Remote Sr Data Analyst - P&C Insurance

Description:

• Tiger Analytics is an advanced analytics consulting firm that partners with Fortune 1000 companies to generate business value from data.
• The company is seeking a consulting professional, preferably at a managerial level, with excellent storytelling experience.
• The candidate will collaborate with senior leadership and the offshore team and must have a background in the Insurance industry.
• The role involves empowering existing insurance products of the client.
• Responsibilities include writing complex SQL queries to extract, transform, and analyze data using SQL Server and Snowflake.
• The candidate will develop and maintain analytical queries to answer business questions and generate actionable insights.
• The role requires validating data pipelines and ETL processes to proactively identify and resolve data quality issues.
• A solid understanding of data pipelines and ETL processes is necessary.
• The candidate should have 5-10 years of experience in data analysis and profiling, with a graduate degree in Business Analytics, MBA, or a related field.
• Robust, hands-on experience with SQL and Snowflake is required.
• The candidate must have P&C Insurance experience and strong communication skills.
• The role involves converting business requirements into smaller workstreams for data engineers and other analysts on the team.
• The candidate will use data to drive actionable insights and calculate the impact of various launched features.
• Significant career development opportunities exist as the company grows, offering a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.

Requirements:

• The candidate must have 5-10 years of experience in data analysis and profiling.
• A graduate degree in Business Analytics, MBA, or a related field is required.
• Robust, hands-on experience with SQL and Snowflake is mandatory.
• The candidate must have experience in P&C Insurance.
• Strong communication skills are essential for this role.
• The candidate should have a solid understanding of data pipelines and ETL processes.
• Proficiency in writing complex SQL queries to extract, transform, and analyze data is necessary.
• The ability to develop and maintain analytical queries to answer business questions and generate actionable insights is required.
• The candidate must be able to validate data pipelines and ETL processes to identify and resolve data quality issues proactively.
• The role requires the ability to convert business requirements into smaller workstreams for data engineers and other analysts.

Benefits:

• The position offers significant career development opportunities as the company grows.
• The role provides a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment.
• There is a high degree of individual responsibility associated with this position.