Accenture
Position: Customer Service New Associate
Qualifications: Any Graduation/ Bachelorโs Degree
Experience: 0 to 2 (Years)
Location: Bengaluru, India
๐Apply Link: https://www.accenture.com/in-en/careers/jobdetails?id=AIOC-S01635305_en&title=Customer+Service+New+Associate&c=car_glb_curateddailycondialogbox_12220771&n=otc_0621
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Position: Customer Service New Associate
Qualifications: Any Graduation/ Bachelorโs Degree
Experience: 0 to 2 (Years)
Location: Bengaluru, India
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Barracuda is hiring Data Analyst ๐
Min. Experience : 1 Year
Location : Bangalore
Apply link : https://jobs.jobvite.com/barracuda-networks-inc/job/oFU2zfwU?__jvst=Job+Board&__jvsd=LinkedIn
Min. Experience : 1 Year
Location : Bangalore
Apply link : https://jobs.jobvite.com/barracuda-networks-inc/job/oFU2zfwU?__jvst=Job+Board&__jvsd=LinkedIn
Jobvite
Barracuda Networks Inc. is looking for Data Analyst.
Barracuda Networks Inc. is looking for Data Analyst. Learn more or Jobvite a friend.
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Inidgo โ๏ธ is hiring Analyst ๐ฅ
Experience : 1-2 Years
Location : Gurgaon
Apply link : https://www.goindigo.in/careers/job-details/Analyst---Revenue-Planning-&-Analysis/9287.html
Experience : 1-2 Years
Location : Gurgaon
Apply link : https://www.goindigo.in/careers/job-details/Analyst---Revenue-Planning-&-Analysis/9287.html
www.goindigo.in
Job Details
Wide range of functional areas within IndiGo. Know More IndiGo Careers Join our 6E family and let your career take off. Search and Apply
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Position: Junior Data Science
Qualifications: Bachelorโs/ Masterโs degree
Experience: Freshers/ Experienced
Location: Bengaluru, India
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Position: Junior Data Science
Qualifications: Bachelorโs/ Masterโs degree
Experience: Freshers/ Experienced
Location: Bengaluru, India
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SymphonyAI - Internship!
Position: Apprentice - Data Analyst
Qualifications: Bachelorโs Degree
Experience: Freshers
Location: Bangalore, India
๐Apply Now: https://jobs.symphonyai.com/jobs/2967?lang=en-us
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Position: Apprentice - Data Analyst
Qualifications: Bachelorโs Degree
Experience: Freshers
Location: Bangalore, India
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Airbus Internship!
Position: Intern - Data Engineering
Qualifications: Bachelorโs/ Masterโs Degree
Experience: Freshers
Location: Bangalore, India
๐Apply Link: https://ag.wd3.myworkdayjobs.com/en-US/Airbus/job/Intern---Data-Engineering_JR10366673-1?locationCountry=c4f78be1a8f14da0ab49ce1162348a5e
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Position: Intern - Data Engineering
Qualifications: Bachelorโs/ Masterโs Degree
Experience: Freshers
Location: Bangalore, India
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๐๐ ๐๐๐ซ๐จ๐ฌ๐ฉ๐๐๐ ๐๐ง๐ญ๐๐ซ๐ง๐ฌ๐ก๐ข๐ฉ!
Position: Data Science Intern
Qualification: Bachelorโs/ Master's degree
Experience: Freshers
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Position: Data Science Intern
Qualification: Bachelorโs/ Master's degree
Experience: Freshers
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Rockwell Automation
Position: Graduate Engineer Trainee
Qualifications: Bachelorโs/ Masterโs Degree
Experience: Freshers (0-1 Years)
Location: Pune, India (Hybrid)
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Position: Graduate Engineer Trainee
Qualifications: Bachelorโs/ Masterโs Degree
Experience: Freshers (0-1 Years)
Location: Pune, India (Hybrid)
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๐๐
Position: Associate Analyst
Qualifications: Graduate/ Postgraduate
Experience: Freshers (0 - 2 Years)
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Position: Associate Analyst
Qualifications: Graduate/ Postgraduate
Experience: Freshers (0 - 2 Years)
Location: India
๐Apply Now: https://careers.ey.com/ey/job/Kochi-Associate-Analyst-BRIDGE-Research-Independence-KL-682313/1388386933/
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Wahrify is hiring Data Quality Intern (remote)
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10 Steps to Landing a High Paying Job in Data Analytics
1. Learn SQL - joins & windowing functions is most important
2. Learn Excel- pivoting, lookup, vba, macros is must
3. Learn Dashboarding on POWER BI/ Tableau
4. โ Learn Python basics- mainly pandas, numpy, matplotlib and seaborn libraries
5. โ Know basics of descriptive statistics
6. โ With AI/ copilot integrated in every tool, know how to use it and add to your projects
7. โ Have hands on any 1 cloud platform- AZURE/AWS/GCP
8. โ WORK on atleast 2 end to end projects and create a portfolio of it
9. โ Prepare an ATS friendly resume & start applying
10. โ Attend interviews (you might fail in first 2-3 interviews thats fine),make a list of questions you could not answer & prepare those.
Give more interview to boost your chances through consistent practice & feedback ๐๐
1. Learn SQL - joins & windowing functions is most important
2. Learn Excel- pivoting, lookup, vba, macros is must
3. Learn Dashboarding on POWER BI/ Tableau
4. โ Learn Python basics- mainly pandas, numpy, matplotlib and seaborn libraries
5. โ Know basics of descriptive statistics
6. โ With AI/ copilot integrated in every tool, know how to use it and add to your projects
7. โ Have hands on any 1 cloud platform- AZURE/AWS/GCP
8. โ WORK on atleast 2 end to end projects and create a portfolio of it
9. โ Prepare an ATS friendly resume & start applying
10. โ Attend interviews (you might fail in first 2-3 interviews thats fine),make a list of questions you could not answer & prepare those.
Give more interview to boost your chances through consistent practice & feedback ๐๐
โค17๐3๐ฅ2๐1
American Express is hiring
Position: Analyst - Data Analytics
Qualifications: Bachelorโs/ Masterโs Degree/ MBA
Experience: Freshers/ Experienced
Location: Gurugram, India (Hybrid)
๐Apply Now: https://careers.americanexpress.com/en/sites/CX_1/jobs/preview/26007022/?location=India&keyword=Analyst-Data+Analytics&intlink=us-amex-career-en-us-search
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Position: Analyst - Data Analytics
Qualifications: Bachelorโs/ Masterโs Degree/ MBA
Experience: Freshers/ Experienced
Location: Gurugram, India (Hybrid)
๐Apply Now: https://careers.americanexpress.com/en/sites/CX_1/jobs/preview/26007022/?location=India&keyword=Analyst-Data+Analytics&intlink=us-amex-career-en-us-search
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Morning Star is hiring Data Analyst ๐
Experience : 0-1 Year
Location : Mumbai
Apply link : https://careers.morningstar.com/us/en/job/REQ-054488/Data-Analyst
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๐Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5
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Experience : 0-1 Year
Location : Mumbai
Apply link : https://careers.morningstar.com/us/en/job/REQ-054488/Data-Analyst
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IBM is hiring Business Operations Intern ๐
Location : Bangalore
Apply link : https://careers.ibm.com/en_US/careers/JobDetail/Business-Operations-Intern/112351
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Location : Bangalore
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Rockwell Automation
Position: Data Analyst
Qualifications: Bachelorโs Degree
Experience: Experienced
Location: Pune, India (Hybrid)
๐Apply Now: https://rockwellautomation.wd1.myworkdayjobs.com/en-US/External_Rockwell_Automation/job/Data-Analyst_R26-2881
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Position: Data Analyst
Qualifications: Bachelorโs Degree
Experience: Experienced
Location: Pune, India (Hybrid)
๐Apply Now: https://rockwellautomation.wd1.myworkdayjobs.com/en-US/External_Rockwell_Automation/job/Data-Analyst_R26-2881
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Hey guys,
Today, Iโm covering some Excel interview questions that often pop up in data analyst roles ๐๐
1. What are the most common functions used in Excel for data analysis?
- SUM(): Adds up values in a range.
- AVERAGE(): Finds the mean of a range of numbers.
- VLOOKUP() / XLOOKUP(): Searches for a value in a table and returns a related value.
- INDEX-MATCH: A more flexible alternative to VLOOKUP, allowing lookups in any direction.
- IF(): Performs logical tests and returns one value if TRUE, another if FALSE.
- COUNTIF(): Counts the number of cells that meet a specific condition.
- PivotTables: For summarizing, analyzing, and exploring large datasets.
2. What is the difference between VLOOKUP and XLOOKUP?
- VLOOKUP is an older function used to find data in a vertical column and return a value from another column to the right.
Example:
- XLOOKUP is more powerful, offering the flexibility to search both vertically and horizontally, and it doesnโt require the lookup value to be in the first column.
Example:
Tip: Explain the limitations of VLOOKUP (like not being able to search left or needing sorted data for approximate matches) and how XLOOKUP overcomes them.
3. How do you create a PivotTable in Excel, and why is it useful?
A PivotTable allows you to summarize large amounts of data quickly. Hereโs how to create one:
1. Select your data.
2. Go to the Insert tab and click on PivotTable.
3. Choose where to place the PivotTable.
4. Drag and drop fields into the Rows, Columns, Values, and Filters sections.
4. What is conditional formatting, and how do you use it?
Conditional formatting is used to change the appearance of cells based on their content. It helps highlight trends, patterns, and outliers.
For example, to highlight cells greater than 1000:
1. Select the range of cells.
2. Go to the Home tab, click on Conditional Formatting.
3. Choose Highlight Cell Rules > Greater Than and enter 1000.
4. Choose a format (e.g., cell color) to apply.
5. How do you handle large datasets in Excel without slowing it down?
Here are some strategies to improve efficiency:
- Turn off automatic calculations: Use manual recalculation to prevent Excel from recalculating formulas every time you make a change.
- Use fewer volatile functions: Functions like NOW(), TODAY(), and INDIRECT() recalculate every time a change is made.
- Use tables instead of ranges: Structured references in tables are more efficient.
- Split large datasets: If feasible, split your data across multiple sheets or workbooks.
- Remove unnecessary formatting: Too much formatting can bloat file size and slow down processing.
6. How do you use Excel for data cleaning?
Data cleaning is one of the first and most important steps in data analysis, and Excel provides multiple ways to do this:
- Remove duplicates: Easily eliminate duplicate entries.
- Text to Columns: Split data in one column into multiple columns (e.g., splitting full names into first and last names).
- TRIM(): Remove extra spaces from text.
- FIND() and SUBSTITUTE(): For locating and replacing specific characters or substrings.
7. What are some advanced Excel functions youโve used for data analysis?
Aside from the basics, some advanced Excel functions you might mention include:
- ARRAYFORMULA(): Allows multiple calculations to be performed at once.
- OFFSET(): Returns a range that is offset from a starting point.
- FORECAST(): Predicts future values based on historical data.
- POWER QUERY: For data extraction, transformation, and loading (ETL) tasks.
I have curated best 80+ top-notch Data Analytics Resources ๐๐
https://t.me/DataSimplifier
Like for more Interview Resources โฅ๏ธ
Share with credits: https://t.me/sqlspecialist
Hope it helps :)
Today, Iโm covering some Excel interview questions that often pop up in data analyst roles ๐๐
1. What are the most common functions used in Excel for data analysis?
- SUM(): Adds up values in a range.
- AVERAGE(): Finds the mean of a range of numbers.
- VLOOKUP() / XLOOKUP(): Searches for a value in a table and returns a related value.
- INDEX-MATCH: A more flexible alternative to VLOOKUP, allowing lookups in any direction.
- IF(): Performs logical tests and returns one value if TRUE, another if FALSE.
- COUNTIF(): Counts the number of cells that meet a specific condition.
- PivotTables: For summarizing, analyzing, and exploring large datasets.
2. What is the difference between VLOOKUP and XLOOKUP?
- VLOOKUP is an older function used to find data in a vertical column and return a value from another column to the right.
Example:
=VLOOKUP("A2", B2:D10, 3, FALSE)
- XLOOKUP is more powerful, offering the flexibility to search both vertically and horizontally, and it doesnโt require the lookup value to be in the first column.
Example:
=XLOOKUP(A2, B2:B10, C2:C10)
Tip: Explain the limitations of VLOOKUP (like not being able to search left or needing sorted data for approximate matches) and how XLOOKUP overcomes them.
3. How do you create a PivotTable in Excel, and why is it useful?
A PivotTable allows you to summarize large amounts of data quickly. Hereโs how to create one:
1. Select your data.
2. Go to the Insert tab and click on PivotTable.
3. Choose where to place the PivotTable.
4. Drag and drop fields into the Rows, Columns, Values, and Filters sections.
4. What is conditional formatting, and how do you use it?
Conditional formatting is used to change the appearance of cells based on their content. It helps highlight trends, patterns, and outliers.
For example, to highlight cells greater than 1000:
1. Select the range of cells.
2. Go to the Home tab, click on Conditional Formatting.
3. Choose Highlight Cell Rules > Greater Than and enter 1000.
4. Choose a format (e.g., cell color) to apply.
5. How do you handle large datasets in Excel without slowing it down?
Here are some strategies to improve efficiency:
- Turn off automatic calculations: Use manual recalculation to prevent Excel from recalculating formulas every time you make a change.
File > Options > Formulas > Calculation Options > Manual
- Use fewer volatile functions: Functions like NOW(), TODAY(), and INDIRECT() recalculate every time a change is made.
- Use tables instead of ranges: Structured references in tables are more efficient.
- Split large datasets: If feasible, split your data across multiple sheets or workbooks.
- Remove unnecessary formatting: Too much formatting can bloat file size and slow down processing.
6. How do you use Excel for data cleaning?
Data cleaning is one of the first and most important steps in data analysis, and Excel provides multiple ways to do this:
- Remove duplicates: Easily eliminate duplicate entries.
- Text to Columns: Split data in one column into multiple columns (e.g., splitting full names into first and last names).
- TRIM(): Remove extra spaces from text.
- FIND() and SUBSTITUTE(): For locating and replacing specific characters or substrings.
7. What are some advanced Excel functions youโve used for data analysis?
Aside from the basics, some advanced Excel functions you might mention include:
- ARRAYFORMULA(): Allows multiple calculations to be performed at once.
- OFFSET(): Returns a range that is offset from a starting point.
- FORECAST(): Predicts future values based on historical data.
- POWER QUERY: For data extraction, transformation, and loading (ETL) tasks.
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Learn from IIIT Bangalore & upGrad
๐ซ Beginner Friendly
๐ซ Industry Recognized Certificate
๐ซHigh Demand Career Skills
๐๐ผ๐ผ๐ธ ๐๐ฅ๐๐ ๐๐ผ๐๐ป๐๐ฒ๐น๐น๐ถ๐ป๐ด๐Now & explore your career roadmap
https://pdlink.in/4twH9xg
๐Top roles you can target:
* Data Analyst , AI Engineer ,Machine Learning Engineer & Data Scientist
๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ญ ๐ฏ๐ฌ. ๐๐๐ญ๐ ๐๐๐ข๐๐ง๐ญ๐ข๐ฌ๐ญ โ ๐๐ก๐๐ญโ๐ฌ ๐ญ๐ก๐ ๐๐ข๐๐๐๐ซ๐๐ง๐๐?
Whether you're starting a career in data or looking to pivot, itโs crucial to understand the key differences between a Data Analyst and a Data Scientist:
๐ ๐ ๐จ๐๐ฎ๐ฌ
Data Analyst: Interprets existing data to uncover insights.
Data Scientist: Predicts future trends using advanced models.
๐ ๏ธ ๐๐จ๐จ๐ฅ๐ฌ ๐๐ฌ๐๐
Data Analyst: Excel, SQL, Tableau
Data Scientist: Python, R, Machine Learning tools
๐ผ ๐๐ฒ๐ฉ๐ ๐จ๐ ๐๐จ๐ซ๐ค
Data Analyst: Reporting and dashboarding
Data Scientist: Building models and algorithms
๐ง ๐๐ค๐ข๐ฅ๐ฅ๐ฌ๐๐ญ
Data Analyst: Data cleaning, visualization
Data Scientist: Data-driven product development and strategy
Both roles are essentialโbut they serve different purposes. One tells you what happened, the other helps you decide what to do next.
Whether you're starting a career in data or looking to pivot, itโs crucial to understand the key differences between a Data Analyst and a Data Scientist:
๐ ๐ ๐จ๐๐ฎ๐ฌ
Data Analyst: Interprets existing data to uncover insights.
Data Scientist: Predicts future trends using advanced models.
๐ ๏ธ ๐๐จ๐จ๐ฅ๐ฌ ๐๐ฌ๐๐
Data Analyst: Excel, SQL, Tableau
Data Scientist: Python, R, Machine Learning tools
๐ผ ๐๐ฒ๐ฉ๐ ๐จ๐ ๐๐จ๐ซ๐ค
Data Analyst: Reporting and dashboarding
Data Scientist: Building models and algorithms
๐ง ๐๐ค๐ข๐ฅ๐ฅ๐ฌ๐๐ญ
Data Analyst: Data cleaning, visualization
Data Scientist: Data-driven product development and strategy
Both roles are essentialโbut they serve different purposes. One tells you what happened, the other helps you decide what to do next.
๐1