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

PACCAR Data Analyst Interview Guide

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


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

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

Overview

PACCAR 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.

Python

Machine Learning

Product Metrics

A/B Testing

Analytics

Statistics

Probability

Algorithms

PACCAR 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

What are time series models? Why do we need them when we have less complicated regression models?

What can happen if a traditional regression model is used on data that has autocorrelation?

What can happen if a traditional regression model is used on data that has autocorrelation?

Why Do We Need Time Series Models? I

Why can't standard regression models be used effectively for data points where current values are influenced by past values?

Why can't standard regression models be used effectively for data points where current values are influenced by past values?

Why Do We Need Time Series Models? II

Why Do We Need Time Series Models?

PACCAR Data Analyst Interview Questions

Company Information PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR designs and manufactures advanced diesel engines and also provides customized financial services, information technology and truck parts related to its principal business. Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services - you can develop the career you desire with PACCAR. Get started! Division Information Kenworth Truck Company is the manufacturer of The World's Best® heavy and medium duty trucks. Kenworth is an industry leader in providing fuel-saving technology solutions that help increase fuel efficiency and reduce emissions. The company's dedication to the green fleet includes aerodynamic trucks, compressed and liquefied natural gas trucks, and medium duty diesel-electric hybrids. Kenworth is the first truck manufacturer to receive the Environmental Protection Agency's Clean Air Excellence award in recognition of its environmentally friendly products. Job Functions / Responsibilities •LEAD PROJECTS THAT IMPROVE PROCESSES, REDUCE DEFECTS, AND SIMPLIFY INFORMATION FLOW TO PRODUCTION AREAS. •SYNTHESIZE DATA AND DEVELOP SYSTEMS SOLUTIONS THAT IMPROVE EFFICIENCIES AND SUPPORT QUALITY IMPROVEMENT INITIATIVES. •SUPPORT PRODUCTION GROUPS BY ANAYLYZING AND VISUALIZING DATA FOR REAL-TIME FEEDBACK. •PARTNER WITH SUPPORT AREAS TO SEAMLESSLY IMPLEMENT SOLUTIONS AND SUPPORT CONTINUOUS IMPROVEMENT INITIATIVES. •WORK CLOSELY WITH ALL PRODUCTION AREAS TO PRIORITIZE PROJECTS, COMMUNICATE STATUS UPDATES, AND IMPLEMENT IMPROVEMENTS. •COMMUNICATE PROJECT UPDATES TO UPPER MANAGEMENT ON A REGULAR BASIS. •COLLABORATE WITH ALL LEVELS OF THE ORGANIZATION, COMBINING IDEAS AND INPUT INTO EFFECTIVE SOLUTIONS. •COMPLETES OTHER DUTIES AS ASSIGNED. Qualifications REQUIRED QUALIFICATIONS: •BACHELOR'S DEGREE IS REQUIRED. •DEMONSTRATED ABILITY IN MICROSOFT OFFICE SUITE (EXCEL, WORD, POWERPOINT). •DEMONSTRATED ABILITY WITH VISUALIZATION TOOLS SUCH AS TABLEAU OR POWER BI. •DEMONSTRATED QUERY SKILLS USING SQL SERVER MANAGEMENT STUDIO. •ABILITY TO MANAGE PRIORITIES EFFICIENTLY IN A FAST-PACED ENVIRONMENT. •OUTSTANDING WRITTEN AND ORAL COMMUNICATION SKILLS. •DEMONSTRATED PROBLEM-SOLVING SKILLS. •EXCELLENT CHANGE MANAGEMENT SKILLS. •STRONG ANALYTICAL SKILLS, DETAIL-ORIENTED, AND THOROUGH PROJECT EXECUTION. •SELF-STARTER THAT ACHIEVES RESULTS ALONE, WITH MINIMAL SUPERVISION, OR WITH A TEAM. •MUST BE ABLE TO COMPLETE TASKS WITH OR WITHOUT REASONABLE ACCOMMODATION. PREFERRED QUALIFICATIONS: •DEMONSTRATED ADVANCED SKILLS WITH EXCEL AND CREATING MACROS. •PROFICIENT IN STATISTIAL PROGRAMMING LANGUAGES SUCH AS R, PYTHON, ETC. •PROFICIENT IN MACHINE LEARNING AND DATA WAREHOUSING. •PROFICIENT IN LOW CODE SOFTWARE SUCH AS POWER APPS OR OUTSYSTEMS. •DEMONSTRATED USE OF USING STATISTICS TO APPLY TO BUSINESS PROBLEMS. Education BACHELOR'S DEGREE IS REQUIRED. Additional Job Board Information PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability.

PACCAR Data Analyst Interview Guide

Overview

PACCAR Data Analyst Salary

PACCAR Data Analyst Interview Process

PACCAR Data Analyst Interview Questions

PACCAR Data Analyst Jobs