The Ever-Changing Dynamics of Recruitment in IT: Bridging the Gap
📯
In the fast-paced world of IT recruitment, one thing remains constant: the elusive match between job requirements and candidates . 📌 ⛓
Often, just when the perfect candidate seems to be on the horizon, the job opening vanishes into thin air. 📯 📌 ⛓
Conversely, when the need for exceptional talent is urgent, suitable candidates are nowhere to be found.
To tackle this challenge head-on, I've created a solution that aims to streamline the process and ensure that no opportunity goes unnoticed.
Introducing a Google Form where all aspiring IT professionals can submit their CVs. 📌 ⛓
This centralized platform allows us to build a comprehensive database of talent across various job roles.📯
Why Submit Your CV?
By submitting your CV through this form, you become part of a proactive network. When relevant job openings arise, we proactively reach out to candidates whose profiles match the requirements. This proactive approach eliminates the frustration of missed opportunities and ensures that your CV is circulated precisely when it matters most.
Join Our Community
Stay updated with the latest job opportunities by joining my new Telegram channel. Receive instant notifications about job openings, industry insights, and career advice tailored specifically for IT professionals.📯 📌 ⛓
https://lnkd.in/eyteyAKc
Submit Your CV Today
Ready to take the next step in your IT career?
Fill out the form below to submit your CV:
https://lnkd.in/gQXXMvJj
Let's bridge the gap between talent and opportunity in the IT industry. 📌 ⛓ Together, we can create a more efficient and rewarding recruitment experience for everyone involved. Join us on this journey towards a brighter future in IT!
#ITJobs #CareerOpportunities #JobSearch #ITRecruitment #JoinOurNetwork
#hiring #dataanalyst #businessanalyst #powerbi #sql
📯
In the fast-paced world of IT recruitment, one thing remains constant: the elusive match between job requirements and candidates . 📌 ⛓
Often, just when the perfect candidate seems to be on the horizon, the job opening vanishes into thin air. 📯 📌 ⛓
Conversely, when the need for exceptional talent is urgent, suitable candidates are nowhere to be found.
To tackle this challenge head-on, I've created a solution that aims to streamline the process and ensure that no opportunity goes unnoticed.
Introducing a Google Form where all aspiring IT professionals can submit their CVs. 📌 ⛓
This centralized platform allows us to build a comprehensive database of talent across various job roles.📯
Why Submit Your CV?
By submitting your CV through this form, you become part of a proactive network. When relevant job openings arise, we proactively reach out to candidates whose profiles match the requirements. This proactive approach eliminates the frustration of missed opportunities and ensures that your CV is circulated precisely when it matters most.
Join Our Community
Stay updated with the latest job opportunities by joining my new Telegram channel. Receive instant notifications about job openings, industry insights, and career advice tailored specifically for IT professionals.📯 📌 ⛓
https://lnkd.in/eyteyAKc
Submit Your CV Today
Ready to take the next step in your IT career?
Fill out the form below to submit your CV:
https://lnkd.in/gQXXMvJj
Let's bridge the gap between talent and opportunity in the IT industry. 📌 ⛓ Together, we can create a more efficient and rewarding recruitment experience for everyone involved. Join us on this journey towards a brighter future in IT!
#ITJobs #CareerOpportunities #JobSearch #ITRecruitment #JoinOurNetwork
#hiring #dataanalyst #businessanalyst #powerbi #sql
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
Job referral template for people with Career Gap‼️
Subject- Referral request for Data Analyst role at [Company Name]
Hello [Name of the person],
Hope you are doing well!
I have been following your work at [Company Name] for a while now and appreciate your achievements.
My name is [Your Name] and I graduated in [Degree name] from [College Name].
Due to some personal emergency I have a career gap of around [X] years but from the past 8 months I have acquired skills in Advanced Excel, SQL, Power BI and Python and now I'm looking forward to restart my career. I'm Microsoft certified Data Analyst and here I'm attaching my project portfolio link for your reference.
[Portfolio URL]
I came across a Data Analyst position at [Company Name] (Job ID: [Job ID]) and I'm very much interested in applying.
Here is the link to the Job posting:
[URL]
Given your experience at [Company name], I would be grateful to you if you could refer me for this position.
Please find my resume attached. Thank you for considering my request.
Thanks and Regards,
[Your Name]
[Mob no.]
Hope this helps you 🙂
#powerbi #sql #dataanslyst #referral #job
Subject- Referral request for Data Analyst role at [Company Name]
Hello [Name of the person],
Hope you are doing well!
I have been following your work at [Company Name] for a while now and appreciate your achievements.
My name is [Your Name] and I graduated in [Degree name] from [College Name].
Due to some personal emergency I have a career gap of around [X] years but from the past 8 months I have acquired skills in Advanced Excel, SQL, Power BI and Python and now I'm looking forward to restart my career. I'm Microsoft certified Data Analyst and here I'm attaching my project portfolio link for your reference.
[Portfolio URL]
I came across a Data Analyst position at [Company Name] (Job ID: [Job ID]) and I'm very much interested in applying.
Here is the link to the Job posting:
[URL]
Given your experience at [Company name], I would be grateful to you if you could refer me for this position.
Please find my resume attached. Thank you for considering my request.
Thanks and Regards,
[Your Name]
[Mob no.]
Hope this helps you 🙂
#powerbi #sql #dataanslyst #referral #job
Complete topics & subtopics of #SQL for Data Analyst role:-
1. Basic SQL Syntax:
SQL keywords
Data types
Operators
SQL statements (SELECT, INSERT, UPDATE, DELETE)
2. Data Definition Language (DDL):
CREATE TABLE
ALTER TABLE
DROP TABLE
Truncate table
3. Data Manipulation Language (DML):
SELECT statement (SELECT, FROM, WHERE, ORDER BY, GROUP BY, HAVING, JOINs)
INSERT statement
UPDATE statement
DELETE statement
4. Aggregate Functions:
SUM, AVG, COUNT, MIN, MAX
GROUP BY clause
HAVING clause
5. Data Constraints:
Primary Key
Foreign Key
Unique
NOT NULL
CHECK
6. Joins:
INNER JOIN
LEFT JOIN
RIGHT JOIN
FULL OUTER JOIN
Self Join
Cross Join
7. Subqueries:
Types of subqueries (scalar, column, row, table)
Nested subqueries
Correlated subqueries
8. Advanced SQL Functions:
String functions (CONCAT, LENGTH, SUBSTRING, REPLACE, UPPER, LOWER)
Date and time functions (DATE, TIME, TIMESTAMP, DATEPART, DATEADD)
Numeric functions (ROUND, CEILING, FLOOR, ABS, MOD)
Conditional functions (CASE, COALESCE, NULLIF)
9. Views:
Creating views
Modifying views
Dropping views
10. Indexes:
Creating indexes
Using indexes for query optimization
11. Transactions:
ACID properties
Transaction management (BEGIN, COMMIT, ROLLBACK, SAVEPOINT)
Transaction isolation levels
12. Data Integrity and Security:
Data integrity constraints (referential integrity, entity integrity)
GRANT and REVOKE statements (granting and revoking permissions)
Database security best practices
13. Stored Procedures and Functions:
Creating stored procedures
Executing stored procedures
Creating functions
Using functions in queries
14. Performance Optimization:
Query optimization techniques (using indexes, optimizing joins, reducing subqueries)
Performance tuning best practices
15. Advanced SQL Concepts:
Recursive queries
Pivot and unpivot operations
Window functions (Row_number, rank, dense_rank, lead & lag)
CTEs (Common Table Expressions)
Dynamic SQL
Keep Learning 👍👍👍👍👍👍👍
1. Basic SQL Syntax:
SQL keywords
Data types
Operators
SQL statements (SELECT, INSERT, UPDATE, DELETE)
2. Data Definition Language (DDL):
CREATE TABLE
ALTER TABLE
DROP TABLE
Truncate table
3. Data Manipulation Language (DML):
SELECT statement (SELECT, FROM, WHERE, ORDER BY, GROUP BY, HAVING, JOINs)
INSERT statement
UPDATE statement
DELETE statement
4. Aggregate Functions:
SUM, AVG, COUNT, MIN, MAX
GROUP BY clause
HAVING clause
5. Data Constraints:
Primary Key
Foreign Key
Unique
NOT NULL
CHECK
6. Joins:
INNER JOIN
LEFT JOIN
RIGHT JOIN
FULL OUTER JOIN
Self Join
Cross Join
7. Subqueries:
Types of subqueries (scalar, column, row, table)
Nested subqueries
Correlated subqueries
8. Advanced SQL Functions:
String functions (CONCAT, LENGTH, SUBSTRING, REPLACE, UPPER, LOWER)
Date and time functions (DATE, TIME, TIMESTAMP, DATEPART, DATEADD)
Numeric functions (ROUND, CEILING, FLOOR, ABS, MOD)
Conditional functions (CASE, COALESCE, NULLIF)
9. Views:
Creating views
Modifying views
Dropping views
10. Indexes:
Creating indexes
Using indexes for query optimization
11. Transactions:
ACID properties
Transaction management (BEGIN, COMMIT, ROLLBACK, SAVEPOINT)
Transaction isolation levels
12. Data Integrity and Security:
Data integrity constraints (referential integrity, entity integrity)
GRANT and REVOKE statements (granting and revoking permissions)
Database security best practices
13. Stored Procedures and Functions:
Creating stored procedures
Executing stored procedures
Creating functions
Using functions in queries
14. Performance Optimization:
Query optimization techniques (using indexes, optimizing joins, reducing subqueries)
Performance tuning best practices
15. Advanced SQL Concepts:
Recursive queries
Pivot and unpivot operations
Window functions (Row_number, rank, dense_rank, lead & lag)
CTEs (Common Table Expressions)
Dynamic SQL
Keep Learning 👍👍👍👍👍👍👍
#Day2 #SQL
Why SQL?
Nowadays, SQL is widely used in data science and analytics. Following are the reasons which explain why it is widely used:
1. The basic use of SQL for data professionals and SQL users is to insert, update, and delete the data from the relational database.
2. SQL allows the data professionals and users to retrieve the data from the relational database management systems.
3. It also helps them to describe the structured data.
4. It allows SQL users to create, drop, and manipulate the database and its tables.
5. It also helps in creating the view, stored procedure, and functions in the relational database.
6. It allows you to define the data and modify that stored data in the relational database.
7. It also allows SQL users to set the permissions or constraints on table columns, views, and stored procedures.
History of SQL
"A Relational Model of Data for Large Shared Data Banks" was a paper which was published by the great computer scientist "E.F. Codd" in 1970.
The IBM researchers Raymond Boyce and Donald Chamberlin originally developed the SEQUEL (Structured English Query Language) after learning from the paper given by E.F. Codd. They both developed the SQL at the San Jose Research laboratory of IBM Corporation in 1970.
At the end of the 1970s, relational software Inc. developed their own first SQL using the concepts of E.F. Codd, Raymond Boyce, and Donald Chamberlin. This SQL was totally based on RDBMS. Relational Software Inc., which is now known as Oracle Corporation, introduced the Oracle V2 in June 1979, which is the first implementation of SQL language. This Oracle V2 version operates on VAX computers.
Process of SQL
When we are executing the command of SQL on any Relational database management system, then the system automatically finds the best routine to carry out our request, and the SQL engine determines how to interpret that particular command.
Structured Query Language contains the following four components in its process:
Query Dispatcher
Optimization Engines
Classic Query Engine
SQL Query Engine, etc.
A classic query engine allows data professionals and users to maintain non-SQL queries. The architecture of SQL is shown in the following diagram:
Why SQL?
Nowadays, SQL is widely used in data science and analytics. Following are the reasons which explain why it is widely used:
1. The basic use of SQL for data professionals and SQL users is to insert, update, and delete the data from the relational database.
2. SQL allows the data professionals and users to retrieve the data from the relational database management systems.
3. It also helps them to describe the structured data.
4. It allows SQL users to create, drop, and manipulate the database and its tables.
5. It also helps in creating the view, stored procedure, and functions in the relational database.
6. It allows you to define the data and modify that stored data in the relational database.
7. It also allows SQL users to set the permissions or constraints on table columns, views, and stored procedures.
History of SQL
"A Relational Model of Data for Large Shared Data Banks" was a paper which was published by the great computer scientist "E.F. Codd" in 1970.
The IBM researchers Raymond Boyce and Donald Chamberlin originally developed the SEQUEL (Structured English Query Language) after learning from the paper given by E.F. Codd. They both developed the SQL at the San Jose Research laboratory of IBM Corporation in 1970.
At the end of the 1970s, relational software Inc. developed their own first SQL using the concepts of E.F. Codd, Raymond Boyce, and Donald Chamberlin. This SQL was totally based on RDBMS. Relational Software Inc., which is now known as Oracle Corporation, introduced the Oracle V2 in June 1979, which is the first implementation of SQL language. This Oracle V2 version operates on VAX computers.
Process of SQL
When we are executing the command of SQL on any Relational database management system, then the system automatically finds the best routine to carry out our request, and the SQL engine determines how to interpret that particular command.
Structured Query Language contains the following four components in its process:
Query Dispatcher
Optimization Engines
Classic Query Engine
SQL Query Engine, etc.
A classic query engine allows data professionals and users to maintain non-SQL queries. The architecture of SQL is shown in the following diagram:
These Are the Advanced and Important Questions Asked by Big 4
Excel Questions
1. How do you use Excel to forecast future trends based on historical data? Describe a scenario where you built a forecasting model.
2. Can you explain how you would automate repetitive tasks in Excel using VBA (Visual Basic for Applications)? Provide an example of a complex macro you created.
3. Describe a time when you had to merge and analyze data from multiple Excel workbooks. How did you ensure data integrity and accuracy?
SQL Questions
1. How would you design a database schema for a new e-commerce platform to efficiently handle large volumes of transactions and user data?
2. Describe a complex SQL query you wrote to solve a business problem. What was the problem, and how did your query help resolve it?
3. How do you ensure data integrity and consistency in a multi-user database environment? Explain the techniques and tools you use.
Python Questions
1. How would you use Python to automate data extraction from various APIs and combine the data for analysis? Provide an example.
2. Describe a machine learning project you worked on using Python. What was the objective, and how did you approach the data preprocessing, model selection, and evaluation?
3. Explain how you would use Python to detect and handle anomalies in a dataset. What techniques and libraries would you employ?
Power BI Questions
1. How do you create interactive dashboards in Power BI that can dynamically update based on user inputs? Provide an example of a dashboard you built.
2. Describe a scenario where you used Power BI to integrate data from non-traditional sources (e.g., web scraping, APIs). How did you handle the data transformation and visualization?
3. How do you ensure the performance and scalability of Power BI reports when dealing with large datasets?
Describe the techniques and best practices you follow.
Tips for Success:
Understand the business context: Tailor your answers to show how your technical skills solve real business problems.Provide specific examples: Highlight your past experiences with concrete examples.Stay updated: Continuously learn and adapt to new tools and methodologies.
#dataanalyst #hiring #Big4 #mnc #sql #powerbi #excel
Excel Questions
1. How do you use Excel to forecast future trends based on historical data? Describe a scenario where you built a forecasting model.
2. Can you explain how you would automate repetitive tasks in Excel using VBA (Visual Basic for Applications)? Provide an example of a complex macro you created.
3. Describe a time when you had to merge and analyze data from multiple Excel workbooks. How did you ensure data integrity and accuracy?
SQL Questions
1. How would you design a database schema for a new e-commerce platform to efficiently handle large volumes of transactions and user data?
2. Describe a complex SQL query you wrote to solve a business problem. What was the problem, and how did your query help resolve it?
3. How do you ensure data integrity and consistency in a multi-user database environment? Explain the techniques and tools you use.
Python Questions
1. How would you use Python to automate data extraction from various APIs and combine the data for analysis? Provide an example.
2. Describe a machine learning project you worked on using Python. What was the objective, and how did you approach the data preprocessing, model selection, and evaluation?
3. Explain how you would use Python to detect and handle anomalies in a dataset. What techniques and libraries would you employ?
Power BI Questions
1. How do you create interactive dashboards in Power BI that can dynamically update based on user inputs? Provide an example of a dashboard you built.
2. Describe a scenario where you used Power BI to integrate data from non-traditional sources (e.g., web scraping, APIs). How did you handle the data transformation and visualization?
3. How do you ensure the performance and scalability of Power BI reports when dealing with large datasets?
Describe the techniques and best practices you follow.
Tips for Success:
Understand the business context: Tailor your answers to show how your technical skills solve real business problems.Provide specific examples: Highlight your past experiences with concrete examples.Stay updated: Continuously learn and adapt to new tools and methodologies.
#dataanalyst #hiring #Big4 #mnc #sql #powerbi #excel
#hiring alert for #gurugram
one the biggest #MNC is #hiring for #dataanalyst
Nestlé is hiring for Data Analyst
Experience: 2-3 Years of experience in and around analytics, Employee communications or stakeholder management
Location : Gurugram
Key Role requirements:
Data analytics POC for multiple learning-related interventions for different Markets
End to end coordination and governance on technology interface for learning interventions
Design, hyper-care and sustenance of new, recently launched, and ongoing projects including Employee coordination, query resolution, Kaizen improvements, Tech corrections, report generation and incorporating new features
End to end coordination with centers of expertise across Markets, HR Business Partners across Units, Business service touchpoints and learning POCs
Regular communication on dashboard and other Data insights across Employee and stakeholder groups
Essential functional skills:
Python Programming and API (Proficiency)
Automation experience
Advance Excel
Data analysis
Data cleaning, Pandas, NUMPY
Machine learning (Basic Understanding)
NLP (Natural Language processing) (Basic Understanding)
Essential Behavioral skills:
Strong and articulate in all forms of communication
Ability to manage multiple tasks within stretched Timelines
Flexibility around dynamic work conditions
Fast learning curve
Apply Link : https://www.linkedin.com/jobs/search/?currentJobId=3959373152&geoId=102713980&keywords=data%20analyst&origin=JOBS_HOME_LOCATION_HISTORY&refresh=true
Dm to HR for referral
https://www.linkedin.com/in/meghashetty218?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_contact_details%3B0bKLm%2Fh9S%2B%2B0VG7b6xhmwQ%3D%3D
Thanks
Follow Saurabh Mishra for more update
Follow Saurabh Mishra for more update
#hiring #recruitment #jobsupdates #dataanalyst #sql
one the biggest #MNC is #hiring for #dataanalyst
Nestlé is hiring for Data Analyst
Experience: 2-3 Years of experience in and around analytics, Employee communications or stakeholder management
Location : Gurugram
Key Role requirements:
Data analytics POC for multiple learning-related interventions for different Markets
End to end coordination and governance on technology interface for learning interventions
Design, hyper-care and sustenance of new, recently launched, and ongoing projects including Employee coordination, query resolution, Kaizen improvements, Tech corrections, report generation and incorporating new features
End to end coordination with centers of expertise across Markets, HR Business Partners across Units, Business service touchpoints and learning POCs
Regular communication on dashboard and other Data insights across Employee and stakeholder groups
Essential functional skills:
Python Programming and API (Proficiency)
Automation experience
Advance Excel
Data analysis
Data cleaning, Pandas, NUMPY
Machine learning (Basic Understanding)
NLP (Natural Language processing) (Basic Understanding)
Essential Behavioral skills:
Strong and articulate in all forms of communication
Ability to manage multiple tasks within stretched Timelines
Flexibility around dynamic work conditions
Fast learning curve
Apply Link : https://www.linkedin.com/jobs/search/?currentJobId=3959373152&geoId=102713980&keywords=data%20analyst&origin=JOBS_HOME_LOCATION_HISTORY&refresh=true
Dm to HR for referral
https://www.linkedin.com/in/meghashetty218?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_contact_details%3B0bKLm%2Fh9S%2B%2B0VG7b6xhmwQ%3D%3D
Thanks
Follow Saurabh Mishra for more update
Follow Saurabh Mishra for more update
#hiring #recruitment #jobsupdates #dataanalyst #sql
Linkedin
114,000+ Data Analyst jobs in India (4,949 new)
Today’s top 114,000+ Data Analyst jobs in India. Leverage your professional network, and get hired. New Data Analyst jobs added daily.
🌟 Exciting Opportunity Alert: Data Analyst Role in Pune! 🚀
Are you a seasoned Data Analyst with 3+ years of experience? 📊✨
Location - Pune
Key Skills - Python+SQL+Pandas+Numpy+Pyspark
Join dynamic team at KPMG India and make an impact with your expertise in:
Python 🐍 + SQL 📊 + Pandas 🐼 + NumPy 🧮 + PySpark ⚡
Analyzing large datasets to drive actionable insights 📈
Building robust data pipelines and optimizing data storage 🛠️
Collaborating across teams to enhance data infrastructure 🤝
If you're passionate about transforming data into strategic insights and thrive in a collaborative environment, we want to hear from you! 🌐
Drop a message or tag someone who fits this profile!
Let's shape the future of data together. 🌍💡
https://www.linkedin.com/jobs/search/?currentJobId=3964220259&geoId=102713980&keywords=data%20analyst&origin=JOBS_HOME_LOCATION_HISTORY&refresh=true
#DataAnalytics #Python #SQL #Pandas #PySpark #DataDrivenDecisions #KPMG #PuneJobs #DataJobs #dataanalyst
Are you a seasoned Data Analyst with 3+ years of experience? 📊✨
Location - Pune
Key Skills - Python+SQL+Pandas+Numpy+Pyspark
Join dynamic team at KPMG India and make an impact with your expertise in:
Python 🐍 + SQL 📊 + Pandas 🐼 + NumPy 🧮 + PySpark ⚡
Analyzing large datasets to drive actionable insights 📈
Building robust data pipelines and optimizing data storage 🛠️
Collaborating across teams to enhance data infrastructure 🤝
If you're passionate about transforming data into strategic insights and thrive in a collaborative environment, we want to hear from you! 🌐
Drop a message or tag someone who fits this profile!
Let's shape the future of data together. 🌍💡
https://www.linkedin.com/jobs/search/?currentJobId=3964220259&geoId=102713980&keywords=data%20analyst&origin=JOBS_HOME_LOCATION_HISTORY&refresh=true
#DataAnalytics #Python #SQL #Pandas #PySpark #DataDrivenDecisions #KPMG #PuneJobs #DataJobs #dataanalyst
Linkedin
108,000+ Data Analyst jobs in India (4,885 new)
Today’s top 108,000+ Data Analyst jobs in India. Leverage your professional network, and get hired. New Data Analyst jobs added daily.
MARS Cosmetics is hiring for #MIS Executive
Location : Delhi
Qualifications:
Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
Proven experience in SQL and Power BI for data analysis and reporting.
Strong understanding of ecommerce metrics and KPIs.
its a entry level job for data analyst aspirant
Do follow me for more update
#misexecutive #mis #advanceexcel #sql
Location : Delhi
Qualifications:
Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
Proven experience in SQL and Power BI for data analysis and reporting.
Strong understanding of ecommerce metrics and KPIs.
its a entry level job for data analyst aspirant
Do follow me for more update
#misexecutive #mis #advanceexcel #sql
Taurus Mutual Fund is hiring for #dataanalyst
Key responsibilities: • Conduct thorough analysis of businesses and industries across cycles
• Build a quantitative and qualitative understanding of the business including on the ground research to make sense of the numbers
Qualifications: • Advanced analytical and quantitative capabilities • Proficiency in Google Suite and Microsoft 365, MS excel (VBA And Macros) • Excellent communication skills, both written and verbal, with the ability to present complex information in a clear and concise manner. • Detail-oriented with a commitment to accuracy and quality in research. •
Keep Applying guys
Thanks
https://www.linkedin.com/jobs/collections/recommended/?currentJobId=3964902042&eBP=NOT_ELIGIBLE_FOR_CHARGING&refId=4Rd%2FOjsM5TO%2Ff3ez5hhoJQ%3D%3D&trackingId=cXfsm%2FpUHQn0zKsvrO7y3A%3D%3D
Do follow me for more update
#dataanalyst #businessanalyst #sql #hiring
Key responsibilities: • Conduct thorough analysis of businesses and industries across cycles
• Build a quantitative and qualitative understanding of the business including on the ground research to make sense of the numbers
Qualifications: • Advanced analytical and quantitative capabilities • Proficiency in Google Suite and Microsoft 365, MS excel (VBA And Macros) • Excellent communication skills, both written and verbal, with the ability to present complex information in a clear and concise manner. • Detail-oriented with a commitment to accuracy and quality in research. •
Keep Applying guys
Thanks
https://www.linkedin.com/jobs/collections/recommended/?currentJobId=3964902042&eBP=NOT_ELIGIBLE_FOR_CHARGING&refId=4Rd%2FOjsM5TO%2Ff3ez5hhoJQ%3D%3D&trackingId=cXfsm%2FpUHQn0zKsvrO7y3A%3D%3D
Do follow me for more update
#dataanalyst #businessanalyst #sql #hiring
LinkedIn
LinkedIn Login, Sign in | LinkedIn
Login to LinkedIn to keep in touch with people you know, share ideas, and build your career.
🚀 Master Python from Scratch! 🚀
1. Setup and Basics 🏁
- Install Python 🖥️: Download and set it up.
- Hello, World! 🌍: Your first program!
2. Basic Syntax 📜
- Variables and Data Types 📊: Strings, integers, floats, booleans.
- Control Structures 🔄: If-else, loops.
- Functions 🛠️: Write reusable code blocks.
3. Data Structures 📂
- Lists 📋: Manage collections.
- Dictionaries 📖: Key-value pairs.
- Tuples 📦: Immutable sequences.
- Sets 🔢: Unique items.
4. Modules and Packages 📦
- Standard Library 📚: Built-in modules.
- Third-Party Packages 🌐: Use pip to install.
5. File Handling 📁
- Read and Write Files 📝
- CSV and JSON 📑
6. Object-Oriented Programming 🧩
- Classes and Objects 🏛️
- Inheritance and Polymorphism 👨👩👧
7. Web Development 🌐
- Flask 🍼: Start with a micro framework.
- Django 🦄: Full-fledged framework.
8. Data Science and Machine Learning 🧠
- NumPy 📊: Numerical operations.
- Pandas 🐼: Data analysis.
- Matplotlib 📈 & Seaborn 📊: Visualization.
- Scikit-learn 🤖: Machine learning.
9. Automation and Scripting 🤖
- Automate Tasks 🛠️
- APIs 🌐: Interact with web services.
10. Testing and Debugging 🐞
- Unit Testing 🧪
- Efficient Debugging 🔍
11. Advanced Topics 🚀
- Concurrency and Parallelism 🕒
- Decorators 🌀 and Generators ⚙️
- Web Scraping 🕸️: Using BeautifulSoup and Scrapy.
12. Practice Projects 💡
- Calculator 🧮
- To-Do List App 📋
- Weather App ☀️
- Personal Blog 📝
13. Community and Collaboration 🤝
- Contribute to Open Source 🌍
- Join Coding Communities 💬
- Participate in Hackathons 🏆
14. Keep Learning and Improving 📈
- Read Books 📖: "Automate the Boring Stuff with Python".
- Watch Tutorials 🎥: Follow courses.
- Solve Challenges 🧩: LeetCode, HackerRank, CodeWars.
15. Teach and Share Knowledge 📢
- Write Blogs ✍️
- Create Video Tutorials 📹
- Mentor Others 👨🏫
👉 lets discuss below
Hope you find this helpful! Like this post for more resources like this! 👍❤️
#dataanalyst #python #sql #numpy #pandas #tupple #sets #learning
1. Setup and Basics 🏁
- Install Python 🖥️: Download and set it up.
- Hello, World! 🌍: Your first program!
2. Basic Syntax 📜
- Variables and Data Types 📊: Strings, integers, floats, booleans.
- Control Structures 🔄: If-else, loops.
- Functions 🛠️: Write reusable code blocks.
3. Data Structures 📂
- Lists 📋: Manage collections.
- Dictionaries 📖: Key-value pairs.
- Tuples 📦: Immutable sequences.
- Sets 🔢: Unique items.
4. Modules and Packages 📦
- Standard Library 📚: Built-in modules.
- Third-Party Packages 🌐: Use pip to install.
5. File Handling 📁
- Read and Write Files 📝
- CSV and JSON 📑
6. Object-Oriented Programming 🧩
- Classes and Objects 🏛️
- Inheritance and Polymorphism 👨👩👧
7. Web Development 🌐
- Flask 🍼: Start with a micro framework.
- Django 🦄: Full-fledged framework.
8. Data Science and Machine Learning 🧠
- NumPy 📊: Numerical operations.
- Pandas 🐼: Data analysis.
- Matplotlib 📈 & Seaborn 📊: Visualization.
- Scikit-learn 🤖: Machine learning.
9. Automation and Scripting 🤖
- Automate Tasks 🛠️
- APIs 🌐: Interact with web services.
10. Testing and Debugging 🐞
- Unit Testing 🧪
- Efficient Debugging 🔍
11. Advanced Topics 🚀
- Concurrency and Parallelism 🕒
- Decorators 🌀 and Generators ⚙️
- Web Scraping 🕸️: Using BeautifulSoup and Scrapy.
12. Practice Projects 💡
- Calculator 🧮
- To-Do List App 📋
- Weather App ☀️
- Personal Blog 📝
13. Community and Collaboration 🤝
- Contribute to Open Source 🌍
- Join Coding Communities 💬
- Participate in Hackathons 🏆
14. Keep Learning and Improving 📈
- Read Books 📖: "Automate the Boring Stuff with Python".
- Watch Tutorials 🎥: Follow courses.
- Solve Challenges 🧩: LeetCode, HackerRank, CodeWars.
15. Teach and Share Knowledge 📢
- Write Blogs ✍️
- Create Video Tutorials 📹
- Mentor Others 👨🏫
👉 lets discuss below
Hope you find this helpful! Like this post for more resources like this! 👍❤️
#dataanalyst #python #sql #numpy #pandas #tupple #sets #learning
👍1
Practice will make you interview ready!! So, use below mentioned sites for #SQL & #Python practice for Data/Business/Product Analysts interviews -
For Python or Pandas -
1. https://lnkd.in/gHCNqqiY
2. https://lnkd.in/gUwMXyUk
3. https://lnkd.in/g7mYVbbc
4. https://lnkd.in/gMaaeQna
5. https://lnkd.in/gkXn-3R6
6. https://lnkd.in/er_bBtRY
For SQL -
1. https://datalemur.com/
2. https://leetcode.com/
3. https://sqlpad.io/
4. https://mode.com/
5. https://lnkd.in/eRCPSmEz
6. https://lnkd.in/eMggeJFV
7. https://lnkd.in/er_bBtRY
Keep growing ☺️👍👍
For Python or Pandas -
1. https://lnkd.in/gHCNqqiY
2. https://lnkd.in/gUwMXyUk
3. https://lnkd.in/g7mYVbbc
4. https://lnkd.in/gMaaeQna
5. https://lnkd.in/gkXn-3R6
6. https://lnkd.in/er_bBtRY
For SQL -
1. https://datalemur.com/
2. https://leetcode.com/
3. https://sqlpad.io/
4. https://mode.com/
5. https://lnkd.in/eRCPSmEz
6. https://lnkd.in/eMggeJFV
7. https://lnkd.in/er_bBtRY
Keep growing ☺️👍👍
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
❤3👍3
Readability:** Common Table Expressions (CTEs) can simplify complex queries and improve readability.
---
### Optimization Checklist
- Are JOINs Optimized? Ensure that joins are correctly optimized to reduce unnecessary data scans.
- Is the WHERE Clause Selective? Use indexes to make the WHERE clause more efficient.
- Are Indexes Being Used? Regularly check if indexes are being utilized effectively.
- Is GROUP BY Necessary? Avoid unnecessary grouping to reduce computational overhead.
- Can HAVING Conditions Move to WHERE? If possible, move conditions to the WHERE clause for better performance.
---
### Learning Resources
For those looking to enhance their SQL skills, here are some valuable resources:
- DataLemur Tutorials: Offers interactive SQL challenges and interview prep materials.
- Ankit Bansal’s YouTube Channel: Provides SQL interview questions and solutions.
By mastering the order of SQL query execution and applying these optimization strategies, you can significantly improve your data analysis skills and write more efficient queries. Let’s discuss—how do you optimize your SQL queries? 💬
#SQL #DataAnalytics #QueryOptimization #BigData #InterviewPreparation #DataEngineering
---
### Optimization Checklist
- Are JOINs Optimized? Ensure that joins are correctly optimized to reduce unnecessary data scans.
- Is the WHERE Clause Selective? Use indexes to make the WHERE clause more efficient.
- Are Indexes Being Used? Regularly check if indexes are being utilized effectively.
- Is GROUP BY Necessary? Avoid unnecessary grouping to reduce computational overhead.
- Can HAVING Conditions Move to WHERE? If possible, move conditions to the WHERE clause for better performance.
---
### Learning Resources
For those looking to enhance their SQL skills, here are some valuable resources:
- DataLemur Tutorials: Offers interactive SQL challenges and interview prep materials.
- Ankit Bansal’s YouTube Channel: Provides SQL interview questions and solutions.
By mastering the order of SQL query execution and applying these optimization strategies, you can significantly improve your data analysis skills and write more efficient queries. Let’s discuss—how do you optimize your SQL queries? 💬
#SQL #DataAnalytics #QueryOptimization #BigData #InterviewPreparation #DataEngineering
🚀Beacon Funding is hiring: Senior Data Analyst (#Remote, India) 🌟
Join the team and make an impact with your data expertise!
This is a work-from-home opportunity with a shift from 2 PM to 11 PM IST.
📌 What You’ll Do:
✅ Identify, clean, and combine data to solve business problems
✅ Build impactful Tableau dashboards and reports 📊
✅ Collaborate with Sales, Executive teams, and more 🤝
✅ Develop predictive models using machine learning algorithms 🤖
✅ Optimize workflows and support ETL processes
📈 What We’re Looking For:
🔹 5-8+ years of experience in data analysis (SQL proficiency required)
🔹 Strong Tableau skills for dashboard building and visualization
🔹 Knowledge of machine learning algorithms & ETL tools like ADF
🔹 Bachelor’s degree in MIS, Mathematics, Statistics, or related field
💼 Benefits:
✨ Competitive salary: ₹17-20 LPA
✨ Group Mediclaim & Parental Insurance Coverage 🏥
✨ Retirement Benefits (PF & Gratuity) 💰
✨ Paid Vacation, Holidays, Overtime Bonus & Profit Sharing 🌴
📧 Apply Now: https://job-boards.greenhouse.io/beaconfunding/jobs/4619158007?gh_src=37385c2d7us
Let’s shape the future of data analytics together! 🚀
#Hiring #SeniorDataAnalyst #Tableau #SQL #RemoteWork #DataAnalytics #CareerGrowth
Join the team and make an impact with your data expertise!
This is a work-from-home opportunity with a shift from 2 PM to 11 PM IST.
📌 What You’ll Do:
✅ Identify, clean, and combine data to solve business problems
✅ Build impactful Tableau dashboards and reports 📊
✅ Collaborate with Sales, Executive teams, and more 🤝
✅ Develop predictive models using machine learning algorithms 🤖
✅ Optimize workflows and support ETL processes
📈 What We’re Looking For:
🔹 5-8+ years of experience in data analysis (SQL proficiency required)
🔹 Strong Tableau skills for dashboard building and visualization
🔹 Knowledge of machine learning algorithms & ETL tools like ADF
🔹 Bachelor’s degree in MIS, Mathematics, Statistics, or related field
💼 Benefits:
✨ Competitive salary: ₹17-20 LPA
✨ Group Mediclaim & Parental Insurance Coverage 🏥
✨ Retirement Benefits (PF & Gratuity) 💰
✨ Paid Vacation, Holidays, Overtime Bonus & Profit Sharing 🌴
📧 Apply Now: https://job-boards.greenhouse.io/beaconfunding/jobs/4619158007?gh_src=37385c2d7us
Let’s shape the future of data analytics together! 🚀
#Hiring #SeniorDataAnalyst #Tableau #SQL #RemoteWork #DataAnalytics #CareerGrowth
LinkedIn
LinkedIn Login, Sign in | LinkedIn
Login to LinkedIn to keep in touch with people you know, share ideas, and build your career.
👍4
🚀 Exciting Opportunity! 🚀
Spectral Consultant is Hiring DataAnalyst
📍 Location: Gurgaon | 💼 Work Mode: Hybrid
Looking for talented GRADUATES ONLY
📌 What We're Looking For:
✔️ 2+ years of experience in data analysis, statistical modeling, and data mining (e-commerce preferred)
✔️ Strong in #SQL, #Python, Excel; familiarity with R is a plus!
✔️ Hands-on with #ABTesting, #PredictiveModeling, and optimization experiments 🧪
✔️ Collaborative, organized, and skilled in project management 🤝
✔️ Bonus points: Knowledge of finance/accounting, Git, and agile tools (Jira, Confluence, Miro) ✨
Send your CV or referral to: rachel@spectral.in
Spectral Consultant is Hiring DataAnalyst
📍 Location: Gurgaon | 💼 Work Mode: Hybrid
Looking for talented GRADUATES ONLY
📌 What We're Looking For:
✔️ 2+ years of experience in data analysis, statistical modeling, and data mining (e-commerce preferred)
✔️ Strong in #SQL, #Python, Excel; familiarity with R is a plus!
✔️ Hands-on with #ABTesting, #PredictiveModeling, and optimization experiments 🧪
✔️ Collaborative, organized, and skilled in project management 🤝
✔️ Bonus points: Knowledge of finance/accounting, Git, and agile tools (Jira, Confluence, Miro) ✨
Send your CV or referral to: rachel@spectral.in