The U-haul Data Analyst interview guide, interview questions, salary data, and interview experiences.

U-haul Data Analyst Interview Guide

Getting ready for an Data Analyst interview at U-haul? The U-haul Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for U-haul Data Analyst roles.</li>
<li>Gain insights into the Data Analyst interview process at U-haul.</li>
<li>Practice real U-haul 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 U-haul Data Analyst interview.


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

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

Overview

U-haul 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.

U-haul 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

Let’s say that you’re a data scientist at Robinhood. 

How do we measure the launch of Robinhood’s fractional shares program?

Let’s say you are a data scientist at Robinhood.

Robinhood is introducing a program to allow users to buy fractional shares of publically listed companies.

Focusing in on the activity of new users, which of the following metrics would be the LEAST important to keep track of in determining if the program added value to Robinhood’s platform for new users?

Let's say you are a data scientist at Robinhood. 



Robinhood is introducing a program to allow users to buy fractional shares of publically listed companies.



Focusing in on the activity of new users, which of the following metrics would be the LEAST important to keep track of in determining if the program added value to Robinhood's platform for new users?

Fractional Shares Metrics

Fractional Shares

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

U-haul Data Analyst Interview Questions

Location: 8162 S Priest Dr, Tempe, Arizona 85284 United States of America We are seeking a highly analytical and detail-oriented Data Analyst to join our team. The ideal candidate will excel in leveraging Excel, PowerPivot, and Power BI to analyze and visualize data, providing actionable insights to drive business decisions. This role requires a strong ability to manage data, create reports, and collaborate with stakeholders across departments. Key Responsibilities Data Analysis and Reporting <ul> <li>Collect, clean, and organize data from various sources to ensure accuracy and reliability. </li><li>Develop, maintain, and optimize Excel models, including complex formulas, pivot tables, and PowerPivot dashboards. </li><li>Design and create dynamic dashboards and reports in Power BI to visualize data insights. </li></ul>Business Insights <ul> <li>Analyze trends, patterns, and correlations in data to identify opportunities for potential sales. </li><li>Present findings in a clear and concise manner through reports and presentations. </li><li>Provide forecasting data based on trends. </li></ul>Data Management <ul> <li>Manage and maintain data repositories, ensuring security and accessibility. </li><li>Automate repetitive tasks and improve existing data processes using Excel macros, VBA, and Power Query. </li></ul>Collaboration and Communication <ul> <li>Partner with cross-functional teams to understand their data needs and provide tailored solutions. </li><li>Provide training to team members on how to use Power BI dashboards and advanced Excel functionalities. </li></ul>Continuous Improvement <ul> <li>Stay updated on the latest tools and best practices in data analysis and visualization. </li><li>Recommend process improvements to enhance data quality and reporting efficiency. </li></ul>Qualifications Education: <ul> <li>Bachelor's degree in Data Science, Business Analytics, Computer Science, or a related field. </li></ul>Experience: <ul> <li>2+ years of experience in data analysis, reporting, or a related role. </li><li>Proficient in Excel (advanced formulas, PowerPivot, Power Query, and macros). </li><li>Hands-on experience with Power BI, including DAX, data modeling, and report creation. </li></ul>Skills: <ul> <li>Strong analytical and problem-solving skills. </li><li>Excellent attention to detail and accuracy. </li><li>Ability to communicate technical findings to non-technical stakeholders. </li><li>Familiarity with databases and SQL (preferred but not required). </li></ul>U-Haul Offers: <ul> <li>Full Medical coverage </li><li>Prescription plans </li><li>Dental & Vision Plans </li><li>New indoor fitness gym </li><li>Gym Reimbursement Program </li><li>Registered Dietitian Program </li><li>Weight Watchers </li><li>Onsite medical clinic for you and your family </li><li>Career stability </li><li>Opportunities for advancement </li><li>Valuable on-the-job training </li><li>Tuition reimbursement program </li><li>Free online courses for personal and professional development at U-Haul University® </li><li>Business and travel insurance </li><li>You Matter Employee Assistance Program </li><li>Paid holidays, vacation, and sick days </li><li>Employee Stock Ownership Plan (ESOP) </li><li>401(k) Savings Plan </li><li>Life insurance </li><li>Critical Illness/Group Accident </li><li>24-hour physician available for kids </li><li>Subsidized gym/ membership </li><li>MetLaw Legal program </li><li>MetLife auto and home insurance </li><li>Mindset App Program </li><li>50%Discounts on cell phone plans, hotels, and more </li><li>LifeLock identity Theft </li><li>Savvy consumer wellness programs- from health care tips to financial wellness </li><li>Dave Ramsey's SmartDollar Program </li><li>U-Haul federal credit union </li><li>Wellness Program </li></ul> U-Haul Holding Company, and its family of companies including U-Haul International, Inc. ("U-Haul"), continually strives to create a culture of health and wellness. Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products. The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team. U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

Location: 8162 S Priest Dr, Tempe, Arizona 85284 United States of America We are seeking a highly analytical and detail-oriented Data Analyst to join our team. The ideal candidate will excel in leveraging Excel, PowerPivot, and Power BI to analyze and visualize data, providing actionable insights to drive business decisions. This role requires a strong ability to manage data, create reports, and collaborate with stakeholders across departments. Key Responsibilities Data Analysis and Reporting <ul><li>Collect, clean, and organize data from various sources to ensure accuracy and reliability.</li><li>Develop, maintain, and optimize Excel models, including complex formulas, pivot tables, and PowerPivot dashboards.</li><li>Design and create dynamic dashboards and reports in Power BI to visualize data insights.</li></ul> Business Insights <ul><li>Analyze trends, patterns, and correlations in data to identify opportunities for potential sales.</li><li>Present findings in a clear and concise manner through reports and presentations.</li><li>Provide forecasting data based on trends.</li></ul> Data Management <ul><li>Manage and maintain data repositories, ensuring security and accessibility.</li><li>Automate repetitive tasks and improve existing data processes using Excel macros, VBA, and Power Query.</li></ul> Collaboration and Communication <ul><li>Partner with cross-functional teams to understand their data needs and provide tailored solutions.</li><li>Provide training to team members on how to use Power BI dashboards and advanced Excel functionalities.</li></ul> Continuous Improvement <ul><li>Stay updated on the latest tools and best practices in data analysis and visualization.</li><li>Recommend process improvements to enhance data quality and reporting efficiency.</li></ul> Qualifications Education: <ul><li>Bachelor's degree in Data Science, Business Analytics, Computer Science, or a related field.</li></ul> Experience: <ul><li>2+ years of experience in data analysis, reporting, or a related role.</li><li>Proficient in Excel (advanced formulas, PowerPivot, Power Query, and macros).</li><li>Hands-on experience with Power BI, including DAX, data modeling, and report creation.</li></ul> Skills: <ul><li>Strong analytical and problem-solving skills.</li><li>Excellent attention to detail and accuracy.</li><li>Ability to communicate technical findings to non-technical stakeholders.</li><li>Familiarity with databases and SQL (preferred but not required).</li></ul> U-Haul Offers: <ul><li>Full Medical coverage</li><li>Prescription plans</li><li>Dental & Vision Plans</li><li>New indoor fitness gym</li><li>Gym Reimbursement Program</li><li>Registered Dietitian Program</li><li>Weight Watchers</li><li>Onsite medical clinic for you and your family</li><li>Career stability</li><li>Opportunities for advancement</li><li>Valuable on-the-job training</li><li>Tuition reimbursement program</li><li>Free online courses for personal and professional development at U-Haul University®</li><li>Business and travel insurance</li><li>You Matter Employee Assistance Program</li><li>Paid holidays, vacation, and sick days</li><li>Employee Stock Ownership Plan (ESOP)</li><li>401(k) Savings Plan</li><li>Life insurance</li><li>Critical Illness/Group Accident</li><li>24-hour physician available for kids</li><li>Subsidized gym/ membership</li><li>MetLaw Legal program</li><li>MetLife auto and home insurance</li><li>Mindset App Program</li><li>50%Discounts on cell phone plans, hotels, and more</li><li>LifeLock identity Theft</li><li>Savvy consumer wellness programs- from health care tips to financial wellness</li><li>Dave Ramsey's SmartDollar Program</li><li>U-Haul federal credit union</li><li>Wellness Program</li></ul> U-Haul Holding Company, and its family of companies including U-Haul International, Inc. ("U-Haul"), continually strives to create a culture of health and wellness. Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products. The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team. U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

Location:

8162 S Priest Dr, Tempe, Arizona 85284 United States of America

We are seeking a highly analytical and detail-oriented Data Analyst to join our team. The ideal candidate will excel in leveraging Excel, PowerPivot, and Power BI to analyze and visualize data, providing actionable insights to drive business decisions. This role requires a strong ability to manage data, create reports, and collaborate with stakeholders across departments.

Key Responsibilities

Data Analysis and Reporting

Collect, clean, and organize data from various sources to ensure accuracy and reliability.

Develop, maintain, and optimize Excel models, including complex formulas, pivot tables, and PowerPivot dashboards.

Design and create dynamic dashboards and reports in Power BI to visualize data insights.

Business Insights

Analyze trends, patterns, and correlations in data to identify opportunities for potential sales.

Present findings in a clear and concise manner through reports and presentations.

Provide forecasting data based on trends.

Data Management

Manage and maintain data repositories, ensuring security and accessibility.

Automate repetitive tasks and improve existing data processes using Excel macros, VBA, and Power Query.

Collaboration and Communication

Partner with cross-functional teams to understand their data needs and provide tailored solutions.

Provide training to team members on how to use Power BI dashboards and advanced Excel functionalities.

Continuous Improvement

Stay updated on the latest tools and best practices in data analysis and visualization.

Recommend process improvements to enhance data quality and reporting efficiency.

Qualifications

Education:

Bachelor’s degree in Data Science, Business Analytics, Computer Science, or a related field.

Experience:

2+ years of experience in data analysis, reporting, or a related role.

Proficient in Excel (advanced formulas, PowerPivot, Power Query, and macros).

Hands-on experience with Power BI, including DAX, data modeling, and report creation.

Skills:

Strong analytical and problem-solving skills.

Excellent attention to detail and accuracy.

Ability to communicate technical findings to non-technical stakeholders.

Familiarity with databases and SQL (preferred but not required).

U-Haul Offers:

Full Medical coverage

Prescription plans

Dental & Vision Plans

New indoor fitness gym

Gym Reimbursement Program

Registered Dietitian Program

Weight Watchers

Onsite medical clinic for you and your family

Career stability

Opportunities for advancement

Valuable on-the-job training

Tuition reimbursement program

Free online courses for personal and professional development at U-Haul University®

Business and travel insurance

You Matter Employee Assistance Program

Paid holidays, vacation, and sick days

Employee Stock Ownership Plan (ESOP)

401(k) Savings Plan

Life insurance

Critical Illness/Group Accident

24-hour physician available for kids

Subsidized gym/ membership

MetLaw Legal program

MetLife auto and home insurance

Mindset App Program

50%Discounts on cell phone plans, hotels, and more

LifeLock identity Theft

Savvy consumer wellness programs- from health care tips to financial wellness

Dave Ramsey’s SmartDollar Program

U-Haul federal credit union

Wellness Program

U-Haul Holding Company, and its family of companies including U-Haul International, Inc. (“U-Haul”), continually strives to create a culture of health and wellness. Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products. The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team.

U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

Location:
5051 Obama Blvd, Los Angeles, California 90016 United States of America Job Description: We are seeking a motivated and detail-oriented Data Science Analst to join our growing team. The ideal candidate is passionate about data and excited to apply their skills in solving complex problems. You will work alongside experienced data scientists and analysts to extract insights from data, build models, and contribute to the development of data-driven solutions. Key Responsibilities:
Leverage Azure Databricks for data analysis, processing, and transformation to support data-driven initiatives.
Perform exploratory data analysis (EDA) to identify trends and areas for further investigation, contributing to feature engineering as needed.
Build, maintain, and enhance data visualizations and reports that provide actionable insights to support decision-making across departments.
Collaborate closely with business teams to understand objectives, gather requirements, and create insightful dashboards and reports.
Support the design of data models to track KPIs, customer trends, and operational metrics, enhancing business performance monitoring.
Partner with senior analysts and business stakeholders to develop data-driven insights that inform strategy and decision-making.
Document analytical processes and effectively communicate findings to non-technical audiences for clarity and alignment.
Required Skills and Qualifications: Master's degree in Data Science, Statistics, Business Analytics, related field or equivalent experience.
Strong skills in data analysis using Python and SQL.
Experience or familiarity with Azure Databricks and data visualization tools (e.g., Power BI, Streamlit).
Knowledge of statistical methods and basic data science concepts.
Strong analytical thinking with a keen understanding of how data impacts business decisions.
Excellent communication skills, with the ability to translate data insights into clear, actionable reports for stakeholders.
Ability to adapt and thrive in a changing environment.
Strong drive, energy, initiative, and collaborative spirit. U-Haul Holding Company, and its family of companies including U-Haul International, Inc. ("U-Haul"), continually strives to create a culture of health and wellness. Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products. The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team. U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

Location:
5051 Obama Blvd, Los Angeles, California 90016 United States of America

Job Description:

We are seeking a motivated and detail-oriented Data Science Analst to join our growing team. The ideal candidate is passionate about data and excited to apply their skills in solving complex problems. You will work alongside experienced data scientists and analysts to extract insights from data, build models, and contribute to the development of data-driven solutions.

Key Responsibilities:
Leverage Azure Databricks for data analysis, processing, and transformation to support data-driven initiatives.
Perform exploratory data analysis (EDA) to identify trends and areas for further investigation, contributing to feature engineering as needed.
Build, maintain, and enhance data visualizations and reports that provide actionable insights to support decision-making across departments.
Collaborate closely with business teams to understand objectives, gather requirements, and create insightful dashboards and reports.
Support the design of data models to track KPIs, customer trends, and operational metrics, enhancing business performance monitoring.
Partner with senior analysts and business stakeholders to develop data-driven insights that inform strategy and decision-making.
Document analytical processes and effectively communicate findings to non-technical audiences for clarity and alignment.
Required Skills and Qualifications:     Master's degree in Data Science, Statistics, Business Analytics, related field or equivalent experience.
Strong skills in data analysis using Python and SQL.
Experience or familiarity with Azure Databricks and data visualization tools (e.g., Power BI, Streamlit).
Knowledge of statistical methods and basic data science concepts.
Strong analytical thinking with a keen understanding of how data impacts business decisions.
Excellent communication skills, with the ability to translate data insights into clear, actionable reports for stakeholders.
Ability to adapt and thrive in a changing environment.
Strong drive, energy, initiative, and collaborative spirit.

U-Haul Holding Company, and its family of companies including U-Haul International, Inc. ("U-Haul"), continually strives to create a culture of health and wellness. Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products. The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team.

U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

Location: 5051 Obama Blvd, Los Angeles, California 90016 United States of America Job Description: We are seeking a motivated and detail-oriented Data Science Analst to join our growing team. The ideal candidate is passionate about data and excited to apply their skills in solving complex problems. You will work alongside experienced data scientists and analysts to extract insights from data, build models, and contribute to the development of data-driven solutions. Key Responsibilities: <ul> <li>Leverage Azure Databricks for data analysis, processing, and transformation to support data-driven initiatives. </li><li>Perform exploratory data analysis (EDA) to identify trends and areas for further investigation, contributing to feature engineering as needed. </li><li>Build, maintain, and enhance data visualizations and reports that provide actionable insights to support decision-making across departments. </li><li>Collaborate closely with business teams to understand objectives, gather requirements, and create insightful dashboards and reports. </li><li>Support the design of data models to track KPIs, customer trends, and operational metrics, enhancing business performance monitoring. </li><li>Partner with senior analysts and business stakeholders to develop data-driven insights that inform strategy and decision-making. </li><li>Document analytical processes and effectively communicate findings to non-technical audiences for clarity and alignment. </li></ul>Required Skills and Qualifications: <ul> <li>Master's degree in Data Science, Statistics, Business Analytics, related field or equivalent experience. </li><li>Strong skills in data analysis using Python and SQL. </li><li>Experience or familiarity with Azure Databricks and data visualization tools (e.g., Power BI, Streamlit). </li><li>Knowledge of statistical methods and basic data science concepts. </li><li>Strong analytical thinking with a keen understanding of how data impacts business decisions. </li><li>Excellent communication skills, with the ability to translate data insights into clear, actionable reports for stakeholders. </li><li>Ability to adapt and thrive in a changing environment. </li><li>Strong drive, energy, initiative, and collaborative spirit. </li></ul> U-Haul Holding Company, and its family of companies including U-Haul International, Inc. ("U-Haul"), continually strives to create a culture of health and wellness. Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products. The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team. U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

Location: 5051 Obama Blvd, Los Angeles, California 90016 United States of America Job Description: We are seeking a motivated and detail-oriented Data Science Analst to join our growing team. The ideal candidate is passionate about data and excited to apply their skills in solving complex problems. You will work alongside experienced data scientists and analysts to extract insights from data, build models, and contribute to the development of data-driven solutions. Key Responsibilities: <ul><li>Leverage Azure Databricks for data analysis, processing, and transformation to support data-driven initiatives.</li><li>Perform exploratory data analysis (EDA) to identify trends and areas for further investigation, contributing to feature engineering as needed.</li><li>Build, maintain, and enhance data visualizations and reports that provide actionable insights to support decision-making across departments.</li><li>Collaborate closely with business teams to understand objectives, gather requirements, and create insightful dashboards and reports.</li><li>Support the design of data models to track KPIs, customer trends, and operational metrics, enhancing business performance monitoring.</li><li>Partner with senior analysts and business stakeholders to develop data-driven insights that inform strategy and decision-making.</li><li>Document analytical processes and effectively communicate findings to non-technical audiences for clarity and alignment.</li></ul> Required Skills and Qualifications: <ul><li>Master's degree in Data Science, Statistics, Business Analytics, related field or equivalent experience.</li><li>Strong skills in data analysis using Python and SQL.</li><li>Experience or familiarity with Azure Databricks and data visualization tools (e.g., Power BI, Streamlit).</li><li>Knowledge of statistical methods and basic data science concepts.</li><li>Strong analytical thinking with a keen understanding of how data impacts business decisions.</li><li>Excellent communication skills, with the ability to translate data insights into clear, actionable reports for stakeholders.</li><li>Ability to adapt and thrive in a changing environment.</li><li>Strong drive, energy, initiative, and collaborative spirit.</li></ul> U-Haul Holding Company, and its family of companies including U-Haul International, Inc. ("U-Haul"), continually strives to create a culture of health and wellness. Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products. The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team. U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

Role: Data AnalystLocation: Loveland, CO (Hybrid: 3 days on-site)Duration: 12 months+Compensation: up to $28/hour depending upon experience POSITION OVERVIEWWe are seeking a detail-oriented and proactive Data Analyst to join our client's team on a one-year contract. This role is critical to supporting data operations, analytics, and process improvement initiatives within the agricultural retail and manufacturing industry. The ideal candidate will possess a strong skill set in data management, analytics, and Excel, with exceptional communication abilities. KEY RESPONSIBILITIES Data Management and Operations:<ul><li>Work directly in SAP to process new and existing material data requests.</li><li>Collaborate with data requestors to troubleshoot and resolve concerns.</li><li>Maintain and update data request trackers, providing timely updates to management.</li></ul> Project Support:<ul><li>Assist leadership with mini-projects focused on data cleanup, standardization, or improvement initiatives.</li><li>Monitor and manage tasks from the ServiceNow platform and shared email inbox.</li></ul> Documentation and Communication:<ul><li>Develop and maintain standard operating procedure (SOP) documentation.</li><li>Effectively communicate with team members and stakeholders to ensure alignment on data-related tasks and projects.</li></ul> Other Duties:<ul><li>Perform other tasks as assigned to support data-driven decision-making and operational efficiency.</li></ul> REQUIRED SKILLS AND QUALIFICATIONS <ul><li>Data Management and Analytics: Demonstrated experience managing, analyzing, and interpreting large or complex data sets.</li><li>Excel Proficiency: Advanced Excel skills, including pivot tables, VLOOKUP, and working with large data sets.</li><li>Effective Communication: Ability to clearly convey complex data concepts to diverse audiences.</li><li>Business Process Documentation: Experience creating and managing process documentation.</li><li>SAP Knowledge: Familiarity with SAP for material or master data management.</li><li>ServiceNow Experience: Experience monitoring and managing tasks within ServiceNow or similar platforms.</li></ul> ----RGP is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information, veteran status, or any other legally protected trait and encourage all applicants to apply. If you are applying for a position in San Francisco, Los Angeles, or Los Angeles County, please visit the <a>RGP Notice on Fair Chance Ordinances page</a>. (https://rgp.com/fair-chance-ordinances/)

Company: Financial Services - Corporate Investment BankTitle: Financial Data Analyst Location: Chicago, ILHours: Business - Hybrid schedule Job Description:our team is dedicated to delivering data solutions to optimize our internal processes. If you are driven by the need to exceed expectations and enjoy the camaraderie of a diverse, proactive team, we want to meet you. The right relationship is everything. This role focuses on managing and maintaining our ultimate client recon list, working directly with the program team to ensure that we are only repapering clients that need to be repapered using data insights. Additionally, you will manage daily reporting to help us run the business efficiently. ***Must have strong Excel Skills (Advanced formulas) and Alteryx experience.Tableau experience is desired. Day to day: • Owning the research, creation, validation, and analysis of data to maintain the client recon list • Managing and producing daily reports to support efficient business operations • Leverage critical thinking skills to customize, streamline, and solution data needs • Managing internal expectations with a continued drive to exceed expectations • Collaborating with the program team to ensure efficient client repapering using data insights • Representing the team as the Data Analyst Specialist on your assigned projects • Owning your role and feeling empowered to escalate when support is needed to remove obstacles to success Preferred qualifications, skills, and capabilities: • Bachelor of Arts/Bachelor of Science degree • Proven ability to independently identify issues, analyze problems, and provide viable data solutions • Excellent verbal and written communication skills • Time management and organizational skills • Experience in financial services, if possible Corporate/Commercial Banking • Excellent attention to detail • Strong focus on internal collaboration and process optimization • Experience with Alteryx and advanced Excel skills Day to day you will be:<ul><li>Owning the research, creation, validation and negotiation oversight of client documentation for account opening.</li><li>Leverage critical thinking skills to customize, streamline, and solution account and documentation needs</li><li>Managing client and internal expectations with a continued drive to exceed expectations</li><li>Interacting with clients, answering client questions and working with clients to minimize documentation requirements</li><li>Representing the team as the Documentation Specialist on your assigned implementations</li><li>Collaborate with team and internal partners (Legal, Service, Sales, KYC) to deliver a seamless client onboarding experience</li><li>Owning your role and feeling empowered to escalate when support is needed to remove obstacles to success</li></ul> Preferred qualifications, skills and capabilities:<ul><li>Proven ability to independently identify issues, analyze problems and provide viable solutions</li><li>Excellent verbal and written communication skills</li><li>Time management and organizational skills</li><li>Experience in financial services, if possible Corporate/Commercial Banking</li><li>Excellent attention to detail</li><li>Strong client focus and ability to partner with various internal groups and client coverage</li></ul> Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Job Title : Data Analyst/Engineer Senior Locations:. Hybrid - Onsite in McLean, VA Tuesday through Thursday. Job Description:Must Haves: Strong understand of SDLC, Python, R, proficient in SQL, Spark, SQL, Data processing frameworks- Apache Spark, Cucumber, Bitbucket and PySpark. Notes:This is a Data Engineering role mixed with Data Analyst (No Data Science)CANDIDATES WITHOUT PYTHON EXPERIENCE WILL NOT BE CONSIDERED.This team will be working with the business area and will help with business solutions .assist with gathering requirements, and work with engineering teams to help build the data solutionsCandidates will need to have Python, SQL, any Data Framework like Apache spark, DB management and Data Lakes experience Prior fintech experience is preferred, especially in the process side (Like using Jenkins for deployments)Be able to handle some ETL work Role may require after hours prod support later on. For now, no afterhours work is needed Qualifications:• Bachelor’s degree in computer science or related discipline; advanced Studies/ Degree preferred.• 5-7 years of experience in data engineering with strong proficiency in Python programing language (Nice to have: Scala, Java).• Strong proficiency in spark SQL, SQL, gremlin, GraphQL and database management (Snowflake cloud-base warehousing).• Strong experience with data processing frameworks, DataFrames, Apache Spark, Graph DBs • Experience with cloud platform AWS (EMR, EKS, Lambda).• Experience writing statistical and/or optimization programs to develop models and algorithms.• Programming languages may include—but are not limited to—Python, R • Solid understanding of SDLC practices including development, testing, and release management.• Experience with version control systems such as Git, BitBucket • Experience with RESTful API design and development.• Familiarity with PySpark for large-scale data processing and analysis.

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