Industry/Sector

Specialism

Management Level

Job Description & Summary

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.

At PwC AC, as a Data Business Analyst, the candidate will collaborate closely with onsite/offshore business stakeholders, architects and data engineering teams to gather, analyze, and translate business requirements into actionable data solutions. The candidate will play a key role in bridging business needs with cloud-based data engineering initiatives leveraging ETL frameworks, and Property & Casualty Insurance domain knowledge.The role requires strong understanding of insurance data processes, ability to communicate effectively with technical and functional teams, and hands-on experience in data analysis, requirement documentation, and supporting end-to-end implementation of Cloud Data Platforms. The candidate must be comfortable working in an agile environment and supporting business engagement across multiple workstreams.Years of Experience: Candidates with 8 - 12 years experiencePosition Requirements:Must Have:

Strong Property & Casualty (P&C) Insurance domain knowledge (policy, claims, billing, underwriting data processes).

Guidewire X-Center knowledge and experience with insurance reporting frameworks.

Hands-on experience with Guidewire data model and data dictionary.

Strong working knowledge of Data Warehousing concepts, data modeling, and SQL.

Solid understanding of ETL concepts, data flows, and data transformation logic.

Experience gathering and translating business requirements into technical specifications.

Ability to work closely with data engineering and QA teams to support build, testing, and validation.

Strong analytical and problem-solving skills.

Experience in agile delivery methodologies and tools (Jira, Confluence).

Excellent communication and presentation skills with the ability to interact with business users and technical teams.

Strong ownership to end to end delivery and have experience in leading teams for Data migration projects.

Good to Have:

• Hands-on experience creating functional reports/dashboards for business stakeholders.
• Understanding of cloud data ecosystems across AWS (S3, Glue, Lambda) and Snowflake integration patterns.
• Exposure to data quality frameworks and metadata management.
• Experience working in onsite/offshore engagement models.

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

Travel Requirements

Job Posting End Date