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REQUIREMENT_ID_1797 β€’ 3-DAY_ACTIVE_POLICY

Associate Consultant - Analytics

Company
Company Metlifecareers
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 5 LPA
Location
Location Noida, Uttar Pradesh
Posted Date
Posted Date Today
Excel Power BI Tableau SQL Python data analysis reporting financial bordereaux communication teamwork
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Aptitude Practice for Analytics Roles Open Resource β†—
Helps sharpen quantitative and logical reasoning skills essential for data analysis and reporting at MetLife.
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Interview Preparation for Consulting Roles Open Resource β†—
Provides insights into case study and behavioral questions commonly asked in consulting and analytics interviews at MetLife.
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Data Analytics Project Practice Open Resource β†—
Offers hands‑on projects to build practical experience in data visualization and reporting, aligning with MetLife’s analytics needs.
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Coding Challenges for Analytics Open Resource β†—
Enhances problem‑solving and programming skills in Python and SQL, useful for technical assessments at MetLife.

Bachelor’s degree in any discipline (preferably B.Com, BBA, B.Sc (IT), B.E./B.Tech, or equivalent). Minimum 60% marks or 6.5 CGPA. No backlog allowed. Batch year 2026. Strong analytical and communication skills required.

1
Round 1: Technical – aptitude, case study, and basic analytics questions
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Round 2: HR – behavioral and cultural fit
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Round 3: Managerial – role‑specific scenario and project discussion
MetLife, a Fortune‑listed global insurance and financial services leader, has a strong presence across more than 40 markets worldwide. With a focus on innovation and customer‑centricity, the company is building an AI‑enabled future that blends technology with human insight. MetLife’s core valuesβ€”Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Aheadβ€”guide every employee’s daily work, fostering a culture of collaboration, integrity, and continuous improvement. The organization’s commitment to diversity, inclusion, and employee development has earned it recognition as one of the world’s best workplaces. The Associate Consultant – Analytics role is a full‑time, hybrid position based in Noida, Uttar Pradesh. As an analytics associate, you will be responsible for generating, preparing, and analyzing a wide range of reportsβ€”annual, quarterly, weekly, and ad‑hocβ€”for MetLife’s multinational clients. You will collect data from global offices, manage reinsurance documentation, and prepare financial bordereaux for pooling and captive arrangements. Your work will involve liaising with local members and partner companies to ensure timely and accurate reporting, completing quarterly settlements, and supporting projects that simplify and standardize reporting processes. Key responsibilities include: 1. Generate, prepare, and analyze annual, quarterly, weekly, and ad‑hoc reports. 2. Collect information from global offices for multinational client reports. 3. Create and execute reporting processes, ensuring deadlines and client expectations are met. 4. Maintain reinsurance documentation related to pooling and/or captive clients. 5. Prepare basic to moderate financial bordereaux for pooling or captive arrangements. 6. Liaise with local members to gather information for pool/captive programs. 7. Work with local offices/partner companies to track, measure, and enforce timely reporting of financial information. 8. Complete quarterly settlements with members and captive clients. 9. Support projects aimed at simplifying and standardizing reporting and analysis processes. 10. Collaborate with cross‑functional teams to improve report quality and timeliness. Tech stack: Excel, Power BI/Tableau, SQL, Python, and basic knowledge of data visualization tools. Growth path: Analyst β†’ Senior Analyst β†’ Manager β†’ Senior Manager β†’ Director. Why join MetLife? You’ll work in a global, inclusive environment that values innovation and offers ample opportunities for skill development and career progression. The role provides exposure to complex analytics projects, cross‑functional collaboration, and the chance to contribute to a company that is shaping the future of financial services.

Metlifecareers β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Metlifecareers Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Metlifecareers and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Excel, Power BI, Tableau, SQL, Python, data analysis, reporting, financial bordereaux, communication, teamwork) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Metlifecareers Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Metlifecareers as a Associate Consultant - Analytics?
Preparation Tip: Highlight Metlifecareers's market reputation, recent tech innovations, and how your skills in Excel directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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