7 years of working experience in a data analyst in a fast-paced and complex business setting.
Working with a wide range of data, in order to develop and analyze financial and operational metrics
Knowledge of analytics tools with experience of data lake technologies, with ability to stay updated on emerging data technologies.
NICE TO HAVE:
Reinsurance (highly preferable)
Competitive Benefits Package
A company with a strong Brand and strong results to match.
Culture of internal mobility, collaboration and valued partnership throughout business.
Flexibility to work in a hybrid model.
The Global CSS MI Lead within the client provides an opportunity to play a leading role in the design, analysis, and facilitation of data-centric workstreams across multiple innovative projects at one of the world’s largest and most respected risk management and reinsurance firms.
The Global CSS MI Lead will serve in a technical and leadership role coordinating development specifications with business leaders and interacting with colleagues across the team to facilitate execution on multiple workstreams and running analyses on various subjects.
Drive performance of analytics solutions to impact overall business results and oversees all data analytics activities.
Work with business stakeholders to set the departmental data strategy and governance in line with GC’s overall strategy, and champion the use of data in making key business decisions.
Work with business stakeholders to manage and prioritize the business’s long-term overall analytical needs and opportunities.
Take initiative in developing training programs meant for improving the departmental heads’ understanding of the use of data, which improves decision-making across the business.
Take initiative in developing training programs to support key development of MI colleagues.
Determine business opportunities to be addressed, define appropriate data models, and works with colleagues to identify and deliver relevant data sources for analysis.
Strive to improve the quality of analytics solutions on a consistent basis.
Communicate equally effectively with senior stakeholders and team members to achieve results.
Further develop and formalize the end-to-end Management Information processes to ensure that reports and analytics developed by the team are reliable, scalable, and insightful to end users.
Analytical expertise with at least 7 years of working experience in a data analyst position.
Experience working as a Senior Data Analyst in a fast-paced and complex business setting.
Vast experience working with a wide range of data, in order to develop and analyze financial and operational metrics.
A working knowledge and ability to discover, interpret and communicate significant patterns in data.
A good working knowledge of analytics tools with experience of data lake technologies, with ability to stay updated on emerging data technologies.
Ability to lead initiatives that relate to individual department optimization, working with Operational leads and other senior stakeholders to improve performance across the business.
Experience working with business stakeholders to drive vision by championing the use of data.
Experience in working in a Reinsurance (highly preferable) or Insurance environment is preferable.