Data Analyst Jobs
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Walmart is hiring Data Analyst πŸš€

Qualification : Bachelor's degree
Experience : Freshers / Experienced
Skills : Excel , SQL and PowerBI

Apply link : https://www.linkedin.com/jobs/view/4140699122

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Goldman Sachs senior data analyst interview asked questions

SQL

1 find avg of salaries department wise from table
2 Write a SQL query to see employee name and manager name using a self-join on 'employees' table with columns 'emp_id', 'name', and 'manager_id'.
3 newest joinee for every department (solved using lead lag)

POWER BI

1. What does Filter context in DAX mean?
2. Explain how to implement Row-Level Security (RLS) in Power BI.
3. Describe different types of filters in Power BI.
4. Explain the difference between 'ALL' and 'ALLSELECTED' in DAX.
5. How do you calculate the total sales for a specific product using DAX?

PYTHON

1. Create a dictionary, add elements to it, modify an element, and then print the dictionary in alphabetical order of keys.
2. Find unique values in a list of assorted numbers and print the count of how many times each value is repeated.
3. Find and print duplicate values in a list of assorted numbers, along with the number of times each value is repeated.

I have curated best 80+ top-notch Data Analytics Resources πŸ‘‡πŸ‘‡
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Amazon - Work From Home
Position: Central Operations Support Executive
Qualification: Bachelor’s Degree
Salary: 35K Per Month (Expected)
Experiencο»Ώe: Freshers/ Experienced
Location: Work From Home

πŸ“ŒApply Now: https://www.amazon.jobs/en/jobs/2879191/central-operations-support-executive-in-external-fulfillment

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SPRINKLR is Hiring for DATA QUALITY ANALYST

Role:- DATA QUALITY ANALYST

Fresher's and Experienced

Apply Now:- https://sprinklr.wd1.myworkdayjobs.com/en-US/careers/job/India---Haryana---Gurgaon/Data-Quality-Analyst_110030-JOB

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Walmart is hiring!
Position: Data Analyst - Power BI
Qualifications: Bachelor’s Degree
Salary: 6 - 15 LPA (Expected)
Experience: Freshers
Location: Chennai, India

πŸ“ŒApply Now: https://walmart.wd5.myworkdayjobs.com/WalmartExternal/job/IN-TN-CHENNAI-Home-Office-TECCI-Park/Data-Analyst-II_R-2051208/

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EY is hiring!
Position: Entry-Level Data Analytics
Qualifications: Any Graduate
Experience: Freshers
Location: India

πŸ“ŒApply Now: https://eyglobal.yello.co/jobs/Dzhe48Noe6Yr6-gHzK0aJA?job_board_id=c1riT--B2O-KySgYWsZO1Q

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UnisLink is hiring Data Analyst πŸš€

Experience : 0-5 Years
Location : Remote ( USA )

Apply link : https://app.dover.com/apply/unislink/7e6b47b1-66ec-486f-83fa-2ee3824f096c?rs=42706078

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PINKERTON is Hiring for DATA ANALYST

Role:- DATA ANALYST

Experience:- Fresher's and Experienced

Apply Now:- https://pinkerton.com/job/PINKERTONR5471/data-analyst

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Company Name: Startree
Role : Data Operations Specialist
Batch : 2022/2021/2020 passouts

Link : https://job-boards.greenhouse.io/startree/jobs/5424978004?gh_src=8cbc250e4us

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Razorpay is hiring Junior Analyst πŸš€

Qualification : Any Graduate
Experience : 0-3 Years
Location : Bangalore

Apply link : https://job-boards.greenhouse.io/razorpaysoftwareprivatelimited/jobs/4524264005

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Company Name: Varite
Role: Data Analyst
Experience: 5+ years
Location: Gurgaon (Hybrid)
Budget: Up to 9.5 LPA
Key Skills: Finance Domain (AP, AR, R2R), Data Analysis, Large Data Models, Excel, VB & Macro, Power BI, Tableau, Power Automate, Project Management, Communication Skills

Apply: Poornima.RR@varite.com
Bamboo Insurance is hiring Data Analyst πŸš€

Experience : 0-4 Years
Location : Remote (USA)

Apply link : https://www.linkedin.com/jobs/view/4143464302

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Company Name: Quess Corp
Role: Data Analyst
Experience: 4-8 Years
Location: Hyderabad (WFO - Hybrid)
Key Skills: Tableau, SQL, Python, AWS

Apply: Aakriti.Jaiswal@quesscorp.com
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π‚π¨π π§π’π³πšπ§π­ - 𝐖𝐨𝐫𝐀 𝐟𝐫𝐨𝐦 π‡π¨π¦πž (𝐇𝐲𝐛𝐫𝐒𝐝)
Position: Trainee - Junior Data Analyst
Qualification: Bachelor’s/ Master’s Degree
Salary: 4.8 - 7.3 LPA (Expected)
Experiencο»Ώe: Freshers (0 - 3 Years)
Location: Work From Home/ Office

πŸ“ŒApply Now: https://careers.cognizant.com/india-en/jobs/00061975521/trainee-junior-data-analyst/

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Capgemini is hiring!
Position: PL/SQL Developer
Qualification: Bachelor’s/ Master’s Degree
Salary: 4 - 9 LPA (Expected)
Experiencο»Ώe: Freshers/ Experienced
Location: Bangalore, India

πŸ“ŒApply Link: https://www.capgemini.com/in-en/jobs/86636-en_GB+sap_btp/

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πŸš€ Planning to study abroad in 2025?

Join this free webinar session to get a complete roadmapβ€”applications, scholarships, and more!

Interested?

Register now!πŸ‘‡πŸ‘‡
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𝐆𝐄 π€πžπ«π¨π¬π©πšπœπž 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐑𝐒𝐩, πŸπŸŽπŸπŸ“!
Positio: Analytics - Intern
Qualification: Bachelor’s/ Master’s Degree
Salary: β‚Ή 30,000 - β‚Ή 50,000 Per Month (Expected)
Batch: 2024/ 2025/ 2026/ 2027
Experienc: Freshers
Locatio: Bengaluru, India

πŸ“ŒApply Now: https://careers.geaerospace.com/global/en/job/R5002156/Analytics-Intern

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JLL is hiring Research Analyst πŸš€

Qualification : Bachelor's degree
Freshers are eligible βœ…
Location : Gurugram

Apply link : https://jll.wd1.myworkdayjobs.com/jllcareers/job/Gurugram-HR/Analyst---Research_REQ396454

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Strive Health is hiring Data Analyst πŸš€

Qualification : Bachelor's degree
Freshers are eligible βœ…
Location : Remote ( USA )

Apply link : https://www.linkedin.com/jobs/view/4142392676

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Want to become a Data Analyst?

Here’s a roadmap with essential skills, tools & concepts you’ll need to master:

1. Data Fundamentals

Statistics: Learn descriptive statistics (mean, median, mode), distributions, hypothesis testing, and correlation.

Probability: Understand basic probability theory, including conditional probability, Bayes’ theorem, and probability distributions.

2. Data Cleaning

Data Cleaning Techniques: Handling missing values, removing duplicates, and outlier detection.

Data Transformation: Data type conversions, feature engineering, and handling categorical variables.

Pandas: Master data manipulation with Pandas (merge, join, group, pivot).

3. Data Visualization

Data Visualization Libraries: Master Matplotlib, Seaborn, or Plotly for Python-based visualizations.

Power BI / Tableau: Get hands-on with BI tools to create interactive dashboards and visual reports.

Design Principles: Learn best practices for designing clear, effective visualizations.

4. SQL for Data Analysis

Basic SQL: SELECT, WHERE, ORDER BY, GROUP BY, JOINs.

Advanced SQL: Window functions, Common Table Expressions (CTEs), subqueries.

Aggregation Functions: SUM, AVG, MIN, MAX, COUNT.

Data Cleaning with SQL: Filtering, transforming, and merging data in SQL databases.

5. Excel for Data Analysis

Data Cleaning in Excel: Use functions like TRIM, CLEAN, SUBSTITUTE.

Advanced Functions: VLOOKUP, HLOOKUP, INDEX-MATCH, IF, SUMIF, COUNTIF.

Data Visualization in Excel: Create pivot tables, charts, and dashboards.

6. Programming for Data Analysis (Python or R)

Python: Learn data handling and manipulation with Pandas and NumPy.

R: Basic syntax, data manipulation with dplyr, and data visualization with ggplot2.

Data Analysis Libraries: Pandas, NumPy, SciPy for Python or Tidyverse for R.

7. Exploratory Data Analysis (EDA)

Pattern Recognition: Use EDA to identify patterns, trends, and correlations in data.

Visual EDA: Use pair plots, heatmaps, and distribution plots for insights.

Summary Statistics: Understand distributions, variance, and central tendencies of variables.

8. Business Acumen

Domain Knowledge: Understand the industry-specific metrics relevant to your target job (e.g., finance, marketing, e-commerce).

Data Storytelling: Learn to communicate findings clearly and effectively, connecting insights to business goals.

KPI Analysis: Identify and measure key performance indicators for informed decision-making.

9. Data Collection & Sourcing

APIs: Learn to pull data from APIs (e.g., REST APIs) using tools like Python’s Requests library.

Web Scraping: Use tools like BeautifulSoup and Scrapy (be mindful of ethics and legality).

Database Connections: Query databases and integrate SQL with Python or R for more extensive analyses.

10. Dashboarding and Reporting

Power BI / Tableau: Master the basics of dashboard design, interactivity, and sharing insights with stakeholders.

Reporting Best Practices: Design reports that are clear, actionable, and easy for non-technical stakeholders to interpret.


11. Soft Skills

Communication: Clearly present data insights and recommendations to stakeholders.

Critical Thinking: Approach problems analytically to uncover insights.

Collaboration: Learn how to work effectively within cross-functional teams, especially with non-technical colleagues.

Top-notch Data Analytics Resources

How to become a Data Analyst in 2025

Free Resources to learn Data Analytics

Data Analyst Learning Plan

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