Opportunities in Data Analytics and AI Engineering Roles

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1. Microsoft hiring Research Science (Internship)

https://lnkd.in/dq9ZpacK

2. EY is hiring Analyst

https://lnkd.in/df6AjXMy

3. Amazon is hiring Business Analyst

https://lnkd.in/dvTeJ8j4

4. Infosys is hiring Business Analyst

https://lnkd.in/dPgZNdAz

5. BCG X hiring AI Engineer

https://lnkd.in/db-SDfkN

6. PwC is hiring Business Analyst

https://lnkd.in/dSzSxPZu

7. Deloitte is hiring Business Analyst

https://lnkd.in/dtB7V7jF

8. Cisco is hiring Business Analyst

https://lnkd.in/di6BTRNq

9. PhonePe hiring Business Analyst

https://lnkd.in/d-EZH3iZ

10. LTIMindtree hiring Data Analyst

https://lnkd.in/d6DyXSYV

11. Infosys hiring Data Analyst

https://lnkd.in/davxcQdr

12. Stellantis is hiring Business Analyst

https://lnkd.in/dmNYxbH6

  1. IDFC FIRST Bank is hiring Manager-Portfolio Data Analytics
    https://lnkd.in/d36jUQUA

You Should Know:

Essential Data Analytics & AI Engineering Skills

1. Python for Data Analysis

 Pandas for data manipulation 
import pandas as pd 
df = pd.read_csv('data.csv') 
print(df.head())

NumPy for numerical operations 
import numpy as np 
array = np.array([1, 2, 3]) 
print(array.mean()) 

2. SQL for Database Queries

-- Basic query 
SELECT  FROM employees WHERE salary > 50000;

-- Aggregation 
SELECT department, AVG(salary) FROM employees GROUP BY department; 

3. Power BI / Tableau for Visualization

  • Import datasets into Power BI
  • Create interactive dashboards
  • DAX formulas for advanced metrics

4. Linux Commands for Data Processing

 Filter logs 
grep "error" /var/log/syslog

Process JSON data 
jq '.key' file.json

Analyze disk usage 
df -h 

5. Windows PowerShell for Automation

 Export processes to CSV 
Get-Process | Export-Csv -Path "processes.csv"

Check system info 
systeminfo 

6. AI & Machine Learning Basics

 Scikit-learn model training 
from sklearn.linear_model import LinearRegression 
model = LinearRegression() 
model.fit(X_train, y_train) 

What Undercode Say:

The demand for Data Analysts, AI Engineers, and Business Analysts is rapidly growing. Mastering Python, SQL, and visualization tools is crucial. Companies like Microsoft, Amazon, and Infosys seek professionals who can manipulate data, derive insights, and automate workflows.

Additional Linux & IT Commands:

 Monitor network traffic 
sudo tcpdump -i eth0

Check running services 
systemctl list-units --type=service

Secure file transfer 
scp file.txt user@remote:/path/ 
 Windows network diagnostics 
Test-NetConnection -ComputerName google.com -Port 80

List installed software 
Get-WmiObject -Class Win32_Product 

Expected Output:

A structured guide for job seekers in data analytics and AI engineering, covering essential tools, commands, and career resources.

References:

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