Line of Service
AdvisoryIndustry/Sector
FS X-SectorSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob 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.Why PWC
At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach 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 firms 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 WarehouseOptional 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 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
IC
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more