
Enterprise Data Transformation Specialist
2 days ago
Job Title: Enterprise Data Transformation Specialist
Job DescriptionWe are seeking a highly skilled and experienced data transformation specialist to play a pivotal role in our enterprise-wide data initiative.
This position bridges the gap between complex business needs and technical data solutions, driving measurable impact on data quality, accessibility, and strategic decision-making.
- Gather, analyze, and translate complex business requirements related to data initiatives that support the enterprise-wide data transformation program.
- Perform in-depth data profiling and gap analysis to identify data quality issues and opportunities for improvement.
- Translate business needs into clear data specifications, including KPIs, metrics, reporting requirements, and functional requirements documents for data solutions.
The successful candidate will be instrumental in translating business requirements into actionable data specifications, contributing to data modeling efforts, developing insightful analytics, and fostering strong cross-functional collaboration to ensure data initiatives align with our strategic objectives.
Key ResponsibilitiesData Analysis & Business Requirements
- Develop and maintain dashboards, reports, and visualizations using tools such as Power BI (or similar BI tools) to support ongoing data quality monitoring and identify opportunities for continuous improvement.
- Utilize advanced SQL skills for data analysis, querying, profiling, and transformation, generating insights, and presenting findings to stakeholders.
Stakeholder Management & Process Design
- Facilitate workshops and conduct user acceptance testing (UAT) for analytical or reporting solutions.
- Manage cross-functional collaboration with business stakeholders, data engineers, architects, and governance teams.
Project Execution & Domain Expertise
- Apply domain expertise in the insurance domain to ensure that industry-specific requirements are accurately captured and aligned with local regulatory standards (e.g., IFRS 17, Solvency II).
- Support project scrum execution by actively participating in sprint planning, daily stand-ups, and retrospectives, ensuring data-related tasks are clearly defined, prioritized, and delivered on time.
Bachelor's degree in Business Analytics, Information Systems, Computer Science, Statistics, Actuarial Science, or a related field.
- 6+ years of experience as a data/business analyst working within insurance or financial services, with exposure to policy, claims, customer, or risk data.
- Industry Expertise:
- Strong understanding of insurance industry standards and regulatory requirements as they impact data capture, usage, and reporting (e.g., IFRS 17, Solvency II).
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