V
Lead Software Engineer
Job Description
Ey Responsibilities
Requirements Engineering: Collaborate with business owners (Claims, Underwriting, Policy Administration) to elicit, analyze, and document comprehensive functional and technical requirements for BI and reporting initiatives.
Data Strategy & Reporting: Design, develop, and validate automated reports, dashboards, and data visualizations using BI tools (e.g., Power BI, Tableau). Ensure data accuracy, consistency, and compliance with reporting standards.Gap & Data Analysis: Conduct root-cause analysis on data discrepancies; perform deep-dive analysis on insurance data sets to support strategic decision-making and operational improvements.
Solution Design: Translate complex regulatory or business needs into source-to-target data mappings, logic, and functional specifications for the development team.
Stakeholder Collaboration: Facilitate workshops and walkthroughs to present findings and report prototypes to senior stakeholders, ensuring alignment with business objectives and project KPIs.
Quality Assurance: Lead User Acceptance Testing (UAT), define test scenarios, and validate that reporting outputs meet the intended business outcomes.Required Skills & Qualifications:
Experience: 5–8 years of professional experience in Business Analysis and Business Intelligence, with a strong track record in the Insurance domain (P&C, Life, or Health Insurance).
Domain Knowledge: Solid understanding of insurance lifecycles (Claims, Underwriting, Policy, Billing) and regulatory reporting requirements.
Technical Proficiency
Advanced SQL: Proficiency in writing complex queries, joins, and stored procedures for data extraction and transformation.BI Tools: Hands-on experience with visualization tools such as Power BI, Tableau, or Qlik.
Data Concepts: Familiarity with data warehousing principles, ETL processes, and database modeling.
Agile Proficiency: Proven experience working in Agile/Scrum environments; expertise in Jira/Confluence for backlog management and documentation.Communication: Exceptional stakeholder management skills with the ability to bridge the gap between technical teams and non-technical business leaders.
Education: Bachelor's degree in Computer Science, Statistics, Finance, or a related field.
Requirements Engineering: Collaborate with business owners (Claims, Underwriting, Policy Administration) to elicit, analyze, and document comprehensive functional and technical requirements for BI and reporting initiatives.
Data Strategy & Reporting: Design, develop, and validate automated reports, dashboards, and data visualizations using BI tools (e.g., Power BI, Tableau). Ensure data accuracy, consistency, and compliance with reporting standards.Gap & Data Analysis: Conduct root-cause analysis on data discrepancies; perform deep-dive analysis on insurance data sets to support strategic decision-making and operational improvements.
Solution Design: Translate complex regulatory or business needs into source-to-target data mappings, logic, and functional specifications for the development team.
Stakeholder Collaboration: Facilitate workshops and walkthroughs to present findings and report prototypes to senior stakeholders, ensuring alignment with business objectives and project KPIs.
Quality Assurance: Lead User Acceptance Testing (UAT), define test scenarios, and validate that reporting outputs meet the intended business outcomes.Required Skills & Qualifications:
Experience: 5–8 years of professional experience in Business Analysis and Business Intelligence, with a strong track record in the Insurance domain (P&C, Life, or Health Insurance).
Domain Knowledge: Solid understanding of insurance lifecycles (Claims, Underwriting, Policy, Billing) and regulatory reporting requirements.
Technical Proficiency
Advanced SQL: Proficiency in writing complex queries, joins, and stored procedures for data extraction and transformation.BI Tools: Hands-on experience with visualization tools such as Power BI, Tableau, or Qlik.
Data Concepts: Familiarity with data warehousing principles, ETL processes, and database modeling.
Agile Proficiency: Proven experience working in Agile/Scrum environments; expertise in Jira/Confluence for backlog management and documentation.Communication: Exceptional stakeholder management skills with the ability to bridge the gap between technical teams and non-technical business leaders.
Education: Bachelor's degree in Computer Science, Statistics, Finance, or a related field.
More Info
Key Skills
ETL processes
Data warehousing principles
About Company
Skills:
Selenium, Java, Rest Assured, Appium, Pytest, Zephyr, JIRA, Sql, Jenkins, Jmeter, Gcp, Javascript, Robot Framework, Testrail, Postman, Azure, Python, AWS, Azure DevOps, GitHub Actions
Skills:
Rust, Usb, C, Uart, Gcc, Spi, JIRA, Can, Arm Assembly, Bitbucket, Iar, Gnu Make, I2c, Flash, Python, Atlassian tools, logic analyzers, Oscilloscopes, HAL and Peripheral device drivers, DS-5, Keil