Data Analyst

Overview

Good things are happening at Berkshire Hathaway GUARD Insurance Companies. We provide Property & Casualty insurance products and services through a nationwide network of independent agents and brokers. Our companies are all rated A+ “Superior” by AM Best (the leading independent insurance rating organization) and ultimately owned by Warren Buffett’s Berkshire Hathaway group – one of the financially strongest organizations in the world! Headquartered in Wilkes-Barre, PA, we employ over 1,000 individuals (and growing) and have offices across the country. Our vision is to be a leading small business insurance provider nationwide.

Founded upon an exceptional culture and led by a collaborative and inclusive management team, our company’s success is grounded in our core values:  accountability, service, integrity, empowerment, and diversity. We are always in search of talented individuals to join our team and embark on an exciting career path!

Benefits:

We are an equal opportunity employer that strives to maintain a work environment that is welcoming and enriching for all. You’ll be surprised by all we have to offer!

• Competitive compensation
• Healthcare benefits package that begins on first day of employment
• 401K retirement plan with company match
• Enjoy generous paid time off to support your work-life balance plus 9 ½ paid holidays
• Up to 6 weeks of parental and bonding leave
• Hybrid work schedule (3 days in the office, 2 days from home)
• Longevity awards (every 5 years of employment, receive a generous monetary award to be used toward a vacation)
• Tuition reimbursement after 6 months of employment
• Numerous opportunities for continued training and career advancement
• And much more!

Responsibilities

As a Data Analyst on our energetic team, your role is pivotal in converting raw data into meaningful insights, directly influencing our strategic decisions. Your day-to-day responsibilities involve engaging with diverse departments, gaining a deep understanding of their specific data requirements. This isn't just about crunching numbers; it's about crafting narratives from data that align with our goal to be the go-to choice for our agents. We're committed to offering a broad spectrum of property and casualty insurance solutions, a commitment backed by the financial robustness and ethical business practices of the Berkshire Hathaway Group.

Key Responsibilities:

• Assist data product owners in defining and refining requirements for new data products.
• Translate business needs into technical specifications for data products, ensuring they deliver meaningful insights and value.
• Provide expertise in data analysis and visualization to enhance the functionality and impact of data products.
• Manage and curate metadata to ensure that data is easily accessible, understandable, and usable for analysis.
• Implement metadata standards and best practices to enhance data discoverability and usability.
• Work with data governance teams to ensure metadata aligns with data quality, privacy, and compliance standards.
• Develop and maintain comprehensive source-to-target mappings for data integration projects.
• Ensure accurate translation of data from source systems to target databases, aligning with business logic and requirements.
• Assist in data product design and develop data products that provide actionable insights, supporting strategic decision-making across the business.
• Create documentation and guides for data sets and data products, making them accessible and understandable to a wide range of users.
• Conduct training sessions and workshops to enhance data literacy across the organization.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Minimum of 2 years of experience in data analysis, preferably in the property and casualty insurance industry.
• Proficiency in data analysis tools such as SQL, Metadata Management, Python, R, and BI tools like Tableau or Power BI.
• Strong understanding of statistical analysis, predictive modeling, and data mining techniques.
• Excellent communication skills with the ability to translate complex data into actionable insights.