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Taleo Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Taleo Interview Guides

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

The schema below is for a retail online shopping company consisting of two tables, <code>attribution</code> and <code>user_sessions</code>.

<ul>
<li>The attribution table logs a session visit for each row.</li>

<li>If <code>conversion</code> is <code>true</code>, then the user converted to buying on that session.</li>

<li>The <code>channel</code> column represents which advertising platform the user was attributed to for that specific session.</li>

<li>Lastly the <code>user_sessions</code> table maps many to one session visits back to one user.</li>
</ul>

First touch attribution is defined as the channel with which the converted user was associated when they first discovered the website.

Calculate the first touch attribution for each <code>user_id</code> that converted. 

Example:

Input:

<code>attribution</code> table

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

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

<tr>
<td><code>channel</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>conversion</code></td>
<td>BOOLEAN</td>
</tr>
</tbody>
</table>
<code>user_sessions</code> table

<table>
<thead>
<tr>
<th>column</th>
<th>type</th>
</tr>
</thead>

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

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

<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
Example output:

<table>
<thead>
<tr>
<th><code>user_id</code></th>
<th><code>channel</code></th>
</tr>
</thead>

<tbody>
<tr>
<td>123</td>
<td>facebook</td>
</tr>

<tr>
<td>145</td>
<td>google</td>
</tr>

<tr>
<td>153</td>
<td>facebook</td>
</tr>

<tr>
<td>172</td>
<td>organic</td>
</tr>

<tr>
<td>173</td>
<td>email</td>
</tr>
</tbody>
</table>

First Touch Attribution

Data Engineer (Tech Lead & Mid-Level) O nosso cliente está a reforçar a área de Data Engineering no âmbito de uma transformação tecnológica que inclui a migração de Talend para tecnologias modernas como Python, Spark e soluções de processamento de dados em tempo real. O foco está em construir plataformas de dados robustas, escaláveis e alinhadas com as necessidades de negócio. Procuramos 3 Data Engineers:<ul><li>1 Tech Lead</li><li>2 Mid-Level</li></ul> Responsabilidades<ul><li>Desenvolver e otimizar pipelines de dados (batch e streaming).</li><li>Participar na transição tecnológica para Python, Spark e Airflow.</li><li>Contribuir para o desenvolvimento e expansão do Data Warehouse.</li><li>Trabalhar com tecnologias de processamento real-time, como Flink.</li><li>Interagir com equipas internas e stakeholders para compreender requisitos e garantir entregáveis de qualidade.</li><li>(Tech Lead) Definir padrões técnicos, orientar a equipa e garantir boas práticas de engenharia.</li></ul> Requisitos Técnicos<ul><li>Experiência sólida em Python aplicada a engenharia e desenvolvimento.</li><li>Conhecimento aprofundado de Apache Spark.</li><li>Experiência com Airflow ou ferramentas de orquestração equivalentes.</li><li>Experiência com AWS (S3, EMR, Glue, Lambda ou similar).</li><li>Experiência em Data Warehousing e modelação de dados.</li><li>Valorizado: conhecimento de tecnologias de streaming como Flink.</li></ul> Soft Skills (altamente valorizadas)<ul><li>Excelentes capacidades de comunicação.</li><li>Maturidade profissional e autonomia.</li><li>Capacidade de trabalhar de forma colaborativa e com equipas multidisciplinares.</li><li>Pensamento crítico e orientação para resolução de problemas.</li><li>Facilidade em interagir com áreas de negócio e traduzir necessidades em soluções técnicas.</li></ul> Modelo de Trabalho<ul><li>Regime híbrido: 3 dias presencial + 2 dias remoto por semana.</li><li>Ter flexibilidade em ir ao escritório caso seja necessário</li><li>Localização: Porto.</li></ul> Formação<ul><li>Formação superior em Engenharia Informática, Computação, Sistemas de Informação, Matemática, ou similar.</li></ul>

Contexte : Taleo Consulting est un groupe de conseil en management présent à Luxembourg, Paris, Bruxelles, Amsterdam, Genève, Barcelone, Singapour et Lisbonne.Nos valeurs sont : Famille, Fun et Excellence et font partie intégrante de l’ADN de Taleo.Nous comptons aujourd'hui plus de 500 employés à travers nos 8 bureaux internationaux !Notre expertise financière permet d’apporter à nos clients les meilleures pratiques, des solutions sur mesure et innovantes. Nous intervenons auprès des banques, des assets managers et des assurances. La prestation se déroule au sein de la Direction Digitale Data et Innovation (DDI), plus précisément dans le pôle IT Business. Le/La consultant(e) rejoindra l’équipe IT Front, composée de 5 à 6 personnes incluant un responsable d’équipe, deux développeurs et deux à trois maîtrises d’ouvrage. Cette équipe est chargée de répondre aux besoins métier des gérants de portefeuilles, que ce soit par des développements internes ou par l’intégration de solutions externes. En relation directe avec les gérants, les quants, les risk managers et le Middle Office, le/la consultant(e) interviendra dans un contexte dynamique, agile et collaboratif, sur des projets stratégiques à forte valeur ajoutée pour la société de gestion. Description de la prestation<ul><li>Interface entre les métiers et l’IT Business.</li><li>Analyse, rédaction des spécifications et recettage fonctionnel.</li><li>Support du parc applicatif existant.</li><li>Challenge des besoins, arbitrage et proposition de solutions adaptées.</li><li>Cadrage de problématiques métier complexes et pilotage de la mise en œuvre avec le responsable d’équipe.</li></ul> Projets principaux Projet Newton – Migration du modèle opérationnel Front-to-Back<ul><li>PMS, OMS, transferts de données (instruments, positions, transactions, produits, émetteurs, benchmarks, indices).</li></ul>Projet Transition RM – Rationalisation du SI<ul><li>VL, benchmarks et indices, attribution de performance, flux de souscription/rachat, retrait de l’application core RM.</li></ul> Missions<ul><li>Organiser les réunions et ateliers projet.</li><li>Recueillir et analyser les besoins métier.</li><li>Concevoir, modéliser et rédiger les spécifications fonctionnelles (BD, API, écrans, flux…).</li><li>Planifier et suivre l’avancement des projets.</li><li>Analyser les impacts SI et garantir la cohérence globale.</li><li>Coordonner les tests, la recette et préparer les mises en production.</li><li>Former les utilisateurs et accompagner la conduite du changement.</li><li>Assurer le support applicatif avec l’équipe.</li><li>Rédiger et maintenir la documentation.</li></ul> Compétences fonctionnelles<ul><li>Processus Front, Middle et Back Office en Asset Management.</li><li>Instruments financiers et fonds d’investissement.</li><li>Connaissance des données ESG (basique).</li><li>Gestion de projet.</li><li>Recueil & analyse des besoins.</li><li>Rédaction de spécifications fonctionnelles.</li><li>Modélisation de processus métier.</li><li>Recette fonctionnelle.</li><li>Méthodologie Agile.</li></ul> Compétences techniques<ul><li>SQL et/ou API.</li><li>Jira, Confluence.</li><li>Excel, VBA ou langage de développement.</li><li>Outil de data visualisation (débutant).</li><li>Notions ALTO (tenue de position / passage d’ordre).</li></ul> Soft skills<ul><li>Capacité à gérer simultanément support et projets.</li><li>Motivation, autonomie, force de proposition.</li><li>Excellentes compétences de communication et de rédaction.</li><li>Travail en équipe.</li><li>Capacité à challenger le métier et l’IT.</li><li>Orientation client.</li></ul>

Location: Luxembourg Do you want to start an ambitious and challenging career?Would you like to work in an exciting and fun environment?Do you thrive in work environments that push you to be your best? TaleoConsulting is a management consulting group with offices in Luxembourg, Paris, Brussels, Amsterdam, Geneva, Zurich, Barcelona, Singapore, and Lisbon. As a young and growing company, we now count over 400 employees across our 9 international offices! Our activities are primarily focused on finance, life science, retail, and energy. What will you do? We believe that we grow as our people grow. Motivated professionals make a difference. Not just for themselves, but also for our customers. We are looking for people who share our corporate values among our local and international networks and promote close relationships with our customers and internal teams.Taleo's success depends on the talent of its employees, therefore we are looking for an enthusiastic AI Product Manager - Digital PM Consultant : <ul><li>Build and manage the AI roadmap for digital acquisition aligned with group objectives and frameworks</li><li>Identify benchmark and recommend innovative AI solutions that enhance SEO SEA campaign optimisation and advanced targeting</li><li>Support the deployment and evaluation of AI pilot initiatives to validate business value</li><li>Coordinate actions and ensure strong collaboration with Data Marketing Automation Web UX teams and partner agencies</li><li>Audit existing acquisition mechanisms across business units and propose AI driven improvement plans</li><li>Provide progress reporting on AI initiatives to key stakeholders</li><li>Support digital marketing teams in developing AI skills and new usage adoption</li><li>Ensure best practices in data management AI ethics and compliance including GDPR</li></ul> How do we imagine our future AI Product Manager - Digital PM Consultant?<ul><li>Proven experience in digital project management with strong expertise in acquisition channels such as SEO, SEA Social and Programmatic</li><li>Strong experience with AI technologies applied to marketing including generative AI NLP scoring and recommendation systems</li><li>Good knowledge of Insurance products and lyfecycle.</li><li>Strong understanding of data tracking attribution and CRM fundamentals</li><li>Knowledge of relevant AI tools and frameworks for digital marketing</li><li>Familiarity with project management methodologies such as Agile Scrum or Kanban</li><li>Strategic mindset with the ability to translate complex AI topics into actionable operational plans</li><li>Excellent communication and coordination skills able to operate effectively in a matrix organisation and simplify technical concepts</li><li>Analytical structured and highly results driven</li><li>Fluent French and English written and spoken</li></ul> We hire great people and give them the playing field to become awesome! Rather than a diploma or extensive experience, it’s your state of mind that will allow you to reach your potential and meet the target with Taleo! Why should you join us? You will be part of a talented and dynamic team! You will be able to benefit from career advancement and have the possibility to develop international and long-lasting work relationships. If these words resonate with you and you identify with this description, send us your CV! We will be delighted to meet you.

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
First Touch Attribution	SQL	Hard	Very High

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