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Berkley Accident and Health is a risk management company that designs innovative solutions to address the unique challenges of each client. With our entrepreneurial culture and a strong emphasis on analytics, we can help employers better manage their risk. We offer a broad range of products, including employer stop loss, benefit captives, provider stop loss, HMO reinsurance, and specialty accident. The key to Berkley’s success is our nimble approach to risk – our ability to quickly understand, think through, and devise a plan that addresses each client’s challenges, coupled with the strong backing of a Fortune 500 company. Our parent company, W. R. Berkley Corporation, is one of the largest and best managed property/casualty insurers in the United States.
The company is an equal employment opportunity employer.
The Data Analyst will be responsible for building and maintaining our data warehouse, in addition to creating and managing business intelligence (BI) and analytics solutions that turn data into knowledge, ultimately helping an organization make better decisions. This is done by leveraging software tools to transform data into useful insights via reports, summaries, dashboards, graphs, charts, or maps. You must be able to understand and work across different types of data including databases, spreadsheets, CSV files, and text files. W.R. Berkley is a great company with great people - Come Join Us!
This role will be based in our Hamilton Square, NJ office. We offer a hybrid work schedule with 3 days in the office; and 2 days remote.
Key functions include but are not limited to:
Other
Wholesale
$66k-83k (estimate)
09/29/2022
07/01/2023
goberkley.com
BENTONVILLE, AR
50 - 100
2012
ERIC BERKLEY
<$5M
Wholesale
Founded in late 2012 with an entrepreneurial family spirit, we have grown into an experienced, exciting and fast-moving company. We have evolved from Eric and Jeff strategizing and calling potential customers in a home office, into a strategic advisor helping our customers sell more product online and in store. Our teams deep knowledge of Amazon and Retail allow us to provide strategic and scalable solutions to help your business succeed. We also design and manufacture packaging and run our own warehouse logistics operations with a national footprint. We have fun bringing your brand into the h...ands of consumers. We have the experience and expertise; we know how to successfully navigate the e-Commerce and Retail eco-systems.
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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.
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Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Analyst job description and responsibilities
A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.
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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
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Data analysts rely on various tools to collect and make sense of their data.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
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Step 3: View the best colleges and universities for Data Analyst.