Technical Data Analyst

We are seeking a detail‑oriented Technical Data Analyst to interpret complex data, analyze results, and deliver actionable insights that support informed decision‑making across the organization. This role works closely with IT and business stakeholders , particularly within Property & Casualty (P&C) insurance , to understand data needs, assess existing data assets, and present findings in a clear, concise, and business‑relevant manner.

The ideal candidate will have strong hands‑on experience with Python, MySQL , Agile delivery, and deep domain knowledge in Claims Management and Commercial Lines Policy Administration .

✅ Key Responsibilities

Data Analysis & Insights

• Analyze large, complex datasets to identify trends, patterns, and insights that support business decisions
• Interpret data related to Property & Casualty insurance , including claims and policy data
• Validate data accuracy, consistency, and completeness across multiple data sources
• Develop data summaries, dashboards, and reports for technical and non‑technical audiences

Stakeholder Collaboration

• Partner with IT, business, and product stakeholders to gather and understand data and reporting requirements
• Review existing data assets and recommend improvements or new analytical approaches
• Translate business requirements into technical data analysis solutions
• Present findings and recommendations in a clear, concise, and actionable format

Technical & Tools

• Use Python for data analysis, automation, and data transformation
• Write and optimize MySQL queries for data extraction, analysis, and validation
• Work with structured datasets from enterprise systems related to Claims Management and Policy Administration
• Support data analysis activities within Agile/Scrum environments

Governance & Quality

• Ensure adherence to data standards, best practices, and governance policies
• Document data definitions, assumptions, logic, and analytical methodologies
• Support continuous improvement initiatives by identifying data gaps and process inefficiencies

✅ Required Skills & Experience

Core Experience

• 8-10 years of experience as a Data Analyst / Technical Data Analyst
• Strong experience working with enterprise data environments
• Proven experience delivering insights in SLA‑driven, business‑critical environments

Technical Skills

• Python - data analysis, scripting, automation
• MySQL - advanced querying, performance optimization
• Experience working in Agile (Scrum/Kanban) delivery models
• Strong understanding of data structures, data validation, and analysis techniques

Domain Expertise (Mandatory)

• Claims Management - Property & Casualty
• Policy Administration - Commercial Lines
• Strong understanding of insurance data models, workflows, and business processes

Soft Skills

• Excellent written and verbal communication skills
• Strong analytical and problem‑solving abilities
• Ability to work independently and collaboratively with cross‑functional teams
• Detail‑oriented with a strong focus on data accuracy and quality