IN_Associate_Business Analyst _Data & Analytics_Advisory_PAN India

Overview

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Associate

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.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.


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: 

 

Qualifications: 

• MBA (Finance)/CA/any other equivalent professional degree. 
  

• Strong understanding of insurance processes and products. 
  

• Good understanding of financial regulations and compliance procedures (KYC, Sanction/Embargo, Ratings, etc.). 
  

• Good knowledge / experience of insurance regulations (GDPR, IRDA Act) 
  

• Experience in data management and data governance initiatives. 
  

• Willingness to travel and ready to operate from other locations if required. 
  
  

• The Insurance Business Analyst will play a key role in bridging business and data management functions to drive data governance initiatives within the insurance sector. The responsibilities will include: 
  

• Working closely with business stakeholders to analyze insurance processes and data requirements. 
  

• Supporting data governance initiatives, including data quality improvement, metadata management, and regulatory compliance. 
  

• Mapping business requirements to data governance frameworks and ensuring alignment with organizational data strategies. 
  

• Assisting in defining and implementing data policies, standards, and controls for insurance operations. 
  

• Conducting impact analysis for data-related changes and supporting regulatory reporting requirements. 
  

• Participating in business development activities and contributing to thought leadership in insurance data governance and management. 
  
  

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Doctor of Philosophy, Bachelor of Engineering, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Chatbots, Data Structures, Generative AI

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy {+ 22 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