Interviewer: You mentioned that you had reduced cloud storage costs by 50%.

Candidate: Yeah!

Interviewer: How?

Candidate: 𝐃𝐄𝐋𝐄𝐓𝐄 * 𝐟𝐫𝐨𝐦 𝐂𝐔𝐒𝐓𝐎𝐌𝐄𝐑𝐒 𝐰𝐡𝐞𝐫𝐞 𝐢𝐝%𝟐==𝟎

Kaggle Datasets are often too perfect for real-world scenarios.

I'm about to share a method for real-life data analysis.

You see …

… most of the time, a data analyst cleans and transforms data.

So … let’s practice that.

How?

Well … you can use ChatGPT.

Just write this prompt:

Create a downloadable CSV dataset of 10,000 rows of financial credit card transactions with 10 columns of customer data so I can perform some data analysis to segment customers.

Now…

Download the dataset and start your analysis.

You'll see that, most of the time…

… numbers don’t match.

There are no patterns.

Data is incorrect and doesn’t make sense.

And that’s good.

Now you know what a data analyst deals with.

Your job is to make sense of that dataset.

To create a story that justifies the numbers.

This is how you can mimic real-life work using A.I.

Company: Emerson!
Position: Data Analyst
Salary: 6 - 8 LPA (Expected)
Experience: Freshers (0 - 2 Years)

https://hdjq.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/23013268

Here’s a list of companies that are offering internships in the United States:

Peerlogic – Data Analyst Intern
GuidewireRx – ML Intern
The Centers – Data Analytics Intern
W. R. Berkley – Data Science Intern
Dyania Health – NLP Intern
Royal Cyber – Data Scientist Intern

Where do you go to find remote jobs 👇👇
https://t.me/jobinterviewsprep/64

Accenture is hiring!
Position: Power BI Developer
Qualification: Bachelor's/ Master’s Degree
Salary: 6 - 10 (Expected)
Experience: Freshers/ Experienced
Location: Hyderabad

📌Apply Now:
https://www.accenture.com/in-en/careers/jobdetails?id=ATCI-R1-S1582762_en

👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

👉Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5

Like for more ❤️

Narvar is hiring for data analyst

Exp Required: 2+ year

https://job-boards.greenhouse.io/narvar/jobs/6132782?gh_src=fa3ccd361us

Hello everyone!

Today, I won't be posting any new content. Instead, I'd like to encourage you to focus on these key areas:

Resume Format: Ensure your resume is up-to-date and highlights your skills effectively.

Project Portfolio: Showcase your best projects to demonstrate your expertise.

Networking: Connect with professionals in your field to build valuable relationships.

Upskilling: Continuously learn and enhance your skills to stay competitive.

Self-Preparation for Interviews: Practice and prepare thoroughly to excel in your interviews.

Take this time to work on these important aspects and set yourself up for succes

give us if your okay 👍

Beware of any recruiter who asks for money for interview scheduling, certification, or references etc. This is a clear sign of a scam and a fake hiring process.

- No Payment Required: In the IT industry, you should never have to make any kind of payment to get hired. Legitimate companies and recruiters do not charge candidates for job opportunities.

- Third-Party Agencies: Even when you are working with third-party agencies, these agencies charge the employer (their clients), not you.

Red Flags to Identify Scams:

- Payment Requests: If a recruiter asks for money at any stage, it is likely a scam.

- Unverified Contacts: Be cautious if the recruiter’s contact information or company details cannot be verified.

- Pressure Tactics: Scammers often use urgency or pressure tactics to get you to pay quickly.

Always remember: never pay for a job opportunity. If a recruiter or agency asks for money, it is a scam. Stay away and protect yourself from fraudulent practices.

Puretech Hiring for Data Analyst

Location: Kurla-Phoenix Marketcity (WFO, 5 days a week)

Responsibilities:
Manage analytics using GTM, Google Analytics, Looker Studio, and BigQuery.
Create visualizations and presentations.
Identify actionable insights.

Qualifications:
1-2 years of experience as a Data Analyst.
Proficiency in GTM, Google Analytics, Looker Studio, BigQuery, and SQL.
Strong analytical and communication skills.

Apply: Send your resume to ankita.gulve@puretech.com.

KPMG hiring Data Engineer
Experience: Freshers
https://ejgk.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/INTG10019786

GlobalNodes Hiring Freshers !!

Role - Data Scientist - Freshers (0-1 year experience)

Location: [Gurugram]

Looking for passionate and motivated freshers to join the team as Data Scientists. The ideal candidates should have a strong foundation in data analysis, statistical methods, and machine learning. Familiarity with Python, R, and data visualization tools is a plus. This is a great opportunity to kick-start your career in data science with hands-on experience and mentorship.

Please email your resume at avijit.swain@globalnodes.ai

https://usource.ripplehire.com/candidate/?token=8YxWjpwDhdL62DFYUIcQ&lang=en&source=USTLINKEDIN&ref=USTLINKEDIN#detail/job/22616
👨‍💻 Data Analyst
💼 0 - 2 Years
📍Bangalore
🧑‍🏫 Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics, Mathematics, Human Resources Management or related field.

Flint Group is hiring Data Analyst

Apply Link: https://recruiting.paylocity.com/Recruiting/Jobs/Details/2601021

Location: Kansas City, Missouri

Key Experience / Qualifications

2+ years of experience working with business analytics systems / data visualization tools (PowerBI, Tableau, etc.)
4 year degree, with a focus in business analytics, business, accounting, or finance
Proficiency in Microsoft Excel
Collecting, analyzing, and interpreting financial and operational data to drive actionable insights and recommendations
Strong communication skills, with the ability to effectively communicate progress, results, and recommendations to stakeholders at all levels

👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

👉Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5

Like for more ❤️

All the best 👍👍

Coinbase is hiring Senior Data Analyst

Apply Link: https://www.coinbase.com/careers/positions/6020923?gh_jid=6020923

What we look for in you (ie. job requirements): 
5+ years of relevant experience
Advanced SQL and data modeling skills, Python experience a plus
Proficient using at least one data visualization product (Looker, Tableau, QuickSight, etc.)
Excellent written and verbal communication skills are required, including experience meeting with and communicating information to senior leadership
Highly collaborative, with an ability to optimally secure inputs from many cross-functional partner teams
Ability to think strategically, formulate appropriate analytical solutions, and execute in order to solve business needs

Pay Range: $162,350—$191,000 USD

👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

👉Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5

Like for more ❤️

All the best 👍👍

How to annoy a data analyst in 2024:


☑ Assume the analysis you're asking is "just a quick SQL thing."
☑ Ask to "tweak" a finished dashboard. It's never just a small change.
☑ Question why the numbers in their carefully crafted dashboard don't match your hastily pulled spreadsheet.
☑ Assume all data is clean, structured, and readily available. Spoiler: it's not.
☑ After receiving a detailed, interactive dashboard, ask, "Can I just get this as a printable PDF?" 🤦🏽♂️🤦🏽♂️

Internship Opportunity

6 months Data Analyst Internship at Emittr

Batch : 2024 passouts

Link : send your resume and details at afreen.naz@emitrr.com

Hiring! Data Engineer at Jubilant FoodWorks 🚀
Be a key player in our Analytics & Insights team, building scalable data infrastructure and optimizing ETL processes.

With 3-5 years of experience in data platforms, AWS big data technologies, and strong programming skills in SQL, Python, and Scala

Apply at: garima.arora@jublfood.com

Top 5 Case Studies for Data Analytics: You Must Know Before Attending an Interview



1. Retail: Target's Predictive Analytics for Customer Behavior
Company: Target
Challenge: Target wanted to identify customers who were expecting a baby to send them personalized promotions.
Solution:
Target used predictive analytics to analyze customers' purchase history and identify patterns that indicated pregnancy.
They tracked purchases of items like unscented lotion, vitamins, and cotton balls.
Outcome:
The algorithm successfully identified pregnant customers, enabling Target to send them relevant promotions.
This personalized marketing strategy increased sales and customer loyalty.

2. Healthcare: IBM Watson's Oncology Treatment Recommendations
Company: IBM Watson
Challenge: Oncologists needed support in identifying the best treatment options for cancer patients.
Solution:
IBM Watson analyzed vast amounts of medical data, including patient records, clinical trials, and medical literature.
It provided oncologists with evidencebased treatment recommendations tailored to individual patients.
Outcome:
Improved treatment accuracy and personalized care for cancer patients.
Reduced time for doctors to develop treatment plans, allowing them to focus more on patient care.

3. Finance: JP Morgan Chase's Fraud Detection System
Company: JP Morgan Chase
Challenge: The bank needed to detect and prevent fraudulent transactions in realtime.
Solution:
Implemented advanced machine learning algorithms to analyze transaction patterns and detect anomalies.
The system flagged suspicious transactions for further investigation.
Outcome:
Significantly reduced fraudulent activities.
Enhanced customer trust and satisfaction due to improved security measures.

4. Sports: Oakland Athletics' Use of Sabermetrics
Team: Oakland Athletics (Moneyball)
Challenge: Compete with larger teams with higher budgets by optimizing player performance and team strategy.
Solution:
Used sabermetrics, a form of advanced statistical analysis, to evaluate player performance and potential.
Focused on undervalued players with high onbase percentages and other key metrics.
Outcome:
Achieved remarkable success with a limited budget.
Revolutionized the approach to team building and player evaluation in baseball and other sports.

5. Ecommerce: Amazon's Recommendation Engine
Company: Amazon
Challenge: Enhance customer shopping experience and increase sales through personalized recommendations.
Solution:
Implemented a recommendation engine using collaborative filtering, which analyzes user behavior and purchase history.
The system suggests products based on what similar users have bought.
Outcome:
Increased average order value and customer retention.
Significantly contributed to Amazon's revenue growth through crossselling and upselling.