Location
Cyprus or relocation to Cyprus
About Ennabl
Ennabl is at the forefront of data-driven transformation for brokers and agents within the insurance industry. We are building a platform that unifies and advances enriched data to accelerate sourcing, advising and managing clients as well as empowers brokers to redefine their strategies for enhanced performance and client satisfaction. Ennabl is headquartered in Greenwich, CT with a global team working in multiple time zones. We are proud of our diverse global team with open culture and excited to grow with more talents. As of April of 2025, Ennabl has over 100 customers and more than 50 employees, and has successfully raised over $14M in funding.
Qualifications
- 3+ years of experience in a data-focused role, preferably working with B2B or SaaS products
- Strong analytical skills and a structured approach to working with both structured and unstructured data
- Experience working with large language models (LLMs), including an understanding of prompt engineering, LLM-based data analysis, and integrating LLMs into data workflows
- Solid understanding of data modeling principles, data quality best practices, and ETL processes
- Experience working with structured data in SQL, spreadsheets, or similar analytical tools
- Ability to clearly document findings, assumptions, and workflows, and to communicate insights effectively
- Comfortable working independently and proactively in a fast-paced, collaborative team environment
- Excellent written and verbal communication skills in English
- Previous experience with insurance data or in the insurance industry is a strong advantage
Responsibilities
- Analyze, interpret, and document unstructured and semi-structured insurance-related text data (e.g., policies, submissions, emails, forms)
- Use LLMs to extract and transform relevant information from large text
- Build and improve ETL pipelines that process and structure textual data at scale
- Collaborate with product, engineering, and client-facing teams to ensure processed data meets business needs
- Normalize and enrich data to ensure consistency, accuracy, and usability across various use cases
- Identify, investigate, and resolve issues related to data quality, completeness, and ambiguity
- Clearly communicate data-related findings and limitations to both technical and non-technical stakeholders
What We Offer:
- Remote work flexibility
- Company stock options granted to employees
- Medical insurance coverage for both the employee and a family
- Employment fully compliant with Cyprus labor legislation, including all mandatory contributions
- Relocation Support: Coverage of flight tickets for you and your family, Payment for accommodation, Assistance with documentation and settling in.
- Reimbursement for software, hardware, and professional development expenses
