Cloud Data & Analytics Implementation Senior Associate (Insurance)

Position Overview

Industry: Insurance | Specialism: Data, Analytics & AI | Management Level: Senior Associate.
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. You'll focus on aligning client data strategies to their business strategy, assisting in choosing a platform, defining data needs, and migrating to a modern cloud data environment using providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks, or Teradata. At PwC, we value purpose-led and values-driven leadership at every level.

Key Responsibilities

• Use feedback and reflection to develop self-awareness, identify personal strengths, and address development areas.
• Delegate tasks to provide stretch opportunities and coach team members to deliver results.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Utilize a broad range of tools and techniques to extract insights from industry or sector trends.
• Review your work and that of others for quality, accuracy, and relevance.
• Know how and when to use available tools and explain the reasons behind your choices.
• Seek and embrace opportunities that provide exposure to diverse situations and perspectives.
• Communicate in a structured, straightforward manner when influencing and connecting with others.
• Adapt behavior to build quality relationships based on situational demands.
• Uphold the firm's code of ethics and business conduct.

Required Qualifications

• Bachelor Degree is required.
• Minimum 4 years of experience.

Preferred Qualifications

• Certifications in a cloud platform (AWS, Azure, or GCP), Snowflake, or any ETL/ELT tool are preferred.
• Experience with modern cloud data architectures and data integration patterns using tools such as AWS Glue, Azure Data Factory, Event Hub, Databricks, or Snowflake, along with infrastructure as code (CloudFormation, Terraform).
• Strong understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, star & snowflake schemas) and Big Data engineering (Hadoop, Spark, Scala, Kafka) including ETL pipeline development.
• Proficiency in SQL, report generation using visualization tools (Tableau, Power BI, Cognos), and programming in Python or Spark.
• Familiarity with enterprise data concepts such as Master Data Management, Data Governance, and Enterprise Data Warehouse, as well as CI/CD, cloud devops, and container technologies (Kubernetes/Docker) is a plus.
• Prior exposure to insurance data, related KPIs, and industry practices within P&C/L&A sectors is advantageous.

Benefits & Perks

• Compensation: $77,000 - $202,000 with an annual discretionary bonus based on skills, experience, and location.
• Benefits: Medical, Dental, Vision, 401k, Holiday Pay, Vacation, and Personal & Family Sick Leave.
• Travel Requirement: Up to 80%.