Business Analyst Manager - Data and Analytics Engineering

About the Role

At PwC, professionals in data and analytics engineering harness advanced technologies to build resilient data solutions that empower clients to transform raw data into meaningful insights, shaping strategic decisions and fostering business advancement.

This role centers on devising and constructing data infrastructure and systems that enable streamlined data processing and insightful analysis. Responsibilities include developing data pipelines, integrating diverse data sources, and delivering transformation solutions.

As a managerial leader, you will enhance your leadership approach by inspiring, coaching, and nurturing your team to consistently deliver quality. Managing performance and leveraging individual strengths to surpass client expectations is pivotal. You'll play an instrumental role in recognizing business opportunities that fuel organizational success, consistently leading with integrity, embodying company values, and promoting technological innovation throughout your team.

Key Responsibilities

• Lead business analysis efforts within data engineering projects.
• Engage with clients to collect and detail their requirements comprehensively.
• Create and apply analytical models and frameworks effectively.
• Mentor junior analysts, fostering skill advancement and knowledge sharing.
• Examine business processes to locate improvement opportunities.
• Ensure project deliverables meet or exceed client expectations.
• Bridge communication between technical teams and stakeholders to facilitate understanding.
• Champion strategic initiatives that advance data-driven decision-making capabilities.

Required Qualifications and Experience

• Bachelor's degree in a relevant field such as BE, B.Tech, MCA, M.Sc, M.E, M.Tech, or MBA.
• At least eight years of expertise in data analysis and cloud-based data platforms.
• In-depth knowledge of the Property & Casualty (P&C) Insurance domain.
• Excellent oral and written communication skills in English.

Differentiators

• Practical experience with Guidewire data models.
• Comprehensive understanding of cloud data ecosystems.
• Familiarity with data quality assurance frameworks.
• Proven experience in agile project delivery methods.
• Skilled in requirement documentation and data analysis.
• Strong communication abilities with technical practitioners.
• Experience managing data migration projects effectively.

About PwC Acceleration Centers

Joining the PwC Acceleration Centers means playing a crucial role in supporting diverse services across Advisory, Assurance, Tax, and Business Services. Here, you will tackle challenging projects and contribute unique services to client engagements through quality and innovative solutions. You'll benefit from dynamic, digitally enhanced training designed to elevate your technical and professional capabilities.