Technical Data Analyst

As a Technical Data Analyst at Argo Group, your key responsibilities will include gathering and analyzing claims data, building and distributing reports, mentoring team members, and managing the reporting calendar. You'll act as a liaison for reporting requests, ensuring that business needs are met efficiently. Your role is critical in supporting U.S. Claims compliance and promoting effective data management practices within the organization.

To be considered for the Technical Data Analyst position at Argo Group, you'll need a minimum of five years of experience in data and compliance within a claims environment. A bachelor's degree is strongly preferred, along with proficiency in MS Office Suite, especially Access and Excel. Familiarity with SQL, data mining, and profiling software is essential, along with a deep understanding of the claims business.

Argo Group is committed to employee development and offers various opportunities for growth, including Argo Academy for continuous learning and professional development. They encourage career mobility and support employees in pursuing industry designations. The culture at Argo emphasizes collaboration and innovation, fostering an environment where you can thrive and develop your skills further.

The work culture at Argo Group is dynamic, collaborative, and inclusive. Employees are encouraged to share their perspectives and ideas, contributing to a vibrant team atmosphere. With a flat organizational structure, you’ll interact closely with senior management and have a direct impact on operations. The company values communication, mutual support, and recognizes employees' contributions and successes.

Key skills for success as a Technical Data Analyst at Argo Group include strong analytical capabilities, excellent communication skills, and a solid understanding of data management principles. You should possess a customer-focused mindset, the ability to work independently, and demonstrate effective time management skills. Intellectual curiosity and a problem-solving attitude are also crucial for thriving in this role.

When answering this question, focus on specific projects where you gathered data, analyzed trends, and summarized findings. Highlight the tools and software you used, the types of claims data you worked with, and how your findings positively impacted decision-making or operations.

Discuss your approach to assessing urgency and importance, and how you communicate with stakeholders to understand their needs and set realistic timelines. Highlight your organizational skills and perhaps mention tools you use for project management to stay on top of tasks.

Share specific instances where you wrote SQL queries to extract or manipulate data. Explain how your SQL skills contributed to achieving better analytical outcomes or improving data accuracy in reports.

Emphasize the importance of validation checks and consistency in data collection processes. Discuss any tools or techniques you utilize to double-check your work and the steps you take when inaccuracies are found.

Focus on a specific example, detailing the problem, your thought process in addressing it, and the eventual resolution. Highlight any collaboration with IT or team members to emphasize teamwork.

Describe the techniques you use, such as data visualizations or simplified reports, to make complex data comprehensible for stakeholders. Mention any success stories where effective communication led to informed decisions.

Express a growth mindset and openness to constructive criticism. Provide an example where feedback helped you improve your work or led to a beneficial change in approach.

Discuss your experience with relevant software like Tableau or Power BI, explaining how these tools enhance your ability to present data clearly and effectively, helping stakeholders interpret data better.

Mention any professional development activities you engage in, such as webinars, industry conferences, online forums, or subscriptions to relevant journals that keep you informed about trends in data analysis, particularly within the insurance industry.

Provide a specific example where your contributions, whether through analysis, innovation, or teamwork, led to improved outcomes for your team or organization. Highlight collaboration and your role in reaching team goals.