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Summaryof Job Purpose and Function:
Brenntag is investing in its long-term digitalfuture with initiatives to boost our internal operations and processes. Digitalizingthe way we work and leveraging the rich data-driven insights we generate willenable us to achieve the next level of operational efficiency, growth andexcellence. To support this goal, we are hiring a Data Analyst at our Reading office to provide advanced level data analytics support for ourleadership team by creating reports, analyzing, and forecasting data toidentify organizational efficiencies.
EssentialResponsibilities and Tasks:
Full Time
Wholesale
$91k-119k (estimate)
02/21/2024
06/14/2024
brenntag.com
SOUTH PLAINFIELD, NJ
7,500 - 15,000
1874
STEVEN TERWINDT
$3B - $5B
Wholesale
Brenntag ConnectingChemistry worldwide Brenntag is the global market leader in chemicals and ingredients distribution. The company holds a central role in connecting customers and suppliers of the chemical industry. Headquartered in Essen, Germany, Brenntag has more than 17,000 employees worldwide and operates a network of more than 670 sites in 77 countries. In 2020, Brenntag generated sales of around 11.8 billion EUR. The two global divisions, Brenntag Essentials and Brenntag Specialties, provide a full-line portfolio of industrial and specialty chemicals and ingredients as well as tailor-m ...
ade application, marketing and supply chain solutions, technical and formulation support, comprehensive regulatory know-how, and digital solutions for a wide range of industries. In the field of sustainability, Brenntag pursues specific goals and is committed to sustainable solutions in its own sector and the industries served. Brenntag shares are listed at the Frankfurt Stock Exchange and are included in the MDAX and DAX 50 ESG.
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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.
If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.
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.