Guidewire Data Analyst
@ Zensar

Pune, Maharashtra, India
On Site
Posted 19 days ago

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Job Details

Job Description

We are seeking a highly skilled and experienced Senior Data Analyst to join our team at Zensar. In this role, you will interact with customers, Guidewire Business Analysts (BAs), and the Data Warehouse team to map the Data Warehouse and Semantic layers.

Key Responsibilities

  • Guidewire Expertise: Leverage deep experience with Guidewire data models (PolicyCenter, BillingCenter, ClaimCenter).
  • Data Warehousing: Collaborate with the Data Warehouse team for seamless data integration.
  • Customer Interaction: Engage with clients to understand and meet their data needs.
  • Business Analysis: Translate business requirements into clear technical specifications.
  • SQL Proficiency: Write and optimize SQL queries for data extraction, transformation, and load.
  • Bridge Role: Facilitate communication between Data Warehousing and Xcenters teams.
  • Communication Skills: Use excellent communication to support transitions from legacy systems.

Qualifications

  • Extensive experience (10+ years) in data analysis and Guidewire models.
  • Strong technical skills in SQL and data mapping techniques.
  • In-depth understanding of Data Warehousing concepts.
  • Excellent communication and problem-solving skills.
  • Experience with cloud data engineering (Azure/AWS) is a plus.

Key skills/competency

  • Guidewire
  • Data Analysis
  • SQL
  • Data Warehousing
  • Mapping
  • Integration
  • Communication
  • Business Analysis
  • Cloud
  • Insurance
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How to Get Hired at Zensar

🎯 Tips for Getting Hired

  • Customize your resume: Highlight Guidewire and SQL expertise.
  • Showcase experience: Detail your data warehousing projects.
  • Research Zensar: Understand their business and tech focus.
  • Prepare stories: Emphasize problem-solving skills in interviews.

📝 Interview Preparation Advice

Technical Preparation

Review Guidewire data models documentation.
Practice SQL query optimization exercises.
Study data warehousing architecture.
Understand cloud service data integration.

Behavioral Questions

Describe a time you solved data issues.
Explain how you manage cross-team collaboration.
Share experience handling customer requirements.
Discuss resolving conflicts during project challenges.

Frequently Asked Questions