Business Analyst – Manager Full Time NEW

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.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• 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.

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 shall lead the transformation of business requirements into actionable data solutions. As a Manager, you shall supervise and mentor teams, driving client engagement while upholding PwC’s quality standards and cultivating meaningful client relationships. This role offers the chance to work closely with various stakeholders, leveraging your Property & Casualty Insurance domain knowledge and cloud-based data engineering initiatives to deliver exceptional results.

Responsibilities

• Oversee business analysis for data engineering projects
• Collaborate with clients to gather and document requirements
• Develop and implement analytical frameworks and models
• Mentor junior analysts and promote skill development
• Analyze business processes to identify areas for improvement
• Maintain project deliverables to align with client expectations
• Facilitate communication between technical teams and stakeholders
• Drive strategic initiatives to enhance data-driven decision making

What You Must Have

• Bachelor’s Degree
• 8 years of experience in data analysis and cloud data platforms
• Strong Property & Casualty (P&C) Insurance domain knowledge
• Oral and written proficiency in English required
• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

What Sets You Apart

• 8 to 12 years of experience
• Hands-on experience with Guidewire data model
• Understanding of cloud data ecosystems
• Familiarity with data quality frameworks
• Experience in agile delivery methodologies
• Proficiency in data analysis and requirement documentation
• Ability to communicate effectively with technical teams
• Experience in leading data migration projects