experience
  • Bachelor s or Master s degree in Data Science, Data Analytics, Information Systems, or a related field.
  • 57 years of relevant experience in data analytics, data engineering, or business intelligence roles.
  • Experience in professional services or consulting is a plus.

• Experience in Prompt Engineering and working with Generative AI (GenAI) solutions.
• Knowledge of Data Science concepts and methodologies.
• Familiarity with Machine Learning techniques and frameworks.

• Education & Experience
  • Bachelor s or Master s degree in Data Science, Data Analytics, Information Systems, or a related field.
  • 57 years of relevant experience in data analytics, data engineering, or business intelligence roles.
  • Experience in professional services or consulting is a plus.

Degrees/Field of Study required Degrees/Field of Study preferred Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Compliance Oversight, Compliance Risk Assessment, Corporate Governance, Creativity, Cybersecurity, Data Analytics, Debt Restructuring, Embracing Change, Emotional Regulation, Empathy, Evidence Gathering, Financial Crime Compliance, Financial Crime Investigation, Financial Crime Prevention, Financial Record Keeping, Financial Transactions, Forensic Accounting, Forensic Investigation, Fraud Detection, Fraud Investigation