𝐒&𝐏 𝐆𝐥𝐨𝐛𝐚𝐥 𝐢𝐬 𝐡𝐢𝐫𝐢𝐧𝐠 𝐅𝐫𝐞𝐬𝐡𝐞𝐫𝐬!
Position: Apprentice, Data Management
Qualifications: Graduate/ Post Graduation/ MBA
Salary: 4 - 6 LPA (Expected)
Batch: 2023/ 2024/ 2025/ 2026
Experience: Freshers
Location: Bangalore; Gurgaon; Mumbai, India

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Teamware Solutions is hiring Data Analyst 🚀

Experience : 0-2 Years
Location : Mumbai

Apply link : https://www.linkedin.com/jobs/view/4251292992

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Wells Fargo is hiring!
Position: Data & Analytics, Analytics Associate
Qualifications: Bachelor’s/ Master’s Degree
Salary: 8 - 10 LPA (Expected)
Experience: Entry Level
Location: Bangalore, India

📌Apply Now: https://www.wellsfargojobs.com/en/jobs/r-464891/global-payments-analytics-associate/

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VEGROW is hiring Data Analyst 🚀

Experience : 1 Year
Location :; Bangalore

Apply link : https://www.linkedin.com/jobs/view/4251496319

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Acuity knowledge Partners is hiring Data Analyst 🚀

Experience : 0-3 Years
Location : Gurugram

Apply link : https://acuitykp.darwinbox.com/ms/candidate/careers/a684f97d0db874

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Razorpay is hiring!
Position: Analytics Specialist
Qualifications: Bachelor’s/ Master’s Degree
Salary: 5 - 12 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore, India

📌Apply Now: https://razorpay.com/jobs/jobs-all/detail/?gh_jid=4576150005

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Slice is hiring Analytics Intern 🚀

Skills : SQL & Python
Experience : Freshers
Location : Bangalore

Apply link : https://www.linkedin.com/jobs/view/4251662280

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American Express is hiring Data Analyst 🚀

Experience : 1-2 Year
Location : Gurugram

Apply link : https://aexp.eightfold.ai/careers/job/29141108?hl=en&utm_source=linkedin&domain=aexp.com

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NatWest Group is hiring!
Position: Business Analyst
Qualifications: Bachelor’s/ Master’s/ MBA
Salary: 6 - 9 LPA (Expected)
Experience: Freshers/ Experienced
Location: Chennai; Gurugram, India (Hybrid)

📌Apply Now: https://jobs.natwestgroup.com/jobs/16087836-business-analyst

https://jobs.natwestgroup.com/jobs/15760012-business-analyst

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DeHaat is hiring Analytics Intern 🚀

Freshers are eligible
Location : Gurugram

Apply link: https://www.linkedin.com/jobs/view/4251122030

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Data Analyst Interview Questions with Answers

Q1: How do you ensure data consistency and integrity in a data warehousing environment?

Ans: I implement data validation checks, use constraints like primary and foreign keys, and ensure that ETL processes have error-handling mechanisms. Regular audits and data reconciliation processes are also set up to ensure data accuracy and consistency.

Q2: Describe a situation where you had to design a star schema for a data warehousing project.

Ans: For a retail sales data warehousing project, I designed a star schema with a central fact table containing sales transactions. Surrounding this were dimension tables like Products, Stores, Time, and Customers. This structure allowed for efficient querying and reporting of sales metrics across various dimensions.

Q3: How would you use data analytics to assess credit risk for loan applicants?

Ans: I'd analyze the applicant's financial history, including credit score, income, employment stability, and existing debts. Using predictive modeling, I'd assess the probability of default based on historical data of similar applicants. This would help in making informed lending decisions.

Q4: Describe a situation where you had to ensure data security for sensitive financial data.

Ans: While working on a project involving customer transaction data, I ensured that all data was encrypted both at rest and in transit. I also implemented role-based access controls, ensuring that only authorized personnel could access specific data sets. Regular audits and penetration tests were conducted to identify and rectify potential vulnerabilities.

React ❤️ for more

Gartner is hiring!
Position: Associate Data Engineer
Qualifications: Bachelor's/ Master’s Degree
Salary: 9 - 15 LPA (Expected)
Experience: Freshers/ Experienced
Location: Gurgaon, India

📌Apply Now: https://jobs.gartner.com/jobs/job/100508-associate-data-engineer/

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Uber is hiring Data Analyst!
Qualification: Bachelor's/ Master’s Degree
Salary: 7 - 12 LPA (Expected)
Experience: Freshers/ Experienced
Location: Hyderabad, India

📌Apply Now: https://www.uber.com/global/en/careers/list/144332/?uclick_id=897120ba-c8b3-4063-888c-dd8078b23545

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McKinsey is hiring!
Position: Junior Analyst
Qualification: Bachelor’s Degree/ MBA
Salary: 7 - 12 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bengaluru, India

📌Apply Now: https://www.mckinsey.com/careers/search-jobs/jobs/juniorcapabilitiesinsightsanalyst-riskresilience-98601

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📌Goldman Sachs is hiring for Data Engineer - Analyst
Experience: 1 year's
Expected Salary: 10 - 18 LPA
Apply here: https://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/LateralHiring/job/149322

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Xiaomi India hiring Data Engineer

Apply link: https://www.linkedin.com/jobs/view/4249597415

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Caterpillar is hiring!
Position: Business Analyst
Qualification: Bachelor’s/ Master’s Degree
Salary: 5.7 - 8 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore/ Chennai

📌Apply Link: https://careers.caterpillar.com/en/jobs/r0000309486/business-intelligence-analyst-1/

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Fi Money is hiring Business Analyst 🚀

Experience : 1 Year
Location : Bangalore

Apply link : https://jobs.lever.co/epifi/d24f5f30-688d-4abc-b0e5-4538e3d448da/apply

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Slice is hiring Business Analyst 🚀

Experience : 1 Year
Location : Bangalore

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Physics Wallah is hiring Business Analyst 🚀

Experience : 2 Years
Location : Mumbai

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If you're serious about getting into Data Science with Python, follow this 5-step roadmap.

Each phase builds on the previous one, so don’t rush.

Take your time, build projects, and keep moving forward.

Step 1: Python Fundamentals
Before anything else, get your hands dirty with core Python.
This is the language that powers everything else.

✅ What to learn:
type(), int(), float(), str(), list(), dict()
if, elif, else, for, while, range()
def, return, function arguments
List comprehensions: [x for x in list if condition]
– Mini Checkpoint:
Build a mini console-based data calculator (inputs, basic operations, conditionals, loops).

Step 2: Data Cleaning with Pandas
Pandas is the tool you'll use to clean, reshape, and explore data in real-world scenarios.

✅ What to learn:
Cleaning: df.dropna(), df.fillna(), df.replace(), df.drop_duplicates()
Merging & reshaping: pd.merge(), df.pivot(), df.melt()
Grouping & aggregation: df.groupby(), df.agg()
– Mini Checkpoint:
Build a data cleaning script for a messy CSV file. Add comments to explain every step.

Step 3: Data Visualization with Matplotlib
Nobody wants raw tables.
Learn to tell stories through charts.

✅ What to learn:
Basic charts: plt.plot(), plt.scatter()
Advanced plots: plt.hist(), plt.kde(), plt.boxplot()
Subplots & customizations: plt.subplots(), fig.add_subplot(), plt.title(), plt.legend(), plt.xlabel()
– Mini Checkpoint:
Create a dashboard-style notebook visualizing a dataset, include at least 4 types of plots.

Step 4: Exploratory Data Analysis (EDA)
This is where your analytical skills kick in.
You’ll draw insights, detect trends, and prepare for modeling.

✅ What to learn:
Descriptive stats: df.mean(), df.median(), df.mode(), df.std(), df.var(), df.min(), df.max(), df.quantile()
Correlation analysis: df.corr(), plt.imshow(), scipy.stats.pearsonr()
— Mini Checkpoint:
Write an EDA report (Markdown or PDF) based on your findings from a public dataset.

Step 5: Intro to Machine Learning with Scikit-Learn
Now that your data skills are sharp, it's time to model and predict.

✅ What to learn:
Training & evaluation: train_test_split(), .fit(), .predict(), cross_val_score()
Regression: LinearRegression(), mean_squared_error(), r2_score()
Classification: LogisticRegression(), accuracy_score(), confusion_matrix()
Clustering: KMeans(), silhouette_score()

– Final Checkpoint:

Build your first ML project end-to-end
✅ Load data
✅ Clean it
✅ Visualize it
✅ Run EDA
✅ Train & test a model
✅ Share the project with visuals and explanations on GitHub

Don’t just complete tutorialsm create things.

Explain your work.
Build your GitHub.
Write a blog.

That’s how you go from “learning” to “landing a job

Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624

All the best 👍👍