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REQUIREMENT_ID_1567 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst

Company
Company NatWest Group
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 6 - 10 LPA
Location
Location Chennai, Tamil Nadu
Posted Date
Posted Date Today
Data Analytics Data Architecture SQL Python R Data Visualization Cloud Computing Advanced Analytics AI Financial Services Knowledge Stakeholder Communication
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Data Analytics Aptitude Practice Open Resource β†—
Provides a range of practice questions to sharpen analytical reasoning and problem‑solving skills essential for data analyst roles.
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Interview Preparation for Data Roles Open Resource β†—
Offers insights into common interview questions, case studies, and best practices for data‑centric positions.
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Data Structures and Algorithms Practice Open Resource β†—
Helps build a strong foundation in coding, algorithmic thinking, and problem‑solving for technical interviews.
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Coding Challenges Open Resource β†—
Provides a variety of coding problems to improve programming proficiency and speed, useful for technical interview rounds.

B.E/B.Tech (any branch) with a minimum 60% aggregate (or equivalent). Demonstrated working knowledge or capability of a cloud environment with 4+ years of experience. Strong analytical skills, proficiency in SQL and at least one programming language (Python/R). Ability to create clear data visualizations and communicate insights to non‑technical stakeholders. No backlog policy; all backlogs must be cleared before joining.

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Round 1: Technical interview – SQL, coding, and analytical problem solving
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Round 2: Technical interview – Advanced analytics, cloud architecture, and case study
3
Round 3: HR interview and cultural fit
NatWest Group, a leading global banking and financial services organization, is expanding its presence in India with a focus on data-driven decision making. The company has a long history of innovation, customer-centric solutions, and a strong commitment to sustainability and responsible banking. With a diverse portfolio that includes retail banking, wealth management, and corporate finance, NatWest Group offers a dynamic environment where data professionals can contribute to impactful projects that shape the future of banking. The Data Analyst role in Chennai is part of the Data, Insights & Analytics function and is designed to harness advanced analytics, data visualization, and cloud technologies to solve complex business problems. The position is permanent, full‑time, and requires a B.E/B.Tech graduate with a passion for data, strong analytical thinking, and the ability to translate analytical outputs into actionable business insights. Key Responsibilities: 1. Use advanced analytics to develop business solutions that improve decision‑making and customer outcomes. 2. Analyze customers, processes, channels, and products to enhance business understanding. 3. Work closely with business stakeholders to define detailed analytical questions and opportunities. 4. Identify ways to streamline processes, increase automation, and drive efficiency. 5. Participate in Agile, multidisciplinary data and analytics teams, contributing to sprint planning and execution. 6. Coordinate resources across teams to achieve project and Scrum outcomes. 7. Deliver data and analytics solutions that provide commercial and customer value. 8. Communicate analytical opportunities and recommendations to stakeholders in clear, non‑technical language. 9. Leverage new technologies, tools, and methodologies for advanced analytics. 10. Integrate data analytics, data science, and data engineering outputs into cohesive, understandable insights. Tech Stack & Tools: - SQL (advanced queries, window functions, subqueries) - Python/R for data manipulation and statistical analysis - Data visualization tools (Tableau, Power BI, Looker) - Cloud platforms (AWS, Azure, GCP) with experience in data services such as Redshift, BigQuery, Snowflake - ETL/ELT pipelines and data warehousing concepts - Basic knowledge of AI/ML concepts and tools Growth Path: Starting as an associate‑level analyst, you will gain exposure to end‑to‑end analytics projects, cross‑functional collaboration, and leadership opportunities within the data team. Over time, you can progress to senior analyst, lead analyst, or data science roles, and eventually move into product ownership or data strategy positions. Why Join NatWest Group? - Competitive, industry‑leading compensation and benefits. - Exposure to global banking operations and cutting‑edge data technologies. - A culture that values innovation, continuous learning, and career development. - Opportunities to work on high‑impact projects that influence millions of customers. - Strong emphasis on work‑life balance, diversity, and inclusion. If you are a data enthusiast with a solid foundation in analytics, coding, and cloud environments, and you are eager to drive business outcomes in a global financial institution, NatWest Group offers a platform for growth, learning, and meaningful impact.

NatWest Group 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 🎯
NatWest Group Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for NatWest Group 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 (Data Analytics, Data Architecture, SQL, Python, R, Data Visualization, Cloud Computing, Advanced Analytics, AI, Financial Services Knowledge, Stakeholder Communication) & 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
NatWest Group 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 NatWest Group as a Data Analyst?
Preparation Tip: Highlight NatWest Group's market reputation, recent tech innovations, and how your skills in Data Analytics 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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