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

Circle K Data Analyst Interview Guide

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


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

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

Overview

Circle K 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

Circle K 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

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?

Circle K Data Analyst Interview Questions

Description:Our client has an immediate need for a Data Expert, who will be responsible for coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems Requirements:<ul><li>Bachelor’s degree in Engineering, Information Technology, Computer Science or a related field</li><li>6 + years of experience </li><li>Experience with writing complex SQL</li><li>Experience with Oracle</li><li>Experience with Teradata</li><li>Experience with MongoDB is plus </li></ul>Responsibilities: <ul><li>Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards. Develops strategies for data implementation, data acquisition, and archive recovery</li><li>Helps advise business, applications and operations counterparts to ensure data integrity and availability</li><li>Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units</li><li>Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses. Resolves data integration and security issues for adherence to the organization's quality standards</li><li>Researches customers' needs, conducts awareness and promotional sessions for potential customers</li></ul>Why Work for ConsultUSA:<ul><li>ConsultUSA offers competitive salaries, major medical (PPO or HDHP w/ HSA), dental, and vision insurance plans, and 401k plan with immediate eligibility for both salary and hourly employees</li><li>ConsultUSA hosts several outings and events, holiday and summer parties, and volunteer opportunities throughout the year for employees</li><li>We will work with you to obtain training for in-demand technologies and prepare you for industry-recognized certification exams</li><li>ConsultUSA offers Business Analysis and Project Management training through our Project Management Institute (PMI)® award-winning sister company, PMCentersUSA</li></ul>How to Apply:To submit your application, please click the “Apply Now” button located at the top and bottom of the page.ConsultUSA is committed to providing equal employment opportunities (EEO) to all qualified employees and applicants for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, genetic information, marital status, pregnancy, ancestry, or status as a covered veteran as well as any other prohibited criteria under any applicable federal, state, and local laws applicable to ConsultUSA.For a complete listing of all ConsultUSA jobs please visit <a>www.consultusa.com</a>

Senior Data Solutions AnalystHybrid, from Columbus, OH - work schedule will be discussed with candidateContract Role: 1 Year, likely extension Our client is seeking a talented and results-oriented Data Solutions Consultant. In this role, you will play a pivotal role in driving data-driven decision-making by implementing data governance and data analytics solutions. Qualifications:<ul><li>Bachelor's degree in Data Science, Statistics, Information Technology, or a related field.</li><li>Minimum 10 years of experience in data analytics, data governance, or a similar role.</li><li>Proficiency in SQL and data manipulation tools.</li><li>Proven experience in implementing data governance frameworks.</li><li>Experience with data visualization tools and techniques.</li><li>Working knowledge of data warehousing and data modeling concepts.</li><li>Strong hands-on experience in project management.</li><li>Strong communication skills to effectively convey materials, decisions, and concepts to both technical and non-technical stakeholders.</li><li>Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.</li><li>Excellent communication and collaboration skills to work effectively with teams across all levels of the organization.</li></ul> Responsibilities:<ul><li>Assist the Chief Data Officer and Data Manager in overseeing the development of database structures, conducting data lifecycle analysis, data extraction, and data mining, and utilizing these insights in both traditional extracts and advanced data visualization tools.</li><li>Assist in the implementation of the data strategy, focusing on the execution of data governance frameworks and processes. </li><li>Work closely with cross-functional teams to identify and define data requirements critical for informed decision-making by engaging with various stakeholders to ensure seamless data exchange and integration with system platform.</li><li>Develop and implement a data quality monitoring strategy to proactively identify, assess, and remediate data inconsistencies and errors across the data ecosystem.</li><li>Create guidelines and standards to ensure data quality, security, and compliance.</li></ul>

GlobalSource IT is a global provider of ERP recruiting focused on helping our clients achieve their goals by delivering unique, qualified talent for contract and direct-hire positions. One of our top clients is seeking a Senior Data Analyst. This is a remote position supporting their D365 environment, with the primary focus being data migration while not comprising the functional activites such as sales orders and financial data. Our client offers remote work in additional to excellent benefits. Consider learning more this role and client's D365 journey by applying or contacting Dave at daves@globalsourceit.com. Thanks for reviewing! SUMMARY The Sr Data Analyst will be responsible for implementing data migration strategy as well as maintaining and managing data for ERPs/CRM systems as requested by the business either via scripts, tools, or other programs. This position is responsible for migrating legacy data to AX 2012 R3/D365(F&O and CE) using SSIS/ADF framework and DXIF. In this role, you will design and implement a migration framework or enhance the existing data migration framework developed by the Signode data team. This role will interact with users, collect daily data maintenance requirements, and create technical solutions. This role will be very hands-on and requires detailed knowledge of the data import export framework in AX 2012/D365 and functional expertise in different AX modules like finance, inventory, sales and order management, and manufacturing. This position will report to the Data and Integration Manager and work with the global team. Qualifications/Skills: Bachelor’s or Master’s Degree in Information Systems, Information Technology, Computer Science or Engineering, or equivalent8+ years of information technology experience7+ years of demonstrated experience implementing ERP, including at least two full life cycle implementations in a Data Analyst role5+ years of AX 2012/D365 experience5+ years of DIXF, SQL, and SSIS experience2+ years of experience using X++ coding2+ years of data entities and Azure data factory experience3+ years of experience using Atlas and writing templates for data uploads and reportingExpert knowledge of the data migration framework of AX and D365 F&O/CEExperience in legacy data migration to AX/D365 F&OExperience in creating data validation tools, templates, and documentationExperience with reporting tools like Management reports, Business documents, Power BIExperience with ETL in SQL, MS Data Factory, Synapse Pipelines, Store Procedures, Boomi, etc.Experience with integration tools to move data like Boomi, AISD365 F&O data migration experience is preferredMDM experience preferredExperience with Azure Synapse, Data Lakes, Data Warehouse, SQL Server, Data Bricks, etc. Key Responsibilities Contributing to defining data migration strategy and data load planDesign and development of SSIS/ADF packages to extract data from legacy systemsCreating data extract templates and reviewing the data migration requirements with the source system and business teamsCreate SQL queries as needed per requirementDevelop data import export tool (DIXF) and AX development using X++Use functional experience to validate the migrated data in AX/D365Create templates using ATLAS to load/update data in different systemsData validation of migrated data between legacy and target systemCreating functional and technical specificationsDocument business processes, data migration methodologies, data quality enhancements, validations, and reconciliation processesWork with the Master data management team to define and maintain master data across multiple ERPsCreate data integrations between different systems using middleware like Boomi, AIS etc.

Circle K Data Analyst Interview Guide

Overview

Circle K Data Analyst Salary

Circle K Data Analyst Interview Process

Circle K Data Analyst Interview Questions

Circle K Data Analyst Jobs