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

Moat Data Analyst Interview Guide

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


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

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

Overview

Moat 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.

Moat 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

Moat Data Analyst Interview Questions

Provides advanced design and insight to help key leaders and teams at Bryan Health solve problems and make data-driven decisions. Provides tailored quantitative and data-centered support, serving as a data analytics expert and point person for their specified teams and leaders. Works on medium and complex, cross-functional business intelligence solutions, working on multiple tasks and projects as a member of the Data Analytics team. Responsible for scoping, analysis, and analytics product creation (visualizations, reports, summary insights, etc.) for their supported teams. Actively researches current and future business problems and works closely with internal staff to gain in-depth understanding of business strategy, processes, services, and the context in which the business operates. Uses advanced understanding of operations and advanced stakeholder relations to continuously elevate the analysis and business intelligence solutions. Coaches/mentors team members and is a master on providing exceptional technical skill and customer service. Engages directly with operations and consulting operations leads on business intelligence solutions and is the point-person that drives action for end-users.
PRINCIPAL JOB FUNCTIONS:
1. *Commits to the mission, vision, beliefs and consistently demonstrates our core values.
2. *Leads work stream planning processes including inception, technical design, development, testing and delivery of business intelligence solutions.
3. *Works seamlessly with internal and external customers and IT staff to develop and analyze business intelligence needs.
4. Interprets business requirements and performs analysis using a variety of quantitative methods, identifying and extracting key insights and trends.
5. Provides understanding of data, multiple database structures and their applications in the reporting environment and manages data (base) interaction with the tools they support (administer).
6. Works collaboratively with database development and other teams to ensure data models and structures are designed and architected to meet the reporting and dashboard requirements.
7. *Creates, modifies, and distributes reports displaying data (i.e., Epic Clarity and Caboodle data).
8. *Advanced knowledge in SQL and configures settings for custom SQL metrics.
9. Expert in designing enterprise-wide visualizations and custom reports for non-technical users.
10. *Expertly performs analysis for a wide range of requests using data in different formats and from various platforms (Excel, PowerPoint, Epic, Power BI, etc.).
11. *Analyzes historical data and information to monitor patterns and operational performance for departments and service lines, including cost benefit analyses when appropriate.
12. *Actively researches business problems and creates data models that help analyze these business problems.
13. *Trains users to transform data into action-oriented information and to use that information correctly.
14. Mentors others on SQL and other tools, and building and maintaining such items as: Cubes, Extracts, Self-Service reporting tools custom filters, Third-Party business intelligence tools.
15. Researches and recommends tools, frameworks and mechanisms for data analytics and information quality metrics.
16. Continually educates end-users, working to advance the organization’s use of data and business intelligence solutions.
17. May provide performance feedback of lower-level staff.
18. Maintains professional growth and development through seminars, workshops, and professional affiliations to keep abreast of latest trends in field of expertise.
19. Participates in meetings, committees, and department projects as assigned.
20. Performs other related projects and duties as assigned.
(Essential Job functions are marked with an asterisk “*”. Refer to the Job Description Guide for the definition of essential and non-essential job functions.) Attach Addendum for positions with slightly different roles or work-specific differences as needed.
ADDITIONAL JOB FUNCTIONS:
In addition to the principal job functions contained on the primary job descriptions, the following duties are also required in the department noted above.
1. *Provides tailored quantitative and data-centered support, serving as a data analytics expert and point person for nursing.
2. *Utilizes key Epic measures and to drive organizational change and quality improvements in nursing.
REQUIRED KNOWLEDGE, SKILLS AND ABILITIES:
1. Expert knowledge and experience in designing enterprise-wide visualizations and custom reports for non-technical users.
2. Significant, demonstrated history in SQL for querying and manipulating large datasets.
3. Significant, demonstrated knowledge of health care operations and common systems (i.e., quality, pharmacy, nursing, emergency department, hospital billing, etc.).
4. Knowledge of current industry standards for business intelligence development, tools, techniques, procedures, as well as data warehouse, ETL architecture, including both dimensional models (star/snowflake) and relational models.
5. Knowledge of Informatica or similar data governance and meta-data management tools helpful.
6. Significant, demonstrated skill in written and verbal communication, presentations, critical thinking and analytical thinking.
7. Skill in various Epic reporting modules as well as Reporting Workbench and Business Objects.
8. Skill in developing dashboard solutions using Power BI, Epic RADAR, Epic SlicerDicer, and other comparable tools.
9. Significant, demonstrated ability to prioritize work demands and work with minimal supervision.
10. Ability to solve real-world business problems by designing and building queries sourced from OLAP (online analytical processing) cubes, applying data mining algorithms, writing queries, and designing reports using various toolsets and a SQL Server data warehouse.
11. Ability to demonstrate extensive experience with report development using various tools (Power BI, Excel, etc.).
12. Ability to maintain confidentiality relevant to sensitive information.
13. Demonstrated ability to maintain regular and punctual attendance.
ADDITIONAL KNOWLEDGE, SKILLS & ABILITIES:
1. Background in nursing helpful.
2. Strong ability to understand and educate stakeholders on nursing metrics.
EDUCATION AND EXPERIENCE:
Bachelor’s degree in Public Health, Hospital Administration, Business, Data Analytics, Computer Science or Information Systems required. Five (5) years of experience with data management, data interpretation and analysis including writing complex queries and stored procedures with Microsoft SQL Server required. Three (3) years of experience with Epic Clarity, Caboodle, Data Model and report writing experience preferred.
OTHER CREDENTIALS / CERTIFICATIONS:
Epic certification in two or more application modules for business intelligence required within six (6) months of hire. Epic Clarity, Caboodle and Data Model certification required within six (6) months of hire.
Must have internet connectivity off-premises in order to respond to work requests when necessary.
Per leader’s discretion – If assigned to drive Bryan owned vehicles, a valid driver’s license, and verification and maintenance of responsible driving record per facility standards required
Interested in working for Bryan Health? Take the first step by joining our Talent Community today!

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<h3>Job Description</h3><div>Job Description<div>We are seeking a talented and experienced Sales Data Analyst to join our dynamic team in the building materials industry. As a Sales Data Analyst, you will play a crucial role in supporting our sales, marketing, and service teams by providing data reporting, competitive analysis, forecasting, and actionable insights to drive strategic decision-making. This role offers an exciting opportunity for a driven individual with a passion for data analysis and a desire to make a significant impact on sales and operational performance within the building materials industry. If you have the skills and experience required, we encourage you to apply and join our team!RESPONSIBILITIES:Data Analysis & Reporting<ul><li>Generate and analyze sales and operational data to identify trends, opportunities, and areas for improvement.</li><li>Develop and maintain specialized reports, including KPIs, pricing controls, and rebates.</li><li>Conduct competitive analysis to benchmark performance and inform pricing strategies</li></ul>System & Data Management<ul><li>Maintenance of statistical master data fields within the ERP system</li><li>Maintenance and support of data warehousing and business intelligence analytical application/dashboard (QlikView) </li></ul>Strategic Support<ul><li>Collaborate with cross-functional teams to forecast sales, identify market trends, and make recommendations for sales strategies and customer satisfaction.</li><li>Translate data into actionable insights and strategic recommendations to enhance sales and service performance.</li><li>Support the Sales and Customer Service Team in creating and implementing sales strategies to improve customer service and drive revenue growth.</li><li>Learn and understand the company's business model, processes, products, and customer base to provide meaningful insights and recommendations.</li><li>Other Duties as Required</li></ul>Qualifications:<ul><li>Minimum 3+ years relative experience in a B2B environment, preferably in the manufacturing/building materials industry.</li><li>Bachelor's Degree in Business, Economics, Finance or related field preferred, or equivalent work experience.</li><li>Expertise in Excel, including proficiency in creating charts, dashboards, pivot tables, and advanced formulas.</li><li>Expertise in working with BI tools, analytical dashboards; QlikView, SQL experience a plus</li><li>Strong business acumen and sales orientation with the ability to understand and interpret data</li><li>Continuous learning and willingness to learn</li><li>Strong written and verbal communication skills with the ability to present complex data in a clear and concise manner.</li><li>Ability to work with others and independently complete complex analyses, manage multiple projects and deliverables while maintaining deadlines.</li></ul>Work Arrangement:Hybrid: Office/Remote (3 in office/2 remote) - after successful completion of job trainingPhysical Requirements:<ul><li>Regularly use (and repetitive movement) of hands, wrists, and fingers to handle, control or feel objects - laptop, phone/keyboard/mouse, etc.</li><li>Regularly required to speak, hear and view multiple screens.</li><li>Regularly required to sit for long periods of time.</li></ul>Wedi Corporation is committed to providing an environment of mutual respect where equal opportunities are available to all applicants and employees without regard to race, color, religion, sex pregnancy, national origin, age, marital status, sexual orientation, gender identity, genetic information, parental status, disability, military and veteran status, and any other characteristic protected by applicable law.</div></div>

We are Echelon, a global fitness, wellness, and sports leader!
Welcome to the heartbeat of Echelon Fitness, where we're not just raising the bar; we're rewriting the entire fitness playbook. Think of us as the rebels of the fitness world—the ones who dare to blur the lines between sweat sessions and entertainment extravaganzas.
Here at Echelon, we're more than just a company; we're a movement. Picture a team of driven individuals who eat challenges for breakfast and wash them down with a protein shake. We're the tech junkies, the fitness fanatics, the creative sparks, and the unapologetic dreamers, all converging to create something truly extraordinary.
So, if you're ready to break free from the ordinary and dive headfirst into a world where fitness meets multimedia magic, you've found your tribe. Join us as we redefine what it means to break a sweat and break boundaries simultaneously. With Echelon Fitness, the future of fitness isn't just bright—it's downright exhilarating. Let's rewrite the rules together.
About the role
Location: Chattanooga, TN
Reports To: Sr. VP of Sales
About us: We are an innovative connected fitness brand making at-home, connected fitness more accessible. We offer a line of connected products – bikes, rowers, treadmills, fitness mirrors – and an app experience allowing its members to participate in live and on-demand fitness classes.
Position Overview: We are seeking a full-time dynamic Sales Analyst who also has hands-on technical skills. This position reports directly to the Sr. VP of Sales. The ideal candidate will have at least 3-5 years of sales analyst experience (experience with big box retailer data is a must), loves talking to people all day long, can make beautiful sales presentations in PowerPoint, and can also dive into the sales data and be an Excel Wizard. This role offers the opportunity to join a close-knit team and play a key role in shaping the future of Echelon Fitness.
Responsibilities:
Support the development and execution of sales strategies to drive revenue growth with various online customers.
Assist in building and maintaining strong relationships with key accounts, sales agents, manufacturing representatives, and retail partners.
Ensure excellent customer service – solving needs for retailers when they are out of stock, helping them stay in stock, and problem-solving as needed.
Collaborate with internal teams to enhance product placement, promotions, and marketing efforts.
Analyze sales data to uncover new areas of opportunity using Microsoft Excel to review data, develop insights, and present recommendations to management.
Help improve processes and systems for more efficient account management.
Grow the business through defining customer needs and meeting them.
Stay updated on consumer, competitor, and market preferences to inform sales strategies.
Assist in preparing and presenting a business plan, sales forecasts, budgets, and reports to senior management.
Qualifications:
3-5 years of experience in sales analysis and strategy, with exposure to mass channels such as Walmart and Amazon.
Analytical skills to interpret data and inform decision-making.
Ability to create professional and compelling presentations in PowerPoint, Canva, or similar tools.
Strong relationship-building skills and comfort in communicating with customers.
Passion for achieving goals and contributing to a team’s success.
Creative and innovative mindset with a positive attitude.
Ability to calculate margin, understand sales-related expenses, and associated modeling.
Significant hands-on experience in implementation and customer consulting.
Excellent communication skills with the ability to explain software product features and solutions.
Self-starter mentality with the ability to work with minimal direction.
Strongly Preferred:
Experience with Amazon’s Vendor/Seller Central and Walmart’s Retail Link platforms.
G Suite and Microsoft Office expertise, including Power BI in Microsoft Excel.

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Moat Data Analyst Interview Guide

Overview

Moat Data Analyst Salary

Moat Data Analyst Interview Process

Moat Data Analyst Interview Questions

Moat Data Analyst Jobs