Data Analyst
Cognizant Bangalore Urban, Karnataka, India
Job Description
"Unlock the power of data-driven insights as a Data Analyst at Cognizant, where you'll transform complex datasets into actionable knowledge that drives business growth and innovation."
In this role, you'll leverage your expertise in Python, Excel, VBA macros, Tableau, and Power BI to extract valuable insights from large datasets, informing strategic decisions and process improvements across the organization.
As a Data Analyst at Cognizant, you'll work on high-impact projects, collaborating with cross-functional teams to design efficient reporting solutions, optimize data workflows, and drive sustainable growth.
Why you should learn this:
With the increasing demand for data-driven decision-making, the role of a Data Analyst is more in-demand than ever, offering opportunities for career growth and professional development.
Expected Salary: $60,000 - $110,000 per year, depending on experience and location.
How it works:
- Analyze complex business datasets using exploratory data analysis techniques to uncover trends, patterns, and anomalies.
- Develop robust data models and analytical frameworks in Python to standardize calculations and support business decisions.
Core Concepts to Master
Exploratory Data Analysis (EDA)
EDA is a process of summarizing and visualizing data to understand its distribution, relationships, and patterns. It involves using statistical and computational methods to identify anomalies, trends, and correlations, ultimately informing data-driven decisions.
Data Modeling with Python
Python is a popular programming language used for data analysis, machine learning, and visualization. As a Data Analyst, you'll use Python libraries like Pandas, NumPy, and Matplotlib to create robust data models, perform data manipulation, and generate reports.
Business Intelligence Tools (Tableau, Power BI)
Business intelligence tools like Tableau and Power BI enable users to connect to various data sources, create interactive dashboards, and share insights with stakeholders. As a Data Analyst, you'll use these tools to visualize data, identify trends, and inform business decisions.
Interview Questions (Beginner)
- What is exploratory data analysis, and how do you perform it?
- Can you explain the difference between correlation and causation?
- How do you handle missing data in a dataset?
Job Overview
Advance Questions
- • Design a data model to analyze customer purchase behavior using Python.
- • Create a dashboard to visualize sales trends using Tableau.
- • Develop a Python script to automate data cleaning and preprocessing.