A degree or equivalent in a numerate or analytical science, such as Actuarial Science, Mathematics, or Computer Science.
A remarkable track record, showcasing at least 8 years of hands-on experience in SQL server coding and SQL server database administration.
Immersed in the life insurance industry, preferably reinsurance, with a proven background in the data management realm.
A minimum of 3 years in a leadership capacity, with the ability to guide, mentor, and lead a team of exceptional individuals.
Bonus points for your familiarity with SQL server integration services or similar ETL tools.
Your journey should have encompassed a symbiotic relationship with Business Intelligence, coupled with experience in handling diverse data sources.
You possess a deep understanding of architecture and possess the skills to translate conceptual designs into robust physical and logical databases.
Responsibilities on Your Horizon:
Channel your leadership prowess to guide and empower your team, driving them towards the attainment of key deliverables.
Elevate data organization and precision through your discerning approach.
Contribute to the design and development of systems that fortify our business database, ETL processes, and overall business intelligence.
Exhibit your troubleshooting finesse as you monitor and resolve performance glitches on data servers. Additionally, play a pivotal role in developing business data standards and processes.
Forge clear lines of communication with both internal and external stakeholders, ensuring a profound grasp of diverse data files and business rules.
Leverage your understanding of Life systems, bolstered by your business acumen, to provide a holistic perspective.
Uncover the intricacies of data files through meticulous analysis, providing constructive feedback and insightful recommendations.
Thrive in the domain of process enhancement as you delve into existing business workflows, suggesting effective improvements.
Facilitate seamless transitions in response to evolving user requirements, all while prioritizing knowledge transfer and automation.