Data Analyst

Job Locations US-PA-Wilkes Barre | US-PA-Philadelphia | US-NJ-Parsippany | US-NY-New York
Job ID
2024-5077
# of Openings
4
Category
Business Analytics
Company
Berkshire Hathaway GUARD Insurance Companies

Overview

Data Analyst

Berkshire Hathaway GUARD offers a collaborative company culture with outstanding benefits and competitive compensation. Our organization hiring and we’re looking for talented individuals to join our team and establish a rewarding career with us.

Our success is founded on our strong reputation, and we have received an A+ “Superior” grade by the leading independent insurance rating organization. Backed by our ultimate parent company, Berkshire Hathaway Inc., our brand is founded upon trust, service, and innovation. If you’re looking for an employer with integrity and flexibility, keep reading to learn about our benefits and job openings.

Benefits:

  • Work life balance schedule
  • Hybrid work schedule: Three days in the office, two days from home
  • Generous vacation and sick time
  • Closed on all major holidays
  • Healthcare benefits begin on your first day of employment
  • 401K with company match and profit sharing
  • Every 5 years employees receive a generous monetary award to be used toward a vacation!
  • Tuition reimbursement after six months of employment
  • Discover opportunities to advance your career
  • Be part of Berkshire Hathaway Inc., one of the world’s most admired companies

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.
  • Salary Range

    $75,000.00-$145,000.00 USD 

    The annual base salary range posted represents a broad range of salaries around the U.S. and is subject to many factors including but not limited to credentials, education, experience, geographic location, job responsibilities, performance, skills and/or training.

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.

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