The Mapfre Business Intelligence interview guide, interview questions, salary data, and interview experiences.

Mapfre Business Intelligence Interview Guide

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


Getting ready for an Business Intelligence interview at Mapfre? The Mapfre Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Mapfre Business Intelligence roles.
- Gain insights into the Business Intelligence interview process at Mapfre.
- Practice real Mapfre Business Intelligence 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 Mapfre Business Intelligence interview.
        

Overview

Mapfre Business Intelligence Salary

<p>We've gathered this data from parsing thousands of interview experiences sourced from members.</p>

We've gathered this data from parsing thousands of interview experiences sourced from members.

Mapfre Business Intelligence Interview Process

<p>We’re given a table of bank transactions with three columns, <code>user_id</code>, a deposit or withdrawal value (determined if the value is positive or negative), and <code>created_at</code> time for each transaction.</p>

<p>Write a query to get the total three-day rolling average for deposits by day.</p>

<p><em>Note: Please use the format <code>&#39;%Y-%m-%d&#39;</code> for the date in the outout</em></p>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<p><code>bank_transactions</code> table</p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>transaction_value</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>dt</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>rolling_three_day</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>


Rolling Bank Transactions

<p>You’ve been asked to analyze the player’s behaviors at a gaming company.</p>

<p>Write a query to get the number of players who played between 5 and 10 games (5 and 10 excluded), and the number of players who played 10 games or more.</p>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<p><strong><code>players</code></strong> table</p>

<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>

<tr>
<td>games_played</td>
<td>INTEGER</td>
</tr>

<tr>
<td>registered_at</td>
<td>TIMESTAMP</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>players_more_than_5_to_10_games</td>
<td>INTEGER</td>
</tr>

<tr>
<td>players_10_plus_games</td>
<td>INTEGER</td>
</tr>
</tbody>
</table>


Obtain count of players based on games played.

Player Analysis

<p>What are the logistic and softmax functions? What is the difference between the two?</p>

<p>What makes them useful for use in logistic regression?</p>


<p>In logistic regression, how is the predicted class determined based on the logistic function?</p>


In logistic regression, how is the predicted class determined based on the logistic function?

Softmax vs Logistic II

<p>What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?</p>


What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?

Softmax vs Logistic I

What are the logistic and softmax functions? What is the difference between the two?

Softmax vs Logistic

Mapfre Business Intelligence Interview Questions

<b>Job Summary</b><br><br><ul> <li>Augment and maintain the existing repositories and data structures within AWS (used to process and store large amounts of data from unrelated sources)</li> <li>Experience with several formats and means for data ingestion. Including, data types (structured, semi-structured, and unstructured), and sources (on premise, and in the cloud) using the most appropriate techniques in each case</li> <li>Continue to expand and enhance the model, utilizing best practices, in regards to the organization of data and the various relationships</li> <li>Optimize existing and future models for fast and scalable queries (while maintaining performance and related price thresholds)</li> <li>Work with the team to define, construct, and maintain self-service dashboards for the Business and Advanced Analytics teams within PowerBI</li> <li>Implement scalable and flexible, high performance data pipelines for AWS to support analytics</li> <li>Develop and maintain data maps and their relationships</li> <li>Generate associated technical documentation including follow-up reports</li> <li>Work with Data Governance to implement quality rules and data governance measures (data dictionary, metadata, traceability, ...)</li> <li>Propose improvements and actions based on provided results</li> <li>Communicate results effectively with required teams</li></ul><br><br><b>Knowledge, Skills and Abilities:</b><br><br><ul> <li>Bachelor's Degree with 6+ years of experience.</li> <li>Advanced knowledge and experience using Python, Airflow, Spark, AWS, and Snowflake</li> <li>Database architectures: SQL, NoSQL, graph databases</li> <li>CI/CD and Orchestration: Jira, Jenkins, Bit Bucket, Terraform, and Airflow</li> <li>Past experience with data modeling tools, ETL tools (e.g. Informatica Power Center)</li> <li>Computer languages, data query and transformation tools: AWS Athena, Jupyter notebooks, Spark, Pyspark, Python, and EMR Studio</li> <li>Algorithm analysis (for working with our Data Scientists)</li> <li>Understanding of multidimensional modeling for quantitative and fact related data storage</li> <li>OS: Linux, and MS Windows</li> <li>Code IDE: Microsoft Visual Code, Jupyter notebooks</li> <li>Artificial intelligence, machine learning, and deep learning are a plus</li></ul>

<p>We are looking for a Data Scientist with 8 years plus experience in the insurance industry. The role is Hybrid in Boston MA or Webster MA, 3 days in the office and 2 day remote. <br> <br><b>Primary Responsibilities</b> <br></p><ul> <li>Perform tasks without appreciable direction, and exercise considerable latitude in determining objectives and approaches to assignment, collaborating with the rest of the team </li> <li>Aid the decision making process of business areas by building actionable modeling results </li> <li>Communicate project results effectively within and outside AA by developing and automating reports complex model reports, showing their alignment with the company strategy. </li> <li>Present model results and lift/efficacy analyses to senior stakeholders </li> <li>Apply knowledge to determine solutions to very complex problems with minimal direction, and use research and analysis to develop innovative and practical complex model solutions which are consistent with organizational objectives </li> <li>Conduct research around the design, implementation and validation of innovative algorithms in order to analyze diverse data sources that will enable desired business outcomes and successfully develop the use cases </li> <li>Accountable for long term ownership of models developed and evolution of those models, proposing improvements to the business areas. </li> <li>Coordinate and obtain the economic impact results with the business teams (aligned with KPIs), developing and automating reports and dashboards. </li> <li>Work with sparse, high dimensional, and time series data </li> <li>Apply predictive modeling skills & insurance solid knowledge to design & develop analytic solutions for multiple business areas reflecting corporate goals, experience and current market conditions </li> <li>Perform model validation to determine model lift and accuracy, test for reliability and stability of models, and use multiple measures to select final model, selecting the ones that can be conveyed to the stakeholders </li> <li>Design and create complex processes and tools to monitor, analyze and maintain model performance </li> <li>Provide guidance and training to less experienced staff as needed </li> <li>Provide expertise around adopting best in class processes and techniques for AA modeling and statistical analysis </li></ul> <br><br><b>Minimum Education/Experience</b> <br><ol> <li>Bachelor's Degree* with 8 years experience OR Master's Degree with 5 years relevant experience </li> <li>Degree in Statistics, Mathematics, Data Science, Economics, Finance, Engineering, or a related quantitative analytical field. </li></ol> <br><br>If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the MAPFRE Insurance Talent Acquisition team at talentacquisition@mapfreusa.com. <br><br>We are proud to be an equal opportunity employer.

We are looking for a Data Scientist with 8 years plus experience in the insurance industry. The role is Hybrid in Boston MA or Webster MA, 3 days in the office and 2 day remote. <br><br><b>Primary Responsibilities</b> <br><ul> <li>Perform tasks without appreciable direction, and exercise considerable latitude in determining objectives and approaches to assignment, collaborating with the rest of the team </li> <li>Aid the decision making process of business areas by building actionable modeling results </li> <li>Communicate project results effectively within and outside AA by developing and automating reports complex model reports, showing their alignment with the company strategy. </li> <li>Present model results and lift/efficacy analyses to senior stakeholders </li> <li>Apply knowledge to determine solutions to very complex problems with minimal direction, and use research and analysis to develop innovative and practical complex model solutions which are consistent with organizational objectives </li> <li>Conduct research around the design, implementation and validation of innovative algorithms in order to analyze diverse data sources that will enable desired business outcomes and successfully develop the use cases </li> <li>Accountable for long term ownership of models developed and evolution of those models, proposing improvements to the business areas. </li> <li>Coordinate and obtain the economic impact results with the business teams (aligned with KPIs), developing and automating reports and dashboards. </li> <li>Work with sparse, high dimensional, and time series data </li> <li>Apply predictive modeling skills & insurance solid knowledge to design & develop analytic solutions for multiple business areas reflecting corporate goals, experience and current market conditions </li> <li>Perform model validation to determine model lift and accuracy, test for reliability and stability of models, and use multiple measures to select final model, selecting the ones that can be conveyed to the stakeholders </li> <li>Design and create complex processes and tools to monitor, analyze and maintain model performance </li> <li>Provide guidance and training to less experienced staff as needed </li> <li>Provide expertise around adopting best in class processes and techniques for AA modeling and statistical analysis</li></ul><br><br><b>Minimum Education/Experience</b> <br><ol> <li>Bachelor's Degree* with 8 years experience OR Master's Degree with 5 years relevant experience </li> <li>Degree in Statistics, Mathematics, Data Science, Economics, Finance, Engineering, or a related quantitative analytical field.</li></ol><br><br>If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the MAPFRE Insurance Talent Acquisition team at talentacquisition@mapfreusa.com.<br><br>We are proud to be an equal opportunity employer.

<p>We are looking for a Data Scientist with 8 years plus experience in the insurance industry. The role is Hybrid in Boston MA or Webster MA, 3 days in the office and 2 day remote. Primary Responsibilities Perform tasks without appreciable direction, an Data Scientist, Scientist, Technology, Business, Data</p>

Mapfre Business Intelligence Interview Guide

Overview

Mapfre Business Intelligence Salary

Mapfre Business Intelligence Interview Process

Mapfre Business Intelligence Interview Questions

Mapfre Business Intelligence Jobs