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The Data Analyst role involves supporting data-driven processes through analysis and investigation of data-related issues. Candidates should have a bachelor's degree in a relevant field and a minimum of 5 years of experience in data analysis, with strong SQL skills and insurance domain knowledge. Responsibilities include data classification, responding to queries, and collaborating with teams to ensure data quality.
Job Responsibility:
Perform data analysis and data classification across different datasets and domains
Respond to ad‑hoc data queries from stakeholders regarding databases or Excel‑based information
Investigate data issues, including identifying where problems originate in source systems
Write SQL queries to explore, validate, and troubleshoot data scenarios
Develop clear overviews and summaries for reporting needs, such as percentage distributions or breakdowns
Track and document mapping progress for relevant data processes
Perform data analysis on the data mart to support business and reporting requirements
Collaborate with peers to ensure data understanding, consistency, and transparency
Support stakeholders by translating business questions into analytical steps and insights
Requirements:
Bachelor’s degree in a relevant field such as Data Science, Computer Science, Economics, Mathematics, or Information Technology
Minimum 5 years of experience in data analysis
Strong insurance domain knowledge
Advanced SQL skills and the ability to work with relational data
Strong analytical mindset and problem‑solving abilities
Senior to expert level experience in data analysis
Ability to understand data models (no implementation required)
Proficiency with Excel, SharePoint, Confluence, and similar tools
Ability to communicate findings clearly and support business users with data‑related questions
Strong attention to detail and structured documentation approach
Excellent spoken and written English skills
Nice to have:
Knowledge of data modelling or data engineering concepts is nice to have
Familiarity with consuming Data Vault data structures is nice to have
What we offer:
Smooth integration and a supportive mentor
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