The Busey Data Analyst interview guide, interview questions, salary data, and interview experiences.

Busey Data Analyst Interview Guide

Getting ready for an Data Analyst interview at Busey? The Busey Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Busey Data Analyst roles.</li>
<li>Gain insights into the Data Analyst interview process at Busey.</li>
<li>Practice real Busey Data Analyst interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Busey Data Analyst interview.


Getting ready for an Data Analyst interview at Busey? The Busey Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Busey Data Analyst roles.
- Gain insights into the Data Analyst interview process at Busey.
- Practice real Busey Data Analyst interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Busey Data Analyst interview.
        

Overview

Busey Data Analyst Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Busey Data Analyst Interview Process

As part of the financial management in a large corporation, the CFO wants to review the expenses in all departments for the previous financial year (2022).

Write a SQL query to calculate the total expenditure for each department in 2022. Additionally, for comparison purposes, return the average expense across all departments in 2022.

Note: The output should include the department name, the total expense, and the average expense (rounded to 2 decimal places). The data should be sorted in descending order by total expenditure.

<h3>Example:</h3>

Input:

<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>name</td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
<code>expenses</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>department_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>amount</td>
<td>FLOAT</td>
</tr>

<tr>
<td>date</td>
<td>DATE</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>department_name</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>total_expense</td>
<td>FLOAT</td>
</tr>

<tr>
<td>average_expense</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>

Calculate total and average expenses for each department.

Department Expenses

The probability that it will rain tomorrow is dependent on whether or not it is raining today and whether or not it rained yesterday.

If it rained yesterday and today, there is a 20% chance it will rain tomorrow. If it rained one of the days, there is a 60% chance it will rain tomorrow. If it rained neither today nor yesterday, there is a 20% chance it will rain tomorrow.

Given that it is raining today and that it rained yesterday, write a function <code>rain_days</code> to calculate the probability that it will rain on the nth day after today.

Example:

Input:

<pre tabindex="0" class="chroma"><code>n=5
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def rain_days(n) -&gt; 0.39968
</code></pre>

Given that it is raining today and that it rained yesterday, write a function to calculate the probability that it will rain on the nth day after today.

Rain in N Days

You’re given two dataframes. One contains information about addresses and the other contains relationships between various cities and states:

Example:

<code>df_addresses</code>

<table>
<thead>
<tr>
<th>address</th>
</tr>
</thead>

<tbody>
<tr>
<td>4860 Sunset Boulevard, San Francisco, 94105</td>
</tr>

<tr>
<td>3055 Paradise Lane, Salt Lake City, 84103</td>
</tr>

<tr>
<td>682 Main Street, Detroit, 48204</td>
</tr>

<tr>
<td>9001 Cascade Road, Kansas City, 64102</td>
</tr>

<tr>
<td>5853 Leon Street, Tampa, 33605</td>
</tr>
</tbody>
</table>
<code>df_cities</code>

<table>
<thead>
<tr>
<th>city</th>
<th>state</th>
</tr>
</thead>

<tbody>
<tr>
<td>Salt Lake City</td>
<td>Utah</td>
</tr>

<tr>
<td>Kansas City</td>
<td>Missouri</td>
</tr>

<tr>
<td>Detroit</td>
<td>Michigan</td>
</tr>

<tr>
<td>Tampa</td>
<td>Florida</td>
</tr>

<tr>
<td>San Francisco</td>
<td>California</td>
</tr>
</tbody>
</table>
Write a function <code>complete_address</code> to create a single dataframe with complete addresses in the format of street, city, state, zip code.

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

addresses = {&#34;address&#34;: [&#34;4860 Sunset Boulevard, San Francisco, 94105&#34;, &#34;3055 Paradise Lane, Salt Lake City, 84103&#34;, &#34;682 Main Street, Detroit, 48204&#34;, &#34;9001 Cascade Road, Kansas City, 64102&#34;, &#34;5853 Leon Street, Tampa, 33605&#34;]}

cities = {&#34;city&#34;: [&#34;Salt Lake City&#34;, &#34;Kansas City&#34;, &#34;Detroit&#34;, &#34;Tampa&#34;, &#34;San Francisco&#34;], &#34;state&#34;: [&#34;Utah&#34;, &#34;Missouri&#34;, &#34;Michigan&#34;, &#34;Florida&#34;, &#34;California&#34;]}

df_addresses = pd.DataFrame(addresses)
df_cities = pd.DataFrame(cities)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def complete_address(df_addresses,df_cities) -&gt;
</code></pre>

<table>
<thead>
<tr>
<th>address</th>
</tr>
</thead>

<tbody>
<tr>
<td>4860 Sunset Boulevard, San Francisco, California, 94105</td>
</tr>

<tr>
<td>3055 Paradise Lane, Salt Lake City, Utah, 84103</td>
</tr>

<tr>
<td>682 Main Street, Detroit, Michigan, 48204</td>
</tr>

<tr>
<td>9001 Cascade Road, Kansas City, Missouri, 64102</td>
</tr>

<tr>
<td>5853 Leon Street, Tampa, Florida, 33605</td>
</tr>
</tbody>
</table>

Write a function to create a single dataframe with complete addresses in the format of street, city, state, zip code.

Complete Addresses

Busey Data Analyst Interview Questions

<h3>Job Description</h3><div>Job Description<div>Economic Trade Data Analyst - DOC BIS (Hybrid - TS/SCI required)Location: Washington, D.C. BluePath Labs is a fast-growing research and consulting company committed to solving complex problems for federal, state, and local government clients. We offer a range of professional, scientific, and technology services. Our specific areas of expertise include business consulting, research and data science, and technology integration.We are actively seeking an experienced Economic Trade Data Analyst to support the U.S. Department of Commerce's (DOC's) Bureau of Industry and Security (BIS) in efforts to advance national security, foreign policy, and economic interests.This role will report in person to the Department of Commerce, Herbert C. Hoover Building (HCHB), Washington, DC 20230 two to three days per week.Work Description:The Bureau of Industry and Security (BIS) develops export control policies, issues export licenses, and prosecutes violators to heighten the nation's economic prosperity. Additionally, BIS develops and implements policies and programs that ensure a strong, technologically superior defense industrial base. The objective of this project is to enhance the Office of Technology Evaluation's ability to conduct technical analysis, research, data analytics, data visualization, and technical support for the BIS Export Administration (EA).In support of this program, the Economic Trade Data Analyst will provide advanced data analysis and integration support for the BIS Export Administration.Responsibilities: The Economic Trade Data Analyst will work on a project delivery team, and support all task activities and project deliverables, such as:<ul><li>Conduct qualitative and quantitative analyses of export policies and national security controls, U.S. industry's economic/regulatory concerns, and any impact to the Export Control Reform Act.</li><li>Develop and apply operations research / statistical / mathematical / artificial intelligence / machine learning methodologies and techniques to analyze the effects of export controls</li><li>Writing SQL codes and using analytic tools to produce data analyses and visualizations for various audiences including Senior executives and external stakeholders </li><li>Review export and reexport transactions to identify noncompliance from foreign intermediaries and end users through a variety of data sources.</li><li>Support consultation with Allies/partner countries and outreach to industry.</li><li>Gather and analyze data from public, commercial, and government sources to assess effectiveness of licensing system and multilateral partnerships.</li><li>Analyze and assist the evaluation of the capabilities, effectiveness, feasibility, and costs of proposed alternative export policies.</li><li>Perform advanced supply chain analysis on domestic and international supply chains on a variety of industries, technologies, and product categories. Provide technical assistance regarding parametric and analytical supply chain analysis related to commodities and technologies of concern to the Department of Commerce.</li><li>Apply advanced statistical and quantitative evaluation methods to develop and or recommend courses of action, management methodologies, and action implementation plans in directed recurring studies.</li><li>Support and advise on implementation of collaborative knowledge management systems, (i.e., SharePoint, SQL, data management)</li></ul>Minimum Requirements: <ul><li>U.S. Citizenship</li><li>Bachelor's Degree in Economics, Statistics, Mathematics, International Relations, Public Policy, Social Sciences, or other relevant field</li><li>6+ years of relevant trade data analysis and project management experience</li><li>Ability to understand data structures and write SQL queries and analyze/present results</li><li>Proficient with data preparation and visualization tools such as PowerBI, Alteryx, Snowflake</li><li>TS/SCI Clearance</li></ul>Preferred Qualifications: <ul><li>Working knowledge of data science programming in Python</li><li>Experience with Palentir platform to include Foundry</li><li>Understanding of common data science toolkits</li><li>Independent problem-solving</li><li>Strong writing and editing skills</li><li>Willingness to learn</li><li>Ability to collaborate and work effectively remotely and in-person</li></ul> Benefits:BluePath Labs offers a comprehensive benefits package. Benefits include, but are not limited to: healthcare reimbursement, lifestyle & wellness reimbursement, Flexible Spending Account (FSA), tuition assistance, 401(k) with company match, and paid time off for vacation / sick leave, in addition to 12 holidays per calendar year.About BluePathBluePath Labs combines mission and business insights with advanced technologies to deliver measurable performance improvements for our clients. BluePath is dedicated to surpassing client expectations by always living by our core values of integrity, professionalism, and resilience. BluePath's extensive experience in Government, Military, Commercial, and Academic environments is unique among small businesses and a core differentiator of our solutions. Our multidisciplinary background allows us to solve diverse and complex problems. Most importantly, we work closely with our clients to frame problems correctly, optimize processes, leverage technologies, and implement enduring solutions. Labs are where ideas are born, experiments occur, and breakthroughs happen. It is the hallmark of BluePath's culture.https://www.bluepathlabs.com/BluePath Labs is an equal opportunity employer.</div></div>

Our client, a retail chain of home improvement and agriculture stores, is seeking a Business Analyst- Financial Systems and Automation, for a 6+ month contract-to-hire position in Brentwood, TN. This role is hybrid with three days per week onsite. Day to Day:The Business Analyst - Financial Systems & Automation is a self-starter responsible for identifying opportunities to improve processes, manage large datasets, and leverage automation tools to drive efficiency. This role combines data analytics with financial systems knowledge to provide actionable insights, enhance financial processes, and support data-driven decision-making. This individual will also manage accounting systems within SAP, support system enhancements, and serve as a Blackline Administrator, ensuring effective governance of financial operations. <ul><li>Automation & Data Analytics:Utilize data analytics techniques to analyze large financial and operational datasets from SAP, Snowflake, and other systems.</li><li>Implement automation solutions to enhance productivity, reduce manual workloads, and improve reporting quality using tools like Alteryx and Power BI.</li><li>Identify opportunities to automate repetitive financial tasks and develop, maintain, and enhance financial dashboards and performance metrics.</li><li>Support & Audit:Respond to inquiries from executives and department management, providing data-backed insights.</li><li>Provide comprehensive information to Internal and External Audit functions, ensuring that all required documentation is accurate and complete.</li><li>Blackline/SAP:Serve as the primary Blackline Administrator, ensuring efficient financial close processes through system configurations, upgrades, and user training.</li><li>Support process improvement initiatives to streamline financial close activities within Blackline.</li><li>Manage accounting data within SAP (cost centers, account structure, and hierarchy) to ensure data accuracy, consistency, and compliance with corporate policies.</li><li>Assist in managing project tickets related to system enhancements, ensuring SAP changes are documented and tested.</li><li>Support SAP system upgrades, enhancements, troubleshooting, and financial data governance to ensure accurate reporting and minimize data inconsistencies.</li></ul> Must Haves:<ul><li>Minimum of 2-4 years of experience in Accounting, Financial Analysis, Accounting Analytics, or Accounting Systems.</li><li>Alteryx experience</li><li>Bachelor’s degree in Accounting, Finance, Business Analytics, Information Systems, or a related field</li></ul> Other knowledge, skills, or abilities:<ul><li>Proficiency in data analytics and financial modeling skills, with familiarity using tools like Microsoft Office (Excel, Power Automate, Power BI, etc), Snowflake, Business Objects, and Alteryx.</li><li>Basic proficiency in SAP, particularly with SAP accounting system management.</li><li>Understanding of Blackline administration, including system configuration and process automation.</li><li>Basic project management skills, with the ability to manage an initiative.</li><li>Strong communication skills to lead meetings and explain financial and data concepts to diverse stakeholders.</li><li>Self-motivated, with the ability to proactively identify issues and support teams in developing and implementing effective solutions.</li><li>Ability to establish procedures for newly developed processes.</li></ul> Nice-to-Have:<ul><li>CPA certification</li><li>RPA experience</li><li>Certification in data analytics and/or tools (e.g., Alteryx, Blackline, Power BI, SQL) is a strong plus.</li></ul> Location Requirement:<ul><li>Due to the contract nature of this position and the speed of hiring, relocation candidates will not be considered.</li><li>Only candidates currently residing within a reasonable commuting distance of Brentwood, TN will be considered.</li></ul> Please note: If you are not currently living in the area, we kindly ask that you refrain from applying. Pay Rate-$40.14- $41.57

<h3>Job Description</h3><div>Job Description<div>Overview<div>The Data Analyst plays a pivotal role in interpreting data and providing actionable insights to support business decisions. This position is vital for organizations seeking to leverage data to improve operational efficiency, enhance customer experiences, and drive strategic initiatives. The Data Analyst will work closely with various departments to analyze complex datasets, identify trends, and compile reports that drive decision-making processes. By transforming raw data into meaningful insights, the Data Analyst ensures that data-driven strategies align with organizational goals. Success in this role requires not only technical skills in data management and analysis but also effective communication and collaboration with stakeholders. Ultimately, the Data Analyst facilitates a culture of data literacy and continuous improvement across the organization.</div>Key Responsibilities<ul><li>Collect and preprocess data from various sources for analysis.</li><li>Analyze datasets to identify patterns and trends that support decision-making.</li><li>Create and maintain dashboards and reports to visualize data insights.</li><li>Work collaboratively with cross-functional teams to define data requirements.</li><li>Perform statistical analyses to validate data trends and forecasts.</li><li>Generate comprehensive reports summarizing findings and recommendations.</li><li>Utilize SQL to extract and manipulate data from databases.</li><li>Develop and maintain documentation for data processes and methodologies.</li><li>Monitor data quality and integrity, implementing improvements as necessary.</li><li>Provide training and support to staff on data usage and reporting tools.</li><li>Conduct ad-hoc analyses to explore specific business questions.</li><li>Stay updated on industry trends and advancements in data analytics.</li><li>Assist in developing data collection systems for better analytics.</li><li>Participate in meetings with stakeholders to present findings and insights.</li><li>Adhere to organizational policies regarding data security and confidentiality.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.</li><li>Minimum of 4 years of relevant work experience in data analysis or a related role.</li><li>Proficient in data visualization tools such as Tableau or Power BI.</li><li>Strong experience with SQL and database management.</li><li>Knowledge of statistical software (e.g., R, SAS, or Python).</li><li>Demonstrated ability to analyze large datasets effectively.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Ability to communicate complex data insights in a clear manner.</li><li>Familiarity with data warehousing concepts is a plus.</li><li>Experience with machine learning techniques is advantageous.</li><li>Strong organizational skills with the ability to manage multiple projects.</li><li>Understanding of data privacy regulations and compliance standards.</li><li>Capable of working independently and collaboratively in a team environment.</li><li>Proactive approach to exploring and utilizing new data technologies.</li><li>Exceptional analytical skills and a passion for data-driven solutions.</li></ul></div></div>

<h3>Job Description</h3><div>Job Description<div>Data Analyst position is on-site in the Bronx, NY Monday to Friday. Our client, a nationally renowned academic medical center and integrated healthcare delivery system, is currently hiring a Data Analyst. This role reports to the Unified Administrator, Assistant Administrator, and Director of Finance.  He/she will apply insights and a variety of analytical techniques to conceive process improvements and develop effective solutions to operational/technical issues.  The candidate will operate in a rapid environment that values an entrepreneurial mindset and an applied practical approach to execution.  This position is critical to expanding Radiology informatics capability to generate and disseminate analytics and reporting in a timely manner.  Responsibilities:<ul><li>Perform data import, export and manipulation to provide operational decision support</li><li>Develop and formalize user specification to address data export, data integrity and reporting needs</li><li>Adept at planning and prioritizing work to meet commitments aligned with organization requirement</li><li>An effective communicator, capable of determining how best to reach different audiences and executing communications based on that understanding</li><li>Perform data import, export and manipulation to provide operational decision support</li><li>Develop and formalize user specification to address data export, data integrity and reporting needs</li><li>Adept at planning and prioritizing work to meet commitments aligned with organizational requirements</li><li>An effective communicator, capable of determining how best to reach different audiences and executing communications based on that understanding</li><li>Create data visualization and dashboards from CDW and Universe environment</li></ul>Requirements: <ul><li>Bachelor’s degree and 3-7 years of relevant work experience - ideally from a healthcare environment</li><li>Strong analytical/ problem-solving skills, with the ability to grasp and synthesize findings, develop alternative solutions and clearly articulate recommended options</li><li>Excellent written, verbal and interpersonal skills</li><li>Proven ability to multi-task with demanding timeframes</li><li>Strongly preferred knowledge of programming language such as SQL</li><li>5 days on site - THIS IS NOT A REMOTE OR HYBRID ROLE</li></ul>Salary: The posted range is not a guarantee. The actual salary will be based on qualifications, experience, and education and could fall outside of this range. Contact us for more information. </div>Company Description<div>We provide full-service Healthcare Recruitment solutions. We identify, attract, engage, and connect the best possible talent with quality healthcare professionals. We build teams, provide executive recruitment solutions and discover high-performance candidates on behalf of our client partners. Our strength lies in our proven recruitment strategies, leadership in the larger healthcare community (regional and national), and networking.</div></div><h3>Company Description</h3><div>We provide full-service Healthcare Recruitment solutions. We identify, attract, engage, and connect the best possible talent with quality healthcare professionals. We build teams, provide executive recruitment solutions and discover high-performance candidates on behalf of our client partners. Our strength lies in our proven recruitment strategies, leadership in the larger healthcare community (regional and national), and networking.</div>

Busey Data Analyst Interview Guide

Overview

Busey Data Analyst Salary

Busey Data Analyst Interview Process

Busey Data Analyst Interview Questions

Busey Data Analyst Jobs