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

Ais Data Analyst Interview Guide

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


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

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

Overview

Ais 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.

Ais 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

Ais Data Analyst Interview Questions

If you're seeking a sense of community and the ability for growth, look no further. Since 1982, we have been 100% dedicated to our people. Our approach permits greater ownership for individuals and welcomes input into decisions for a thriving workplace and happy employees. Our people are the core reason for AIS' success. As an employee owned company, we are looking for individuals that are passionate about finding innovative solutions, and excited about emerging technologies and capabilities. Intro As a Data Engineer, you will use cutting-edge cloud and data technologies to help global brands and federal agencies solve challenging problems through innovative technology solutions. Work on exciting projects, future-proof your skills, and grow into your dream job alongside some of the most talented, knowledgeable, and dedicated technologists in the industry. What You'll Be Doing <ul><li>Work in a team using cutting edge technologies to solve challenging business problems and build solutions</li><li>Apply your skills in Azure PaaS, data science, data analytics, and data warehousing to pioneer Azure cloud, and data services</li><li>Interact directly with our client(s) to understand their needs and meet, or exceed their expectations by meeting delivery deadlines</li></ul> Profile of Success <ul><li>Proven data migration and ETL development experience with multiple, large-scale data migration projects</li><li>Strong proficiency in Ab Initio, SQL and scripting languages like Python or Shell,</li><li>Vast experience in data warehousing concepts and ETL processes,</li><li>Familiarity with cloud platforms</li><li>Understanding of data governance and data quality best practices</li><li>Multiple certifications including advanced engineering certifications in the following areas: SnowPro Core/Advanced Certification (Data Engineer), DB2 Fundamentals LUW, Microsoft Certified: Azure Data Engineer Associate, Collibra Ranger Certification (Data Governance), Ab Initio - Certified Data Integration Developer, Certified Data Warehouse Developer, Databricks Certified Associate Developer for Apache Spark/Cloudera Spark and Hadoop Developer Certification, dbt Fundamentals</li></ul> Desirable Skills <ul><li>Experience with Databricks cluster management.</li><li>Background with Data Science tools such as R, Python, and SAS is a plus</li><li>Experience with visualization tools such as Power BI or Tableau</li><li>Desire to obtain or utilize relevant technical certifications as part of continuous professional growth</li></ul> Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law. Employment decisions are based solely on qualifications, merit, and business need.

If you're seeking a sense of community and the ability for growth, look no further. Since 1982, we have been 100% dedicated to our people. Our approach permits greater ownership for individuals and welcomes input into decisions for a thriving workplace and happy employees. Our people are the core reason for AIS' success. As an employee owned company, we are looking for individuals that are passionate about finding innovative solutions, and excited about emerging technologies and capabilities. As a Data Migration - Senior Data Engineer, you will use cutting-edge cloud and data technologies to help global brands and federal agencies solve challenging problems through innovative technology solutions. Work on exciting projects, future-proof your skills, and grow into your dream job alongside some of the most talented, knowledgeable, and dedicated technologists in the industry. What You'll Be Doing <ul><li>Work in a team using cutting edge technologies to solve challenging business problems and build solutions</li><li>Apply your skills in Azure PaaS, data science, data analytics, and data warehousing to pioneer Azure cloud, and data services</li><li>Interact directly with our client(s) to understand their needs and meet, or exceed their expectations by meeting delivery deadlines</li></ul> Profile of Success <ul><li>Proven data migration and ETL development experience with multiple, large-scale data migration projects</li><li>Strong proficiency in Ab Initio, SQL and scripting languages like Python or Shell,</li><li>Vast experience in data warehousing concepts and ETL processes,</li><li>Familiarity with cloud platforms</li><li>Understanding of data governance and data quality best practices</li><li>Multiple certifications including advanced engineering certifications in the following areas: SnowPro Core/Advanced Certification (Data Engineer), DB2 Fundamentals LUW, Microsoft Certified: Azure Data Engineer Associate, Collibra Ranger Certification (Data Governance), Ab Initio - Certified Data Integration Developer, Certified Data Warehouse Developer, Databricks Certified Associate Developer for Apache Spark/Cloudera Spark and Hadoop Developer Certification, dbt Fundamentals</li></ul> Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law. Employment decisions are based solely on qualifications, merit, and business need.

If you're seeking a sense of community and the ability for growth, look no further. Since 1982, we have been 100% dedicated to our people. Our approach permits greater ownership for individuals and welcomes input into decisions for a thriving workplace and happy employees. Our people are the core reason for AIS' success. As an employee owned company, we are looking for individuals that are passionate about finding innovative solutions, and excited about emerging technologies and capabilities. Introduction As a Data Architect, you will use cutting-edge cloud and data technologies to help global brands and federal agencies solve challenging problems through innovative technology solutions. Work on exciting projects, future-proof your skills, and grow into your dream job alongside some of the industry's most talented, knowledgeable, and dedicated technologists. What You'll Be Doing <ul><li>Work in a team with other smart AIS employees and use cutting-edge technologies to solve challenging enterprise problems.</li><li>Design data platform solutions using Azure data services such as Data Factory, Azure Event Hub, Azure Synapse Analytics, and Azure Databricks.</li><li>Design scalable data processing and analytics solutions, including Big data storage for various data types and large-scale data processing using Databricks.</li><li>Apply your skills in Azure Cognitive Services, Azure P,aaS, and Machine Learning services.</li><li>Use experience working with Azure Data & Storage, Azure Analytics & Azure IoT tools, and the traditional Microsoft BI Stack.</li><li>Provide mentorship to more junior consultants.</li></ul> Location and Travel Details This is a remote position with occasional travel once (if needed). Security Clearance and Citizenship Requirements Must be able to obtain and/or maintain Secret Clearance. Required For This Opportunity <ul><li>Minimum ten years of relational data background.</li><li>Minimum five years of data architecture experience.</li><li>Expert with Azure cloud computing, including big data technologies.</li><li>Proven experience developing Big Data solutions in the Azure space</li><li>Extensive experience with Azure Data services (Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Data Lake Analytics, HDInsight, Machine Learning, and Stream Analytics).</li><li>Expert in both traditional and modern data architecture and processing concepts, including relational databases, Data warehousing, big data, NoSQL, and business analytics.</li><li>Hands-on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services.</li><li>Proven ability to work in a client-facing role, understand requirements and envision solutions.</li></ul> Nice to Have Skills <ul><li>Experience with Azure cloud computing, including big data technologies such as Azure Databricks cluster management.</li><li>Background with Data Science tools such as R, Python, and SAS is a plus.</li><li>Experience with visualization tools such as Power BI or Tableau.</li><li>Desire to obtain or utilize relevant technical certifications as part of continuous professional growth.</li></ul> Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law. Employment decisions are based solely on qualifications, merit, and business need.

Ais Data Analyst Interview Guide

Overview

Ais Data Analyst Salary

Ais Data Analyst Interview Process

Ais Data Analyst Interview Questions

Ais Data Analyst Jobs