Tableau Developer

Odyssey Reinsurance Company (OdysseyRe) is the global reinsurance arm of Odyssey Group, one of the world's leading providers of reinsurance and specialty insurance. OdysseyRe offers a broad range of property, casualty, and specialty reinsurance products, providing capital and risk management solutions for clients to efficiently manage economic risk, through a network of branch and representative offices across North America, Latin America, EMEA (Europe, Middle East & Africa), AsiaPacific and London.

OdysseyRe is an equal opportunity employer with excellent benefits and a strong commitment to providing training and opportunities for our staff. We provide employees an innovative, enriching environment and take great pride in their career growth.

OdysseyRe is rated A+ (Superior) by AM Best and AA- (Very Strong) by Standard and Poor's. Odyssey Group is a subsidiary of Fairfax Financial Holdings Limited, which is traded on the Toronto Stock Exchange under the symbol FFH.

Job Description:

We are seeking a skilled and motivated Data Analyst Tableau Developer with a strong background in data analysis and visualization, particularly in the insurance and reinsurance domain. The ideal candidate will possess a unique blend of technical expertise and analytical acumen, enabling them to develop insightful Tableau dashboards while effectively communicating with stakeholders at all levels of the organization. This role requires a self-starter who can work collaboratively within cross-functional teams, including data engineers, business analysts, and other data analysts, to deliver high-quality solutions that drive business outcomes.

Responsibilities:

• Develop enterprise-level Tableau dashboards tailored to the specific needs of insurance and reinsurance stakeholders.
• Utilize strong data analysis skills to understand complex insurance and reinsurance datasets, including relevant terminology and calculations.
• Collaborate closely with underwriters, actuaries, and C-level executives to gather requirements and translate them into effective data visualizations.
• Work within an Agile/Scrum development environment, participating in sprint planning, stand-ups, and other related activities.
• Independently initiate and drive projects, taking ownership of the end-to-end development process from data extraction and transformation to final dashboard deployment.
• Communicate effectively with technical and non-technical stakeholders, presenting insights derived from visualizations in a clear and understandable manner.
• Collaborate with the data engineering team to ensure data pipelines are optimized for reporting and visualization needs.
• Keep direct supervisor and relevant teams up to date on project progress, challenges, and opportunities.
• Actively contribute to refining data visualization best practices within the organization.

Qualifications:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience (3+ years) in data analysis, visualization, and development using Tableau, preferably in the insurance or reinsurance sector.
• Strong understanding of insurance and/or reinsurance terminology, metrics, and calculations.
• Proficiency in SQL for data extraction and transformation.
• Excellent communication skills, including the ability to engage with C-level executives, underwriters, actuaries, and technical teams.
• Experience working in an Agile/Scrum development environment, with a collaborative mindset.
• Self-starter with the ability to take ownership of projects and drive them to completion.
• Ability to work well under pressure with demonstrated sense of urgency.
• Thoughtful, pragmatic, agile and commercial approach to development
• Ability to work effectively in cross-functional teams, collaborating with data engineers, business analysts, and other stakeholders.
• Familiarity with insurance-related data tools and technologies is a plus.
• Prior experience working with business users to gather and refine requirements is highly desired.
• Strong problem-solving skills and attention to detail.

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