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Data Analysts, ETL, SQL, Informatica

Infosys Hyderabad, Telangana, India

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Job Description

"Unlock the power of data analysis and ETL development with Informatica, and take your career to new heights as a Data Analyst at Infosys."

As a Data Analyst at Infosys, you will play a critical role in analyzing complex data sets, designing and implementing ETL processes using Informatica, and providing actionable insights to clients.

With a strong foundation in SQL and experience with panel data analysis, you will be responsible for ensuring high-quality data delivery, resolving technical issues, and driving customer satisfaction.

Why you should learn this:

The demand for skilled Data Analysts with Informatica expertise is on the rise, with a projected 14% growth in the next 5 years.

Expected Salary: According to industry reports, the average salary for a Data Analyst at Infosys is between $80,000 and $110,000 per annum, depending on experience and location.

How it works:

  • Step 1: Gather and analyze data from various sources using SQL and Informatica tools.
  • Step 2: Design and implement ETL processes to extract, transform, and load data into target systems.

Core Concepts to Master

1

ETL Development with Informatica

Learn the fundamentals of ETL development using Informatica, including data mapping, data transformation, and data loading.

2

SQL Query Optimization

Understand how to optimize SQL queries for better performance, including indexing, caching, and query rewriting.

3

Panel Data Analysis

Learn how to analyze panel data using statistical techniques, including regression analysis, time-series analysis, and data visualization.

Interview Questions (Beginner)

  • What is ETL development, and how does it relate to data analysis?
  • Can you explain the difference between Informatica and other ETL tools?
  • How do you optimize SQL queries for better performance?

Job Overview

CompanyInfosys
Employment TypeFull-time
LocationHyderabad, Telangana, India
Experience LevelFresher

Advance Questions

  • Design an ETL process using Informatica to extract data from a relational database and load it into a data warehouse.
  • Explain the concept of data mart and its benefits in data analysis.
  • Can you describe a scenario where panel data analysis would be useful, and how you would approach it?