Line of Service

Advisory

Industry/Sector

FS X-Sector

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities:

· Develop a deep functional understanding of General Insurance operations across policy administration, claims lifecycle, underwriting, billing, and regulatory reporting. · Lead data requirement gathering for projects involving data warehouses, data lakes, and operational data stores. · Translate business needs into structured deliverables including: · Business Requirement Document · Data Dictionaries and Business Glossaries · Source-to-target mappings, transformation logic, and data validation rules · KPI-Dimension Matrix and ETL Strategy · Design and maintain conceptual and logical to support insurance systems. · Normalize and de-normalize data structures, define hierarchies, and incorporate business semantics into model design. · Perform data profiling, validation, and SQL-based analysis to support requirement definition and quality assurance. · Work with developers and data engineers to ensure models are implemented correctly and optimized for performance and usability.

Mandatory skill sets:

· 5-7 years of overall experience in IT or Consulting, with a strong focus on

Insurance Business Analysis and Data Modelling · Strong understanding of one or more of the following insurance processes · Policy Lifecycle (Issuance, Renewals, Cancellations) · Claims Lifecycle (FNOL, Adjudication, Settlement, Recoveries) · Underwriting & Risk Assessment · Commission & Distribution Management · Billing · Regulatory and Statutory Reporting · Proven experience with data projects, including requirement gathering, transformation logic, mapping, and validation · Expertise in SQL for data analysis and transformation · Knowledge of data warehouse, ODS, and data lake architectures · Familiarity with both modelling techniques like Normalization etc. · Exposure to Agile and Waterfall delivery models · Excellent documentation, stakeholder management, and communication skills

Preferred skill sets:

· Experience working on insurance core systems like Guidewire etc. · Understanding of regulatory requirements in the insurance industry (e.g, IFRS 17) · Exposure to cloud platforms like AWS or Azure etc. · Basic familiarity with data visualization tools like Tableau or Power BI, · Insurance certifications (e.g., LOMA, III) are a plus

Years of experience required:

4 – 7 yrs

Education qualification:

Btech/MBA/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Azure Data Lake, Data Warehouse

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date