Data Analyst

Job description

A data solution analyst generally works on implementing complex data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms. He or she should be able to decide on the needed hardware and software design needs and act according to the decisions. The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions.

Ideal candidate for this role is someone with a strong background in computer programming, who is eager to tackle problems with large, complex datasets using the latest SQL, python, or Spark. You are a self-starter who will take ownership of your projects and deliver high-quality data-driven analytics solutions. You are adept at solving diverse business problems by utilizing a variety of different tools, strategies, algorithms, and programming languages.

Specific Responsibilities Are As Follows

  • Strong analytical & logical skills
  • Utilize the data skills within and outside of the developing Chubb information ecosystem for discovery, analytics and data management
  • Work with data scientists, architects, business partners and business analysts to understand requirements, design and build effective solutions
  • Understanding of P&C insurance processes, risk data attributes and concepts such as Limits, Exposure bases, Coverages, Packaged, Rating Factors, etc. Experienced in identifying, capturing, profiling & analyzing data from multiple sources (internal and external).
  • Skilled in identifying remediation solutions for addressing data issues. Experience in documenting data capture requirements, source to target mappings, data flow diagrams, entity relationships and complex data models. Experienced in translating business needs into systems requirements including rating systems, reports, dashboards and scorecards with minimal or no supervision
  • Work with various relational and non-relational data sources with the target being Azure based SQL Data Warehouse & Cosmos DB repositories
  • Sourcing data from multiple applications, profiling, cleansing and conforming to create master data sets for analytics use
  • Design solutions for managing highly complex business rules within the Azure ecosystem
  • Experience working/creating Rule Engines


Skills Required

  • Extensive experience working with Data APIs (Working with RESTful endpoints and/or SOAP)
  • Knowledge of any commercial distribution like Horton Works, Cloudera, MapR, DataBricks etc. a must
  • Excellent working knowledge of relational databases, MySQL, Oracle etc.
  • Hands on experience of ETL tools like Informatica and SSIS is preferred
  • Good knowledge of Python libraries like Pandas, NumPy, scikit-learn etc.
  • Ready to learn new technologies and tools


  • Bachelor’s in computer science or related educational background
  • Prior experience of Insurance domain a huge plus
  • 5+ years of experience

Flexible Working

We are open to discussing flexible working arrangements. This can be discussed with the Recruitment Business Partner managing this position.

Integrity. Client focus. Respect. Excellence. Teamwork

Our core values dictate how we live and work. We’re an ethical and honest company that’s wholly committed to its clients. A business that’s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that’s collaborative and supportive.

Diversity & Inclusion

At Chubb we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances.

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