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Full Time
Banking
$86k-113k (estimate)
05/17/2024
11/12/2024
emprisebank.com
DERBY, KS
500 - 1,000
1910
NEIL DICKSON
$50M - $200M
Banking
The history of Emprise Bank began in 1910 with the formation of Stockyards National Bank. By setting a higher standard of service for Wichitas banking customers, the Bank was destined for success from its very first transaction. In 1965, the Michaelis family acquired Stockyards National Bank, which changed its name to United American Bank & Trust in the early 1970s. Over the next 25 years, the Michaelis family acquired banks and opened locations in communities across Kansas including Council Grove, Eureka, Hays, Hillsboro, Iola, Moran, Potwin, and Toronto. They also acquired the National Bank ...of Wichita and Wichita State Bank. In 1989, the three Wichita banks merged under the name of Emprise Bank. In the early 1990s, Emprise expanded into the Lawrence community. Later that decade, Emprise acquired Wichita Federal Savings & Loan, which increased the Wichita banks market share and doubled its asset size. But Emprise wasnt done growing yet; there were still more people in more places needing to be served. The early 2000s brought continued growth for Emprise with additional locations in Chanute, El Dorado, Humboldt, and Lawrence. In addition, the community banks were all merged under one Emprise Bank charter. Combining the charters created one bank and one way to do business. Then, in November 2006, Emprise Bank acquired Prairie State Bank, adding eleven branches to the Emprise network and increasing the number of employees to nearly 500. Through the merger, Emprise Bank reached $1 billion in total assets. Today, the Emprise Bank system includes over 40 locations in more than 20 communities across the state. With a commitment to community growth and a dynamic leadership team, Emprise Bank will continue to be the premier community bank where customer relationships still have value.
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The following is the career advancement route for Data Analyst - Wichita, KS (Hybrid schedule eligible) positions, which can be used as a reference in future career path planning. As a Data Analyst - Wichita, KS (Hybrid schedule eligible), 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 - Wichita, KS (Hybrid schedule eligible). You can explore the career advancement for a Data Analyst - Wichita, KS (Hybrid schedule eligible) 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.