Principal Business Data Analyst

---

Job description

Company Details:

"Our Company provides a state of predictability which allows brokers and agents to act with confidence."

Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.

Along the way, we've been listed on the New York Stock Exchange, seen our revenue soar well past $7 billion, and become a well-respected Fortune 500 Company.

Today, the Berkley brand comprises 53 Berkley companies worldwide. Still managed by our Executive Chairman, founder and largest shareholder, W. R. Berkley Corporation is well-positioned to respond to opportunities for future growth.

In April 2017, W. R. Berkley Corporation celebrated the 50th anniversary of its founding.

Responsibilities:
We are seeking a Principal Business Data Analyst who will be a part of a team that's building data and analytical tools and frameworks to exploit advantages from the latest developments in technology, data engineering, and data science. As a WRBC Principal Business Data Analyst you'll have the opportunity to be on the forefront of driving a major transformation within our diverse portfolio of insurance companies in the US and internationally.

Primary Duties & Responsibilities:

Collaborate with and across business and technical teams to design, develop, test, and implement data and analytic solutions that enhance our underwriting, claims, and operational processes through the application of analytics, data engineering and data management.

Facilitate the refinement and execution of the roadmap and vision for information delivery and management; including the enterprise data platforms, BI & analytics, and data management.

Lead teams to deliver the solutions that fulfill the Business information needs and align with the information vision and strategy.

Apply business strategy while driving technology strategy, balancing short term and long term needs to ensure that the architecture can scale and evolve according.

Engage an end-to-end approach by connecting all the pieces of data to deliver the data while leveraging all available assets.

Provide advice, guidance, direction, and authorization to carry out major plans and procedures to ensure schedule attainment, product development process adherence, and performance and budget targets are met.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery/ data Ops.

Work with a team of subject matter experts, data scientists and data analysts to identify ways to transform operational processes, enhance data assets, and manage organizational change as we implement solutions that leverage data and analytics in new ways.

Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities.

Collaborate with insurance product managers, and deliver robust solutions that help protect millions of businesses and workers through our diverse portfolio of insurance products.

Some travel may be required. (
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

8+ years experience in applying data and analytics concepts to complex business problems, producing end to end solutions that drive measurable value

5+ years of experience working with data analytics to deliver data products that facilitate BI, analysis, and operational processes

5+ years experience participating in structured problem solving exercises (design thinking, business process mapping, customer centric design) with customer and partner stakeholders to identify pain points, develop strategies, and design solutions to business problems

3+ years experience in delivering business analysis (BI) solutions in support of operational management (metrics definition, report development, report implementation, change management)

3+ years experience working with market leading business intelligence reporting suites (Tableau, Qlik, Spotfire, Power BI)

2+ years of experience with Agile / Scrum delivery practices to help teams meet goals and drive change

2+ years working with subject matter experts, and technical teams to design, implement and support data management practices within a large or medium sized organization

Comfortable working in a dynamic and diverse business landscape with distributed teams across the U.S. and internationally.

Qualifications:
Minimum Qualifications:

Bachelor's Degree in Computer Science, Engineering, MIS or related experience.

4+ years of experience leading technically oriented project teams in complex business environments.

Demonstrated understanding of data warehouse, big data, BI & analytics, and data management.

Strong analytic skills.

Creative problem solving.

Ability to learn new skills quickly.

Experience working in cloud based data platforms including analytic platform migrations to cloud.

Preferred Qualifications:

Commercial P&C insurance knowledge.

Scrum or related certification.

Experience with Azure cloud computing platform including Data Factory and Databricks.

Additional Company Details:
We do not accept any unsolicited resumes from external recruiting agencies or firms.

The company offers a competitive compensation plan and robust benefits package for full time regular employees.

The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

Sponsorship Details:
Sponsorship not Offered for this Role

<!– job description page –>