What are the responsibilities and job description for the Data Analyst position at Berkshire Hathaway GUARD Insurance Companies?
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.
