Data Analyst | SQL & Python | Bangalore | Immediate joiner
Bandhan Technologies Bengaluru, Karnataka, India
Job Description
"Unlock the secrets of data-driven decision making as a Data Analyst at Bandhan Technologies, where you'll transform complex media data into actionable insights."
As a Data Analyst at Bandhan Technologies, you'll play a pivotal role in driving business growth through data-driven insights. With hands-on experience in SQL, Python, and Business Intelligence tools, you'll develop and maintain interactive client-facing dashboards, build scalable reporting frameworks, and deliver accurate, actionable business insights.
If you're passionate about data analysis, have a keen eye for detail, and enjoy working with paid media platforms, this role is perfect for you. You'll work closely with analytics, media activation, and client teams to ensure high-quality reporting and drive business success.
Why you should learn this:
The demand for skilled Data Analysts is on the rise, with an estimated 14% growth in the next 2 years. In Bangalore, the average salary for a Data Analyst is ₹800,000 - ₹1,200,000 per annum.
Expected Salary: As a Data Analyst at Bandhan Technologies, you can expect a competitive salary package, including benefits like health insurance, retirement plans, and paid time off.
How it works:
- Step 1: Develop a deep understanding of the client's business goals and objectives.
- Step 2: Collect, analyze, and visualize complex media data using SQL, Python, and Business Intelligence tools.
Core Concepts to Master
Data Wrangling
Learn to collect, clean, and preprocess large datasets using Python libraries like Pandas and NumPy, and SQL queries to ensure data quality and accuracy.
Data Visualization
Discover the art of creating interactive and informative dashboards using modern Business Intelligence tools like Tableau, Power BI, or D3.js to communicate insights effectively.
SQL Query Optimization
Master the skills to write efficient and scalable SQL queries that can handle large datasets, reducing processing time and improving data retrieval.
Interview Questions (Beginner)
- What is your experience with SQL and Python?
- Can you describe a time when you had to analyze a complex dataset?
- How do you stay up-to-date with the latest trends and tools in data analysis?
Job Overview
Advance Questions
- • How would you approach data storytelling to communicate insights to stakeholders?
- • Can you design a scalable data architecture to handle large datasets?
- • How do you ensure data quality and accuracy in your analysis?