Business Analyst

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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.

Skills

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 Firms code of conduct, and independence requirements.
  
  

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics Engineering team you play a pivotal role in bridging business needs with innovative data solutions. As a Senior Associate you guide and mentor others, navigating complex challenges while building meaningful client relationships and enhancing your personal brand. This is an exciting opportunity to leverage your Property & Casualty Insurance domain knowledge and technical strengths in a dynamic environment, contributing to impactful cloud-based data engineering initiatives.

Responsibilities

• Analyze business requirements and translate them into technical specifications
• Collaborate with teams to design data-driven solutions
• Support the implementation of analytics tools and methodologies
• Mentor junior analysts and provide guidance on recommended practices
• Stay current with industry trends in data analytics
• Conduct workshops to gather stakeholder input and feedback
• Maintain data integrity and compliance with standards
• Generate reports to communicate findings and recommendations
  
  

What You Must Have

• Bachelors Degree
• 5 years of experience
• Oral and written proficiency in English required
  
  

What Sets You Apart

• 5 to 8 years of experience
• Proven knowledge of Property & Casualty Insurance domain
• Experience with Guidewire X-Center and reporting frameworks
• Hands-on experience with data modeling and SQL
• Understanding of ETL concepts and data transformation
• Experience in agile delivery methodologies and tools
• Excelling in communication and presentation skills
• Demonstrating ownership of end-to-end delivery
• Travel to client locations may be required

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