Job Description

• Strong understanding of data architecture, modeling, and the ability to work closely with data engineers to oversee the development of data solutions.
• Expertise in identifying business needs and translating them into technical requirements for data processing and analytics.
• Proficiency in managing complex data projects, prioritizing tasks, and meeting deadlines. Experience with agile methodologies and tools like Jira is essential.
• Familiarity with data governance principles and practices to ensure that the data strategies align with legal and business standards.
• Ability to communicate effectively with stakeholders including Business Partners, and technical teams to ensure clarity and alignment on objectives.
• Strong analytical skills to troubleshoot and resolve data-related issues, optimizing data flows and quality.
• Hands-on experience with SQL, data warehousing solutions, ETL processes, and PySpark
• Understanding of the industry and how data-driven insights can drive business strategies and decisions.
• Ability to lead and inspire teams, acting as a liaison between technical and non-technical stakeholders.
• Knowledge of data quality assurance practices to oversee the testing and validation of data solutions.
• The capacity to adapt to new challenges and changes in the business environment or technology landscape.

• Bachelors degree in a quantitative field such as Computer Science, Data Science, or equivalent work experience; masters degree preferred.
• Insurance experience is highly preferred.
• Solid foundation in data structures, algorithms, and system design.
• Experience with modern data storage, messaging, and processing tools (e.g., SQL, NoSQL, Kafka, Redis), and cloud services (e.g., Azure, AWS).
• Proficiency in one or more programming languages relevant to data engineering, such as Python, Java, or Scala.
• Strong interpersonal skills with the ability to convey complex data concepts to non-technical stakeholders.

Job Tags

Similar Jobs