Remote Data Analyst - Insurance

About the Role

Our client is seeking a skilled and proactive Remote Data Analyst to join their innovative insurance team, supporting operations across the UK. You will be responsible for collecting, interpreting, and analysing complex data sets to provide actionable insights that drive business decisions, improve operational efficiency, and enhance product offerings. Working remotely, you will collaborate with various departments, transforming raw data into clear, understandable reports and visualisations. This role is perfect for an individual who thrives on uncovering patterns and trends within large volumes of information.

Key Responsibilities

• Collect, clean, and process large volumes of data from various insurance-related sources.
• Develop and implement databases, data collection systems, and data analytics strategies.
• Analyse data to identify trends, patterns, and insights relevant to insurance operations, marketing, and product performance.
• Create clear and compelling reports, dashboards, and visualisations to communicate findings to stakeholders.
• Work closely with business units to understand their data needs and provide analytical support.
• Ensure data accuracy, integrity, and adherence to data governance policies.

Requirements

• Proven experience as a Data Analyst , preferably within the financial services or insurance sector.
• Strong proficiency in SQL and experience with data visualisation tools (e.g., Tableau, Power BI).
• Familiarity with statistical software or programming languages (e.g., R, Python) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and manage time effectively in a remote environment.
• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

Benefits

• Competitive salary and performance incentives.
• Fully remote working position, offering ultimate work-life balance.
• Comprehensive health and wellness benefits package.
• Opportunities for continuous learning and professional development in data analytics.
• A collaborative virtual team environment with regular communication and support.