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

Metlife Business Intelligence Interview Guide

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


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

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

Overview

Metlife Business Intelligence 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.

Metlife Business Intelligence Interview Process

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.

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

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

Example:

Input:

<code>bank_transactions</code> table

<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>
Output:

<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

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

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.

Example:

Input:

<code>players</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>

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

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

<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

Write a query to identify customers who placed more than three transactions each in both 2019 and 2020.

Example:

Input:

<code>transactions</code> table

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

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

<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>product_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>quantity</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>users</code> table

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

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

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
 
Output:

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

<tbody>
<tr>
<td><code>customer_name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>

Which of the following queries will return a list of customers and the total amount they have spent on orders?

Which of the following queries will return a list of customers and the total amount they have spent on orders?

Customer Orders

Metlife Business Intelligence Interview Questions

Job Details: Role: Lead Data Engineer (System Engineer)Location: HyderabadYears of Experience: 10+ yearsWork Model: Hybrid About Profile: With the acceleration of digital transformation (DX) and rapid changes in business models and IT systems at firms nowadays, we are focusing on the importance of data and promote the utilization of data to provide more value to our customers with speed.In this regard, from a data engineering perspective, our IT organization is rebuilding and integrating legacy on-premises data infrastructures into the cloud as one data platform that seamlessly connects various internal and external data sources. This role will lead to solve business challenges with a proven track record as experienced data engineer, in collaboration with business and IT teams.The ideal candidate should have a technical backbone with hands on experience in various disciplines of Data Engineering leading an army of Engineers. Responsibilities: <ol><li>Leads the creation of architectural specifications, ensuring feasibility, functionality, and integration with existing systems/platforms. Works towards enabling self service capabilities for business partners.</li><li>Lead the collection and documentation of user requirements as well as lead the development of user stories and estimates into technology solutions for large complex features in collaboration with Product Owner.</li><li>Lead the detailed technical design and development of applications/platforms. Partner with Product owner in planning. Responsible for ensuring disaster recovery, privacy and security are aligned to enable</li><li>application/platform stability. </li><li>Leads peer reviews of solution designs and related code for complex features. Ensures code meets best practice guidelines set by application/platform vendor.</li><li>Investigate and resolve production management incidents, problems, and service requests. Manages prioritization of problems, incidents, and service requests with Product Owner.</li><li>Leads team in production support activities of complex nature and/or Product. Leads the effort in upgrading or patching applications/platforms as needed.</li><li>Maintain awareness of trends and issues in area of technical expertise, evaluate new technologies or technology opportunities, and provide analysis of their potential impact to champion the customer.</li><li>Lead the analysis and design of data pipelines that bring in various internal and external data into the data lake in the cloud based on the business use case.</li><li>Lead the design and development of data marts that make large volumes of data from the data lake accessible to business analysts and data scientists.</li><li>As Lead data engineer , contribute to the development of each team member and the maturation of the team.</li><li>Understand and align with strategy of company-wide / IT organization. Drive projects and delivery.</li><li>Lead delivery teams in an agile delivery model.</li><li>Solution definition and architecture design for assigned areas.</li><li>Project management or PMO (including budget and vendor management)</li><li>BAU management of data engineering teams (e.g., system availability, change release, incident and problem management)</li><li>Alignment to global IT strategy, collaboration with MetLife global or regional teams</li></ol> QualificationsExperience:10+ years data engineering or application development experience (ETL/ELT/BI)5+ years' experience in project management or PMO5+ years' experience in BSA for application development or Data Analyst3+ years cloud-based application or data platform development2+ years of experience developing or participating in Agile, Scrum, or SAFe5+ years' experience leading project with a few members5+ years' experience managing offshore teams of around 10 people. Basic Expectations: <ul><li>Expert level knowledge on building Data Pipelines on Azure Platform using various services including but not limited to </li><li>Azure Data Factory/ Synapse </li><li>Data Bricks / Synapse Spark pool</li><li>Cosmos DB </li><li>ADLS</li><li>Dedicated SQL Pool / Azure SQL </li><li>Logical Apps </li><li>Ingestion of structured / unstructured data / semi-structured data into the data lake</li><li>Hands on experience doing data Transformation/Cleansing using programming languages such as Spark/Python/R/SQL</li><li>Hands on DevOps and CI/CD using Azure DevOps</li><li>Working experience on Project delivery using Agile methodologies.</li></ul> Desirable Skills: Planning, evaluating and piloting use cases using Generative AIExperience working with Event Hubs and Streaming solutionsDomain knowledge for Life Insurance Mandatory Certifications Need at least 1 certification each from a and b. Azure Certification: Data Engineer Associate (DP-203)Azure AI Engineer Associate (AI-102)Azure Data Scientist Associate (DP-100) SAFE SAFE for Teams SAFE Scrum Master Certification (SSM) LanguageEnglish: BusinessJapanese: Not mandatory but good to have ( any level is fine).

<h3>Description and Requirements </h3>The Team On MetLife’s Global Technology team, what you build here matters. We view our solutions through the eyes of the customers and are always striving to transform and simplify their experience. Whether your focus is keeping our customers’ and employees’ data and information safe, developing best-in-class digital and cloud solutions, or leveraging data and analytics to transform customer insights into customer-first solutions – you make an impact for the customers we serve. We each play an integral role in bringing MetLife’s purpose of building a more confident future to life. Sound like a team you’d like to work with? Join us! The Role We are seeking an experienced and visionary Chief Data Architect to lead our data strategy and architecture efforts. As the Chief Data Architect, you will play a critical role in shaping the direction of our data systems, ensuring they align with business goals, and driving innovation through data-driven insights. You will collaborate with various teams to design, implement, and maintain robust data architectures that support our growing needs. Key Responsibilities: <ul><li>Data Strategy Development: Develop and implement a comprehensive data strategy aligned with the organization’s business objectives, ensuring scalability and adaptability. </li><li>Architecture Design: Design and oversee the implementation of data architectures, including data models, data integration frameworks, and data governance policies. </li><li>Technology Leadership: Stay abreast of the latest industry trends and technologies, recommending and implementing modern data solutions that enhance efficiency and data quality. </li><li>Collaboration: Work closely with IT, data science, analytics, and business teams to understand their data needs and provide architectural solutions that support their objectives. </li><li>Data Governance: Establish and enforce data governance policies and standards to ensure data integrity, security, and compliance with relevant regulations. </li><li>Performance Optimization: Monitor and optimize data systems for performance, reliability, and scalability, addressing any issues that arise. </li><li>Mentorship: Mentor and guide data architects, engineers, and other relevant team members, fostering a culture of continuous learning and improvement. </li><li>Project Management: Lead and manage data architecture projects, ensuring timely delivery within budget and scope. </li> </ul>Candidate Qualifications: <ul><li>Education: Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or a related field. </li><li>Experience: Minimum of 10 years of experience in data architecture, data management, or related roles, with at least 5 years in a leadership position. </li><li>Technical Expertise: Extensive knowledge of data modeling, database design, data warehousing, ETL processes, and big data technologies (e.g., Hadoop, Spark, NoSQL databases). </li><li>Tools and Technologies: Proficiency with data architecture tools and platforms (e.g., ERwin, Informatica, Talend, Kafka, Spark) and familiarity with cloud data services (e.g., AWS, Azure, Google Cloud). </li><li>Leadership Skills: Proven ability to lead and manage cross-functional teams, with excellent communication and interpersonal skills. </li><li>Analytical Skills: Strong problem-solving abilities and a strategic mindset, capable of translating business needs into effective data solutions. </li><li>Certifications: Relevant certifications (e.g., TOGAF, CDMP) are a plus. </li> </ul>Leadership Competencies: <ul><li>Thinks Strategically: Sets direction aligned to the company’s strategy, applying external and global perspective to meet local and global needs. </li><li>Motivates People: Gains people commitment to achieve business objectives through clear communication of the company’s vision and flexing leadership styles to inspire high performance. </li><li>Grows Talent: Inclusively and pro-actively develops talent, empowers individuals and manages diverse teams to drive engagement and performance. </li><li>Models our Values: Creates a culture that promotes the company’s values and standards through role modeling, accountability and ownership of decisions. </li><li>Focuses on Customers: Promotes customer centricity and ensures focus on creating differentiating customer experiences to achieve competitive advantage. </li><li>Drives Results: Sets aggressive goals and is accountable for continuously driving improved performance, leading change and ensuring high standards. </li> </ul>About MetLife: MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies, providing insurance, annuities, employee benefits and asset management to help its individual and institutional customers navigate their changing world. Founded in 1868, MetLife has operations in more than 40 countries and holds leading market positions in the United States, Japan, Latin America, Asia, Europe and the Middle East. We are one of the largest institutional investors in the U.S. with $642.4 billion of total assets under management as of March 31, 2021. We are ranked #46 on the Fortune 500 list for 2021. In 2020, we were named to the Dow Jones Sustainability Index (DJSI) for the fifth year in a row. DJSI is a global index to track the leading sustainability-driven companies. We are proud to have been named to Fortune magazine’s 2021 list of the “World’s Most Admired Companies.” MetLife is committed to building a purpose-driven and inclusive culture that energizes our people. Our employees work every day to help build a more confident future for people around the world. MetLife is a proud Equal Employment Opportunity and Affirmative Action employer dedicated to attracting, retaining, and developing a diverse and inclusive workforce. All qualified applicants will receive consideration for employment at MetLife without regards to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. MetLife maintains a drug-free workplace. #J-18808-Ljbffr

Role Value PropositionMetLife is the leading insurance provider. The MetLife Holdings organization is looking for a Software Engineer in a full-stack developer capacity. Full Stack Software Development engineer's role is to provide design, engineering, and implementation support. In this role, you will interact with the Agile Delivery Team, Business and IT Leaders, and IT partners, providing technical support throughout the project lifecycle. Focus will include solution design, security, development, debugging, and production support. We are looking for an energetic and motivated system development engineer who is forward-focused, a creative problem solver, not afraid of experimentation, and a team player who enjoys working in an Agile Delivery Model. Your work will make an impact on how MetLife fulfills its promises to the customer, and you will have excellent opportunities to interact and contribute to the organization's success.Key Responsibilities:Participate in design discussions and provide technical support to application developers and operations support staff. This includes promoting use of best practices, ensuring standardization across applications, and troubleshooting.Implement integration solutions through collaboration with engineers and application teams across the global enterprise.Promote and utilize automation to design and support configuration management, orchestration, and maintenance of the integration platforms using tools and scripts such as Ansible, Python, PowerShell, and Linux shell.Investigate, recommend, implement, and maintain document generation solutions across technologies.Learn new technologies and develop automation scripts in collaboration with senior engineers.Essential Business Experience and Technical Skills:Required:Bachelor's degree in computer science, Information Systems, Engineering, or related field.2+ years of distributed systems development with some of the following: Java, Java Spring Boot, JavaScript, React/Angular/Web Components, NodeJS, and RestAPI services.Experience in building application infrastructures.Experience with SQL-similar relational databases.Working knowledge of building, deploying and maintaining web applications utilizing Web servers, Application servers, and Database servers.Experience with agile methodologies, and tools like JIRA or Azure DevOps.Ensuring secure, high code quality across the project.Excellent verbal and written communication skills with focused attention to details, as well as, demonstrated professionalism and time/task management skills; ability to establish strong relationships.Preferred:Working knowledge of AKS, Azure, Docker, and Synapse.Experience with API Design & Development (Microservices, Springboot, Java, REST, NodeJS).Experience in test-first practices, including Test Drive Development (TDD) and Behavior-Driven Development (BDD).Knowledge of managing Continuous Delivery Pipeline using tools like Git, Azure DevOps, GitHub, and Artifactory.Design experience utilizing Use Cases, Features, and User Stories.Exposure to Microsoft Azure tools.Hands-on experimentation with prompt engineering, semantic search, and GenAIExposure to modern AI concepts such as generative AI, various models of machine learning, large language models, conversational AI (chatbot, etc.) as well involvement in older concepts like automation, robotics, and scripting.SAFe Agile certification.At MetLife, were leading the global transformation of an industry weve long defined. United in purpose, diverse in perspective, were dedicated to making a difference in the lives of our customers.Equal Employment Opportunity/Disability/VeteransIf you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.MetLife maintains a drug-free workplace.

Position SummaryMetLife established a Data and Analytics center in Hyderabad to scale and mature Data and Analytics capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Data and Analytics’ talent strategy with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The team in India mirrors the global DnA team with focus across Data science, Enterprise business intelligence, Data Governance, Data Quality, Solutions Engineering and Agile Delivery. In partnership with Business, IT, DnA colleagues in other geographies, the team has been delivering data & analytics solutions for the Enterprise across lines of businesses, corporate functions, markets, and products. Role Value Proposition To lead the development, delivery and execution of end-to-end data and analytics solutions for key insurance business functions such as claims service &operations, customer acquisition, customer engagement & retention, distribution, investments, marketing, risk management and underwriting. The role will collaborate with partners from Business, operations, technology, and risk management functions to develop scalable and responsible AI solutions. Job Responsibilities<ul><li>Lead all stages of Data, analytics & AI product development life cycle: from problem identification, conceptualization, prioritization to solution development and delivery.</li><li>Contribute to hands-on development of data & analytics solutions.</li><li>Collaborate with business and technology partners to co-create solutions anchored on customer care, human-centered design, frictionless services, and meaningful engagement.</li><li>Develop Data and Analytics roadmaps. Deliver solutions with transformational impact to the Enterprise.</li><li>Communicate, engage, and present roadmaps, use cases, solutions and impact to senior management.</li><li>Deliver products and solutions in a timely, proactive, and entrepreneurial manner.</li><li>Institutionalize best practices, contribute to research and experimentation efforts.</li><li>Accelerate solution delivery using re-usable frameworks, prototypes and hackathons.</li><li>People leadership: talent acquisition, coaching and mentoring team.</li></ul> Education, Technical Skills & Other Critical Requirement<ul><li>Bachelor’s/Master’s degree in an information technology/computer science or relevant domain. MBA or financial services industry experience preferred;</li><li>10-14+ years of relevant experience in data and analytics product & solution delivery</li><li>Traditional as well as modern statistical and machine learning techniques</li><li>Azure ML, OpenAI, Python, PyTorch , SQL, and TensorFlow</li><li>Experience working with large and complex internal, external, structured and unstructured datasets.</li><li>Responsible deployment of AI. Developing and maintaining detailed technical documentation.</li><li>Solution Engineering and Consultative skills: Strong conceptual and creative problem-solving skills </li><li>Agile methodologies & tools. </li><li>Excellent written, verbal communication skills and presentation skills; engage in meaningful manner with variety of audience: business stakeholders, technology partners & practitioners, executive and senior management. </li><li>Industry knowledge about emerging AI trends, AI tools and technologies, </li></ul> Preferred<ul><li>Familiarity of new age AI and ML techniques such as GenAI, foundational models, large language models (LLMs) and applications</li><li>Certifications in AI space such as ML Ops, AI Ops, Generative AI, Ethical AI, AI in cloud</li><li>Management consulting experience </li><li>Data management, Data engineering, Data governance, Data operations, Data on Cloud</li></ul>

With the acceleration of digital transformation (DX) and rapid changes in business models and IT systems at firms nowadays, we are focusing on the importance of data and promote the utilization of data to provide more value to our customers with speed.In this regard, from a data engineering perspective, our IT organization is rebuilding and integrating legacy on-premises data infrastructures into the cloud as one data platform that seamlessly connects various internal and external data sources. This role will lead to solve business challenges with a proven track record as experienced data engineer, in collaboration with business and IT teams.The ideal candidate should have a technical backbone with hands on experience in various disciplines of Data Engineering leading an army of Engineers. Responsibilities: <ul><li>Leads the creation of architectural specifications, ensuring feasibility, functionality, and integration with existing systems/platforms. Works towards enabling self service capabilities for business partners.</li><li>Lead the collection and documentation of user requirements as well as lead the development of user stories and estimates into technology solutions for large complex features in collaboration with Product Owner.</li><li>Lead the detailed technical design and development of applications/platforms. Partner with Product owner in planning. Responsible for ensuring disaster recovery, privacy and security are aligned to enable</li><li>application/platform stability. </li><li>Leads peer reviews of solution designs and related code for complex features. Ensures code meets best practice guidelines set by application/platform vendor.</li><li>Investigate and resolve production management incidents, problems, and service requests. Manages prioritization of problems, incidents, and service requests with Product Owner.</li><li>Leads team in production support activities of complex nature and/or Product. Leads the effort in upgrading or patching applications/platforms as needed.</li><li>Maintain awareness of trends and issues in area of technical expertise, evaluate new technologies or technology opportunities, and provide analysis of their potential impact to champion the customer</li><li>Lead the analysis and design of data pipelines that bring in various internal and external data into the data lake in the cloud based on the business use case.</li><li>Lead the design and development of data marts that make large volumes of data from the data lake accessible to business analysts and data scientists.</li><li>As Lead data engineer , contribute to the development of each team member and the maturation of the team.</li><li>Understand and align with strategy of company-wide / IT organization. Drive projects and delivery.</li><li>Lead delivery teams in an agile delivery model.</li><li>Solution definition and architecture design for assigned areas.</li><li>Project management or PMO (including budget and vendor management)</li><li>BAU management of data engineering teams (e.g., system availability, change release, incident and problem management)</li><li>Alignment to global IT strategy, collaboration with MetLife global or regional teams</li></ul> Experience:10+ years data engineering or application development experience (ETL/ELT/BI)5+ years' experience in project management or PMO5+ years' experience in BSA for application development or Data Analyst3+ years cloud-based application or data platform development2+ years of experience developing or participating in Agile, Scrum, or SAFe5+ years' experience leading project with a few members5+ years' experience managing offshore teams of around 10 people. Basic Expectations: Expert level knowledge on building Data Pipelines on Azure Platform using various services including but not limited to Azure Data Factory/ Synapse Data Bricks / Synapse Spark poolCosmos DB ADLSDedicated SQL Pool / Azure SQL Logical Apps Ingestion of structured / unstructured data / semi-structured data into the data lakeHands on experience doing data Transformation/Cleansing using programming languages such as Spark/Python/R/SQLHands on DevOps and CI/CD using Azure DevOpsWorking experience on Project delivery using Agile methodologies. Desirable Skills: Planning, evaluating and piloting use cases using Generative AIExperience working with Event Hubs and Streaming solutionsDomain knowledge for Life Insurance Mandatory Certifications Need at least 1 certification each from a and b. Azure Certification: Data Engineer Associate (DP-203)Azure AI Engineer Associate (AI-102)Azure Data Scientist Associate (DP-100) SAFE SAFE for Teams SAFE Scrum Master Certification (SSM) LanguageEnglish: BusinessJapanese: Not mandatory but good to have ( any level is fine).

Metlife Business Intelligence Interview Guide

Overview

Metlife Business Intelligence Salary

Metlife Business Intelligence Interview Process

Metlife Business Intelligence Interview Questions

Metlife Business Intelligence Jobs