Remote FBS Data Analyst

Description:

• Our Client is one of the largest insurers in the United States, providing a wide range of insurance and financial services products with gross written premiums exceeding US$25 Billion.
• They serve over 10 million U.S. households with more than 19 million individual policies across all 50 states through a network of over 48,000 agents and nearly 18,500 employees.
• The Data Analyst will be part of the Enterprise ML Ops Capability team, focusing on enhancing the client's ability to deploy and train models at scale.
• Key activities include responding to ad-hoc and routine requests for data, reports, or modeling pipelines, and delivering necessary information and analysis.
• The analyst will gain a clear understanding of customer goals and workflows, explain system functionalities and constraints, and provide accessible data solutions.
• Responsibilities also include evaluating data quality, implementing corrective measures, assessing system modifications, and contributing insights to complex AI/ML modeling initiatives.
• The role requires developing subject matter expertise across various data sources and leveraging proficiency in SQL and Python to design, build, and deploy robust, production-ready code for data pipelines and modeling.

Requirements:

• Candidates should have 4-6 years of experience in a similar role.
• Full English fluency is required.
• A minimum of 4 years of experience in data extraction, manipulation, and presentation in a usable format is necessary.
• A Bachelor’s degree in Information Systems or a related field is preferred.
• Experience in building and deploying code is essential.
• Knowledge of business solutions is required.
• Technical skills include intermediate data mapping, advanced self-starter capabilities, data analytics, and strong communication and stakeholder management skills.
• Proficiency in SQL and Python at an intermediate level (4-6 years) is required.
• Experience with Snowflake is desirable, while AWS experience is highly desirable.

Benefits:

• The position offers a competitive salary and performance-based bonuses.
• A comprehensive benefits package is included.
• There are career development and training opportunities available.
• Flexible work arrangements, including remote and/or office-based options, are provided.
• The work culture is dynamic and inclusive within a globally renowned group.
• Private health insurance is part of the benefits.
• A pension plan is offered.
• Paid time off is included.
• Training and development opportunities are available.