Google is hiring Fresher Candidates for the roles of WEB SOLUTIONS ENGINEER INTERN 2026 . The details of the job, requirements and other information given below:
BARCLAYS IS HIRING : DATA & ANALYTICS – FLM JOB UPDATES
- Qualification : Any Bachelor’s Degree
- Experience in designing and developing comprehensive reports and dashboards using various data visualization tools and techniques.
- Engaging with stakeholders as needed to ensure up to date data is incorporated into reporting.
- Other skills – SQL, Tableau or any similar data visualization tool, Python.
- Location: Pune, India
Don’t miss out, CLICK HERE (to apply before the link expires)
Barclays Data & Analytics – Interview Questions and Answers
1. Can you introduce yourself and explain why you are interested in Data & Analytics?
Answer:
My name is [Your Name], and I have a strong interest in data analysis and problem-solving. I enjoy working with tools like SQL, Python, and Tableau to turn raw data into meaningful insights. I want to build a career in Data & Analytics because it allows me to combine technical skills with business understanding. At Barclays, this role is exciting because it directly impacts financial decisions, helps manage risks, and improves customer experience.
2. Why do you want to work at Barclays?
Answer:
Barclays is one of the world’s leading financial institutions with a strong reputation for innovation and responsibility. I admire its values of Respect, Integrity, Service, Excellence, and Stewardship. Joining Barclays means I will be part of a global team where I can use my skills in data and analytics to solve real business problems. I also believe Barclays provides a great learning environment and opportunities for growth in my career.
3. What is the role of Data Analytics in banking?
Answer:
In banking, Data Analytics helps in:
-
Detecting fraud and risks by analyzing transaction patterns.
-
Supporting compliance with regulations by monitoring financial data.
-
Improving customer experience by understanding customer behavior and needs.
-
Assisting decision-making with accurate dashboards and reports.
-
Helping in cost reduction and efficiency by identifying weak areas in processes.
4. Can you explain the difference between SQL and Python in Data Analytics?
Answer:
-
SQL is mainly used for querying and managing databases. For example, retrieving customer transaction records or aggregating sales data.
-
Python is more flexible. It can do data cleaning, statistical analysis, and advanced modeling with libraries like Pandas, NumPy, and Matplotlib.
In short, SQL is great for structured data extraction, while Python is powerful for deeper analysis and automation.
5. How would you use Tableau (or a visualization tool) in this role?
Answer:
In this role, Tableau can be used to create interactive dashboards and reports that show business performance indicators like revenue, risks, or customer satisfaction. Instead of giving large tables of numbers, visualization helps stakeholders quickly understand trends and make better decisions. For example, I can create a dashboard to track fraudulent transactions across different regions and help the team act faster.
6. What steps would you take to design a new report for management?
Answer:
-
Understand requirements: Talk to stakeholders to know what they want to measure.
-
Collect data: Use SQL or other tools to fetch relevant and accurate data.
-
Clean and prepare data: Remove errors or missing values using Python/Excel.
-
Build the report/dashboard: Use Tableau or similar tools to present data in a clear way.
-
Test and review: Share with stakeholders for feedback.
-
Automate and maintain: Ensure the report updates regularly and reflects new business needs.
7. Can you explain what “risk and controls” mean in Data Analytics?
Answer:
-
Risk: The chance that something can go wrong, such as data errors, fraud, or compliance issues.
-
Controls: The rules and checks we apply to reduce risks, such as data validation, access restrictions, or approval processes.
In Data Analytics, strong risk and controls make sure that reports and dashboards are accurate, secure, and compliant with regulations.
8. Tell us about a time you solved a problem using data.
Answer:
In my academic project, I analyzed sales data of a retail company. Initially, the company thought sales were declining in all regions. After analyzing the data using SQL and Python, I found that sales were dropping only in one product category. By presenting this with a clear dashboard, the company could focus on fixing that category instead of changing the entire strategy. This experience showed me how data-driven decisions save time and money.
9. How do you handle situations when stakeholders ask for quick reports with incomplete data?
Answer:
I first explain the risks of using incomplete data and provide a clear picture of what insights can and cannot be trusted. If the report is urgently needed, I deliver it with a disclaimer and update it once complete data is available. This way, stakeholders get timely insights, but they are also aware of the limitations.
10. How do you ensure accuracy in your reports?
Answer:
-
Validate data at every step.
-
Cross-check results using multiple queries or tools.
-
Automate repetitive processes to avoid human errors.
-
Peer review or get sign-offs from stakeholders.
-
Keep records of assumptions and data sources for transparency.
11. Which Barclays Value do you relate to the most?
Answer:
I relate the most to Excellence. I believe in giving my best effort in every task, whether small or big. In Data & Analytics, accuracy and quality are extremely important, so striving for excellence helps me deliver reliable and impactful work.
12. Where do you see yourself in five years?
Answer:
In five years, I see myself as a Data & Analytics professional with strong expertise in financial data, reporting, and visualization. I want to grow into a role where I can lead projects, mentor junior analysts, and contribute to strategic decision-making at Barclays.
Conclusion
The Barclays Data & Analytics role in Pune is a great opportunity for freshers and professionals who want to use their SQL, Python, and visualization skills to create real business impact. Candidates should prepare for both technical questions (like SQL, Tableau, Python, risk, and reporting) and behavioral questions (teamwork, problem-solving, and values). A clear understanding of banking processes, compliance, and reporting will also help in interviews.
Google Web Solutions Engineer Intern – 2026
Interview Questions and Answers