Walmart is hiring Data Engineer platform team (2 to 6 years experience) with expertise in framework building, Kafka, Scala, and Streaming

https://walmart.wd5.myworkdayjobs.com/WalmartExternal/job/IN-KA-BANGALORE-Home-Office-PW-II/DATA-ENGINEER-III_R-1908170

Many people ask this common question “Can I get a job with just SQL and Excel?” or “Can I get a job with just Power BI and Python?”.

The answer to all of those questions is yes.

There are jobs that use only SQL, Tableau, Power BI, Excel, Python, or R or some combination of those.

However, the combination of tools you learn impacts the total number of jobs you are qualified for.

For example, let’s say with just SQL and Excel you are qualified for 10 jobs, but if you add Tableau to that, you are qualified for 50 jobs.

If you have a success rate of landing a job you’re qualified for of 4%, having 5 times as many jobs to go for greatly improves your odds of landing a job.

Does this mean you should go out there and learn every single skill any data analyst job requires?

NO!

It’s about finding the core tools that many jobs want.

And, in my opinion, those tools are SQL, Excel, and a visualization tool.

With these three tools, you are qualified for the majority of entry level data jobs and many higher level jobs.

So, you can land a job with whatever tools you’re comfortable with.

But if you have the three tools above in your toolbelt, you will have many more jobs to apply for and greatly improve your chances of snagging one.

Deutsche Bank is hiring!
Position: Analytics - Data Analyst
Qualifications: Bachelor’s/ Master’s Degree
Salary: 7 - 15 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore, India

📌Apply Now: https://careers.db.com/professionals/search-roles/?test.html%3Fkid%3D=linkedinjobwrap#/professional/job/55301

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

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

Like for more ❤️

All the best 👍 👍

Quickly learn & retain new skills!

Try these top 10 ChatGPT prompts:


⏳ Explain Using Analogies

Prompt: "Explain the concept of (concept/theory) using an analogy or comparison to something familiar. Make it relatable and easy to understand with clear examples."


⏳ Develop a Quick Reference Guide

Prompt: "Create a quick reference guide for (skill/subject) that includes essential formulas, key points, and concise summaries for easy review."


⏳ Design Interactive Learning Activities

Prompt: "Suggest interactive activities or exercises that will help me actively engage with and better understand (topic/skill). Include step-by-step instructions and expected outcomes."


⏳ Simulate Real-World Applications

Prompt: "Provide real-world scenarios or applications where I can apply (concept/skill) to reinforce my learning. Include detailed examples and practical exercises."


⏳ Identify Common Mistakes

Prompt: "List common mistakes or pitfalls to avoid when learning (skill/subject) and provide strategies for overcoming them. Include tips for maintaining good practices."


⏳ Create a Daily Practice Routine

Prompt: "Design a daily practice routine to help me steadily improve in (skill/subject) over time. Include specific exercises, time allocations, and progression milestones."


⏳ Use Mnemonics for Memory

Prompt: "Create mnemonic devices to help me remember important information related to (topic/subject). Explain how each mnemonic works and provide examples."


⏳ Set Achievable Micro-Goals

Prompt: "Break down (skill/subject) into small, achievable goals that will keep me motivated and on track. Include a timeline and criteria for measuring success."


⏳ Leverage Peer Learning

Prompt: "Suggest ways to find or create a study group or learning community to practice and discuss (skill/subject) with peers. Include strategies for effective group learning."


⏳ Apply Spaced Repetition Technique

Prompt: "Set up a spaced repetition schedule to review and retain information for (topic/subject). Include intervals, review methods, and tips for long-term retention."

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

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

Like for more ❤️

All the best 👍 👍

#hiring for a Data Analyst at Globner Consulting …

Skill - Advance SQL + Bi tool ( Power bi or Tableau)
Not developer
Location - Pune, Bangalore
Exp - 2 to 6 Banglore
Exp - 1 to 4 Pune

kindly share your cv on - barkha.p@globner.com

Societe Generale is hiring!
Position: Analyst/ Business Analyst
Qualifications: Bachelor’s/ Master's Degree
Salary: 6.3 - 12 LPA (Expected)
Experience: Freshers/ Experienced
Location: Chennai; Bangalore, India (Hybrid)

📌Apply Now: https://careers.societegenerale.com/en/job-offers/analyst-240000I8-en?src=JB-14381

https://careers.societegenerale.com/en/job-offers/business-analyst-24000IQT-en?src=JB-14381

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

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

Like for more ❤️

All the best 👍 👍

Pine Street Inn is hiring Data Analyst

LOCATION: This is a fully remote position with the expectation to come on site occasionally for meetings and/or other work related events.

Apply Link: https://pinestreetinn.hrmdirect.com/employment/job-opening.php?req=3135520&req_loc=279944&&#job

Pays: $62,400 annual DOE

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

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

Like for more ❤️

All the best 👍 👍

No one knows about you and no one cares about you on the internet...

And this is a wonderful thing!

Apply for those jobs you don't feel qualified for!

It doesn't matter because almost nobody cares! You can make mistakes, get rejected for the job, give an interview that's not great, and you'll be okay.

This is the time to try new things and make mistakes and learn from them so you can grow and get better.

Moore is hiring Data Analyst

Location: United States

Base Pay: $70000.00 - $100000.00 / Year

Apply Link: https://secure4.saashr.com/ta/6167768.careers?ShowJob=721693330

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

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

Like for more ❤️

All the best 👍 👍

Cotiviti is hiring Data Analyst

Apply Link: https://careers-cotiviti.icims.com/jobs/13081/data-analyst/job?mobile=true&width=360&height=708&bga=true&needsRedirect=false&jan1offset=330&jun1offset=330

Qualifications:
Bachelor’s degree in relevant field such as Health Science, Computer Science, Business, or equivalent experience.
2-4 years’ experience with healthcare data analysis. Strong data manipulation skills using database and spreadsheet applications. Knowledge of database applications, including extraction and querying skills.
2+ years’ experience within the Healthcare or Insurance space in a Data Warehouse operations organization.
Strong knowledge of healthcare enrollment, medical claims, and drug claims data required.
Additional knowledge of non-traditional data types (health & wellness, workforce productivity, and EMR) preferred.
2+ years’ experience with HEDIS software.
Ability to use SQL (TOAD, SQL Tools) and other data tools to analyze diverse data sets.
Excellent written and verbal communication skills, with the ability to multitask and prioritize projects to meet scheduled deadlines.
Ability to analyze raw data and disseminate results, with ability to think logically and process sequentially with a high level of detailed accuracy.
Ability to work well independently or in a team environment.
Proficient in Microsoft Office Suite, including PowerPoint, Word, Excel, Outlook and Project

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

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

Like for more ❤️

All the best 👍 👍

Data Analytics isn't rocket science. It's just a different language.

Here's a beginner's guide to the world of data analytics:

1) Understand the fundamentals:
- Mathematics
- Statistics
- Technology

2) Learn the tools:
- SQL
- Python
- Excel (yes, it's still relevant!)

3) Understand the data:
- What do you want to measure?
- How are you measuring it?
- What metrics are important to you?

4) Data Visualization:
- A picture is worth a thousand words

5) Practice:
- There's no better way to learn than to do it yourself.

Data Analytics is a valuable skill that can help you make better decisions, understand your audience better, and ultimately grow your business.

It's never too late to start learning!

Company: Gainwell Technologies!
Position: Data Analyst
Experience: Freshers/ Experienced

https://jobs.gainwelltechnologies.com/job/Bangalore-Data-Analyst-KA-560100/1150924900/

Deutsche Bank is hiring!
Position: Analytics - Data Analyst
Qualifications: Bachelor’s/ Master’s Degree
Salary: 7 - 15 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore, India

📌Apply Now: https://careers.db.com/professionals/search-roles/?test.html%3Fkid%3D=linkedinjobwrap#/professional/job/55301

10 powerful lessons:

1. Embrace Writing to Clear Your Mind
↳ Writing down your thoughts and ideas can help you clarify and organize your thoughts.
↳ Write out your goals and plans to enhance focus and motivation.

2. Always Aim for the Stars
↳ Set ambitious goals that challenge you to grow and learn.
↳ Surround yourself with people who inspire and push you to be your best.

3. Great Leaders Put Others First
↳ Great leaders focus on their team's success, not just their own.
↳ Leadership is not about personal gain, but about positively impacting others.

4. The Power of Task Segmentation
↳ Breaking large tasks into smaller ones can help you feel less overwhelmed and more focused.
↳ Smaller tasks are easier to complete, which can help you build momentum and stay motivated.


5. Reframing Challenges
↳ Embrace challenges as opportunities to learn and grow.
↳ Reflect on failures to identify areas for improvement.

6. Leadership is About Service, Not Power
↳ Leadership is about empowering others to be their best selves.
↳ Great leaders inspire others to innovate and think creatively.

7. The Power of Pen and Paper
↳ Writing helps you understand your own thoughts better.
↳ Write out your thoughts and feelings to gain perspective and clarity.

8. Master the Power of Active Listening
↳ Focus on what others are saying, not on your reply.
↳ Avoid interrupting or formulating your response while the other person is speaking.

9. Writing Sharpens Your Thoughts
↳ Writing forces you to organize your thoughts.
↳ Seeing ideas on paper helps you spot flaws and improvements.

10. Embrace Discipline for Lasting Success
↳ Discipline is choosing between what you want now and what you want most.
↳ Small, consistent actions lead to big results over time.

10 simple yet transformative lessons to shift your mindset.

Companies Offering Data Science Internships

Below is a list of companies that are offering internships in India:

Unstudio AI – ML Intern
Extuent – GenAI Intern
Sponsogram – ML Intern
EarnIn – Data Science Intern
Digitap.ai – Product Analyst Intern
Sony Research – Computer Vision Intern

Here's Part 2 of the phone interview series for data analysts:

𝐓𝐞𝐥𝐥 𝐦𝐞 𝐚𝐛𝐨𝐮𝐭 𝐲𝐨𝐮𝐫 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞.

𝐇𝐑: [Your Name], can you elaborate on your educational background and any relevant experience you have?

[Your Name]: Certainly! I graduated from [Your University] with a degree in [Your Degree], where I focused on subjects like statistics, data analysis, and programming. During my time there, I worked on several projects that involved analyzing large datasets, using tools like Excel, SQL, and Python.

One of the significant projects I worked on was [Briefly describe a project], where I [mention your role and contributions]. This project helped me develop strong analytical skills and a keen eye for detail.

In addition to my coursework, I completed an internship at [Internship Company], where I was responsible for [specific tasks or projects]. This experience allowed me to apply my theoretical knowledge in a practical setting, and I gained hands-on experience with data visualization tools such as Tableau and Power BI.

𝐇𝐑: That sounds impressive. Can you tell me more about the project you mentioned?

[Your Name]: Sure! The project was about [describe the project in detail, including the goal, your role, and the outcome]. I worked closely with a team of data analysts to clean and process the data, identify key trends, and present our findings to the stakeholders. This experience taught me the importance of clear communication and collaboration in data analysis.

𝐇𝐑: It's great to hear about your hands-on experience. What specific skills do you think you bring to our team?

[Your Name]: I bring a strong foundation in data analysis, excellent problem-solving skills, and proficiency in tools like Excel, SQL, Python, and Tableau. I'm also a quick learner and am eager to continue developing my skills. My ability to work collaboratively and communicate effectively with both technical and non-technical stakeholders is another strength that I believe will be valuable to your team.

𝐇𝐑: Thank you for sharing, [Your Name]. It's good to know about your background and skills.

[Your Name]: Thank you for giving me the opportunity to share!

Share with credits: https://t.me/jobs_SQL

Like this post if you want me to continue this 👍❤️

Here’s a detailed breakdown of critical roles and their associated responsibilities:


🔘 Data Engineer: Tailored for Data Enthusiasts

1. Data Ingestion: Acquire proficiency in data handling techniques.
2. Data Validation: Master the art of data quality assurance.
3. Data Cleansing: Learn advanced data cleaning methodologies.
4. Data Standardisation: Grasp the principles of data formatting.
5. Data Curation: Efficiently organise and manage datasets.

🔘 Data Scientist: Suited for Analytical Minds

6. Feature Extraction: Hone your skills in identifying data patterns.
7. Feature Selection: Master techniques for efficient feature selection.
8. Model Exploration: Dive into the realm of model selection methodologies.

🔘 Data Scientist & ML Engineer: Designed for Coding Enthusiasts

9. Coding Proficiency: Develop robust programming skills.
10. Model Training: Understand the intricacies of model training.
11. Model Validation: Explore various model validation techniques.
12. Model Evaluation: Master the art of evaluating model performance.
13. Model Refinement: Refine and improve candidate models.
14. Model Selection: Learn to choose the most suitable model for a given task.

🔘 ML Engineer: Tailored for Deployment Enthusiasts

15. Model Packaging: Acquire knowledge of essential packaging techniques.
16. Model Registration: Master the process of model tracking and registration.
17. Model Containerisation: Understand the principles of containerisation.
18. Model Deployment: Explore strategies for effective model deployment.

These roles encompass diverse facets of Data and ML, catering to various interests and skill sets. Delve into these domains, identify your passions, and customise your learning journey accordingly.

Imagen is hiring Senior Data Analyst

Required Qualifications:
4+ years of overall experience
Bachelor's degree (preferably in a quantitative field such as Mathematics or Engineering but not required)
3+ years Healthcare claims data experience with an understanding of medical coding systems (CPT, ICD-10, DRG, etc.)
Developing visualizations for business intelligence (e.g., Tableau dashboards) 
Proficient in SQL, Python (pandas), and Git

Preferred Qualifications:
Proficient in Tableau
Experience with dbt
Knowledge of risk adjustment models

Apply Link: https://boards.greenhouse.io/imagentechnologies/jobs/7533528002

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

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

Like for more ❤️

All the best 👍 👍

One day or Day one. You decide.

Data Science edition.

𝗢𝗻𝗲 𝗗𝗮𝘆 : I will learn SQL.
𝗗𝗮𝘆 𝗢𝗻𝗲: Download mySQL Workbench.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will build my projects for my portfolio.
𝗗𝗮𝘆 𝗢𝗻𝗲: Look on Kaggle for a dataset to work on.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will master statistics.
𝗗𝗮𝘆 𝗢𝗻𝗲: Start the free Khan Academy Statistics and Probability course.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will learn to tell stories with data.
𝗗𝗮𝘆 𝗢𝗻𝗲: Install Tableau Public and create my first chart.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will become a Data Scientist.
𝗗𝗮𝘆 𝗢𝗻𝗲: Update my resume and apply to some Data Science job postings.