Siemens is hiring Experience candidates for Data Analytics – Developer. The details of the job, requirements and other information given below:
SIEMENS IS HIRING : DATA ANALYTICS – DEVELOPER
- Qualification : A degree in Computer Science, Business Informatics, or a similar technical field with a specialization in Information Technology.
- At least 3 years of combined work experience in front-end BI development (Power BI and/or Qlik Cloud) / RPA development (Python, SAP GUI Scripting, PowerApps, UiPath or a similar low-code platform).
- Proficiency in writing SQL queries and general relational database proficiency.
- Experienced with Data Science.
- [Optional] Knowledge of Python, or similar (e.g. Java, C++).
- Knowledge of SAP.
- Strong analytical and problem-solving skills.
- Good collaboration and communications skills (English).
- Location: Bengaluru, Karnataka, India
Don’t miss out, CLICK HERE (to apply before the link expires)
INTERVIEW QUESTIONS & ANSWERS – Data Analytics Developer
1. Tell me about yourself.
Answer:
I have a degree in [your degree, e.g., Computer Science or Information Technology], and I have around 3 years of experience working in data analytics and business intelligence. I specialize in building dashboards using tools like Power BI and Qlik Cloud. I am good at working with data — extracting it, cleaning it, and transforming it using SQL, especially in cloud-based platforms like Snowflake.
In my previous roles, I’ve also worked on automation using Power Automate and built small apps using PowerApps. I enjoy solving problems using data and turning raw information into useful insights that help businesses make better decisions. I’m also comfortable working in a team and communicating my ideas clearly.
2. What is Power BI, and how have you used it?
Answer:
Power BI is a business analytics tool from Microsoft. It helps users visualize data and share insights across an organization or embed them in apps or websites.
I have used Power BI to build interactive dashboards for reporting sales, supply chain performance, and customer data. I connect Power BI to different data sources like Excel, SQL Server, and Snowflake. I use Power Query to clean and transform the data. Then, I use charts, tables, filters, and slicers to make dashboards that are easy to use and understand. I also write DAX formulas to add custom calculations and KPIs.
3. What is Qlik Cloud, and how is it different from Power BI?
Answer:
Qlik Cloud is a cloud-based data analytics platform by Qlik. Like Power BI, it allows you to visualize data and build dashboards. However, one big difference is that Qlik uses an “Associative Engine,” which helps users explore data in a more flexible way — it’s easier to see connections between different parts of your data.
In my work, I’ve used Qlik Cloud to create dashboards that analyze operational data. I use its scripting language to load and prepare data, and then design visualizations to help teams track KPIs.
4. What is Snowflake and how have you used it?
Answer:
Snowflake is a cloud-based data warehouse. It allows you to store, manage, and analyze large amounts of data. It works on platforms like AWS, Azure, and Google Cloud.
I use Snowflake mainly to write SQL queries that extract and transform data. For example, I pull data from different sources, clean it using SQL commands, and prepare it for reporting in Power BI or Qlik Cloud. Snowflake is fast, scalable, and supports real-time analytics, which makes it perfect for modern data projects.
5. What is ETL and how do you perform it?
Answer:
ETL stands for Extract, Transform, and Load.
Extract: Get data from different sources like databases, Excel, or APIs.
Transform: Clean and change the data into a usable format — like removing duplicates, changing formats, combining tables, or adding calculated fields.
Load: Put the clean data into a data warehouse or tool like Snowflake, where it can be used for reports.
I usually write SQL scripts for the transformation part, and use tools like Power Query in Power BI or scripting in Snowflake to manage ETL processes.
6. What is Power Automate and how have you used it?
Answer:
Power Automate is a tool by Microsoft that helps automate repetitive tasks. It can connect different apps and services — like Outlook, SharePoint, and Teams — and run workflows automatically.
For example, I created a workflow that sends an email alert if a report shows critical issues in the supply chain data. I’ve also used Power Automate to trigger data refreshes and integrate with PowerApps.
7. What is PowerApps?
Answer:
PowerApps is a low-code platform that allows users to build custom business apps without much coding. These apps can connect to data from different sources like SharePoint, Excel, or SQL Server.
I used PowerApps to build a simple inventory tracking tool. The app allowed users to enter product details, check stock, and generate reports. It helped reduce the need for manual data entry and improved accuracy.
8. How do you ensure your dashboards are user-friendly?
Answer:
I follow these practices to make dashboards user-friendly:
Use clear titles and labels.
Choose the right chart type for the data (e.g., bar charts for comparisons, line charts for trends).
Use colors to highlight key values or trends.
Keep the layout clean and simple — avoid clutter.
Add filters and slicers so users can explore the data themselves.
Ask users for feedback and update the dashboards based on their needs.
9. Do you have any experience with SAP?
Answer:
Yes, I’ve worked with SAP data in previous projects. I used SAP GUI scripting and Power Automate to extract data from SAP tables. I also understand the basic structure of SAP modules like MM (Material Management) and SD (Sales and Distribution), especially when working with supply chain data.
10. How do you handle errors or bugs in your dashboards or automation tools?
Answer:
When an error happens, I follow these steps:
Understand the issue: I talk to the user or check error logs to understand what went wrong.
Replicate the problem: I try to reproduce the error so I can fix it.
Check data sources: Sometimes the problem is due to missing or incorrect data.
Fix the code or formula: I review and correct the DAX formula, SQL query, or automation script.
Test the fix: I make sure the issue is fully resolved and the results are correct.
Document the fix: I update the documentation so that the issue and solution are recorded for future reference.
11. What are your strengths?
Answer:
I am good at analyzing data and finding patterns or issues.
I learn new tools and technologies quickly.
I am detail-oriented, which helps in building accurate reports.
I work well in teams and communicate clearly.
I enjoy solving problems and making things more efficient through automation.
12. Why do you want to work at Siemens Healthineers?
Answer:
Siemens Healthineers is a respected global company that is making a real difference in healthcare. I want to be part of a team that uses data and technology to improve lives. The role matches my skills in data analytics and automation, and I believe I can grow professionally by working on meaningful projects here.
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