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Data Analyst
Danfoss
Tiruporur, Tamil Nadu, IndiaOn Site
Original Job Summary
The Impact You'll Make
By joining our team as a Data Analyst at Danfoss, you will play a pivotal role in shaping data-driven decision-making across the business. Your expertise in designing, maintaining, and optimizing SQL databases and data pipelines will ensure seamless access to high-quality data, empowering business intelligence and analytics initiatives.
What You’ll Be Doing
- Develop and maintain SQL databases and scalable data pipelines for analytics.
- Collaborate with cross-functional teams to deliver clean datasets for reporting.
- Create Power BI dashboards and reports for stakeholders.
- Monitor and optimize data flows and ETL processes to ensure data integrity and availability.
- Implement automation and process improvements using VB Scripting, Python, or similar languages.
- Support web-based data solutions; web development experience (HTML, CSS, JavaScript) is a plus.
- Document data models and workflows for knowledge sharing and scalability.
- Communicate findings and recommendations to both technical and non-technical audiences.
- Stay updated on trends in data engineering, analytics, and visualization tools.
What We're Looking For
- Bachelor’s degree in computer science, IT, Data Science, or a related field.
- 3–4 years’ experience with SQL databases, data pipelines, and ETL.
- Strong SQL skills in database design, optimization, and queries.
- Experience with Power BI for report and dashboard development.
- Knowledge of data warehousing concepts and excellent analytical skills.
- Effective communication and self-motivation with commitment to ongoing learning.
Key skills/competency
- SQL
- Data Pipelines
- ETL
- Power BI
- Data Warehousing
- Python
- VB Scripting
- HTML/CSS/JavaScript
- Analytics
- Reporting
How to Get Hired at Danfoss
🎯 Tips for Getting Hired
- Customize resume: Highlight SQL and ETL experience.
- Showcase projects: Include Power BI and automation work.
- Research Danfoss: Understand their products and innovations.
- Prepare technical tests: Refresh SQL and Python skills.
📝 Interview Preparation Advice
Technical Preparation
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Practice advanced SQL queries.
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Review ETL process optimization techniques.
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Brush up on Power BI dashboard creation.
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Study Python and VB Scripting basics.
Behavioral Questions
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Describe a data challenge faced.
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Discuss teamwork in data projects.
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Explain decision-making with data.
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Share a learning from project setbacks.