American Express is hiring Business Analyst

Apply Link: https://aexp.eightfold.ai/careers/job/23917280?

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

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

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Below is a list of companies that are offering internships in the United Kingdom:

SLB – Data Science Intern
Tencent – NLP Research Intern
Cohere – Research Intern
Viridien – ML Intern
Tencent – Data Product Intern
Watchfinder – Data Engineer Intern

Here’s a list of companies that are offering internships in Canada:
Ndax – ML Intern
Refonte Technologies – AI Internship
Klue – Data Analyst Intern
Sustain Pod – Data Analyst Intern
Cohere – Research Intern
Pinterest – ML Intern

Exciting Career Opportunity..!!
#hiring for #data_analyst with expertise in #predictive_modeling.
Position: Data Analyst
Location - Bangalore
Relevant Experience - 2 to 3.5 Years
Work Mode - Work From Office

Feel free to reach out or share this opportunity with someone you know who might be a great fit priya.modwani@i-intelliserve.com

Dreaming of a perfect day as a data analyst?

Here is the reality check:

• You arrive at the office, grab a coffee, and dive deep into solving complex problems.
𝗕𝘂𝘁, you spend the first hour trying to figure out why one of your dashboards shows outdated data.


• You present impactful insights to a room full of executives, who trust your recommendations and are eager to execute your ideas.
𝗕𝘂𝘁, you will explain for the 10th time why Excel isn’t the best tool for running the complex analysis they are requesting.


• You use the latest machine learning models to accurately predict future trends.
𝗕𝘂𝘁, you will spend whole days wrangling messy, incomplete datasets.


• You collaborate with a team of data scientists to create innovative solutions.
𝗕𝘂𝘁, you will have to send a dozen Slack messages to IT just to get access to the data you need.


• You spend the afternoon writing elegant, and efficient Python code.
𝗕𝘂𝘁, you will google basic pandas function more times than you’d like to admit.


Manage your expectations and find humor in your daily work. It’s all part of the journey to those moments where you will drive real business impact as a data analyst!

Accenture Hiring Data Scientist!

Experience Required: 1-3 Years
Job Location: Bengaluru

Apply Link:
https://cuvette.tech/app/other-jobs/669f6522b6d3b320ec358efe?referralCode=8T994D

Lowe's Hiring Data Analyst!

Experience Required: 1-3 Years
Job Location: Bengaluru

Apply Link:
https://cuvette.tech/app/other-jobs/669e851706096923eb1b9ca0?referralCode=8T994D

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Here's Part 4 of the phone interview series for data analysts:

𝐂𝐚𝐧 𝐲𝐨𝐮 𝐝𝐞𝐬𝐜𝐫𝐢𝐛𝐞 𝐚 𝐭𝐢𝐦𝐞 𝐰𝐡𝐞𝐧 𝐲𝐨𝐮 𝐟𝐚𝐜𝐞𝐝 𝐚 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐢𝐧 𝐚𝐧𝐚𝐥𝐲𝐳𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐚𝐧𝐝 𝐡𝐨𝐰 𝐲𝐨𝐮 𝐨𝐯𝐞𝐫𝐜𝐚𝐦𝐞 𝐢𝐭?

𝐇𝐑: [Your Name], can you describe a time when you faced a challenge in analyzing data and how you overcame it?

[Your Name]: Certainly. One challenging situation I encountered was during my internship at [Internship Company]. I was tasked with analyzing sales data to forecast future sales trends, but the data we had was incomplete and contained numerous inconsistencies.

𝐇𝐑: That sounds difficult. How did you approach this challenge?

[Your Name]: First, I conducted a thorough assessment of the data to understand the extent of the issues. I identified gaps, missing values, and inconsistencies. Realizing that the data needed significant cleaning, I developed a plan to address these issues systematically.

𝐇𝐑: What specific steps did you take to clean and prepare the data?

[Your Name]: I started by addressing the missing values. For numerical data, I used imputation techniques such as mean or median imputation where appropriate. For categorical data, I used the most frequent category or created a new category for missing values. I also removed any duplicate entries and corrected errors based on cross-references with other data sources.

To ensure the cleaned data was reliable, I performed data validation checks. This involved verifying the consistency of the data across different time periods and segments. I also consulted with the sales team to understand any anomalies and incorporate their insights into the data cleaning process.

𝐇𝐑: Once the data was cleaned, how did you proceed with the analysis?

[Your Name]: With the cleaned data, I conducted exploratory data analysis to identify trends and patterns. I used statistical techniques to smooth out short-term fluctuations and highlight long-term trends.

For the sales forecasting, I applied time series analysis techniques such as ARIMA (AutoRegressive Integrated Moving Average) models. I split the data into training and testing sets to validate the model’s accuracy. After fine-tuning the model, I was able to generate reliable forecasts for future sales trends.

𝐇𝐑: How did you present your findings and ensure they were actionable?

[Your Name]: I created a detailed report and a set of interactive dashboards using Tableau. These visualizations highlighted key trends, forecasted sales figures, and potential growth areas. I also included a section on the data cleaning process and the assumptions made during the analysis to provide full transparency.

I presented the findings to the sales team and senior management. During the presentation, I emphasized the implications of the forecast and offered recommendations based on the analysis. The clear visualization and actionable insights helped the team make informed decisions on inventory management and marketing strategies.

𝐇𝐑: That’s an impressive way to handle a challenging situation. It seems like your structured approach and attention to detail were crucial.

[Your Name]: Thank you! I believe that thorough data preparation and clear communication are key to overcoming challenges in data analysis.

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

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

Struggling to stay motivated in your job search?

Try setting input goals first, then shift to output goals once you’re consistent.

Let me explain how this works with a real-life example.

Input Goals vs. Output Goals:

When starting, focus on input goals to build consistency.

For instance, if you're struggling to go to the gym, set a goal to show up every other day rather than aiming to lose 50 pounds.

Once you’re consistent, shift to output goals like losing 5 pounds a month.

Why This Works:

- Focus and Pressure: Output goals create a sense of urgency and focus.
- Efficiency: You find faster and more effective ways to achieve your goals.
- Persistence: Sticking with a strategy until it works builds resilience and problem-solving skills.

Action Time:

1) Start with Input Goals: If you're struggling with consistency, set small, manageable goals to build habits.

2) Shift to Output Goals: Once you’re consistent, set specific, measurable outcomes.

3) Don't Quit: Commit to your goals and find ways to make them work.

ICF is hiring Associate Data Analyst

The pay range for this position based on full-time employment is: $57,737.00 - $98,153.00

Required Qualifications  
Bachelor’s degree required (degree in Computer Science or related field preferred) 
3+ years of experience in data analysis and data visualization 
1+ year of SQL experience 
Candidate must be able to obtain and maintain a Public Trust Clearance 
Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S. 
Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years

Apply Link: https://icf.wd5.myworkdayjobs.com/en-US/ICFExternal_Career_Site/job/Reston-VA/Data-Analyst---Remote_R2402753?q=Data%20analyst

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Company: HP!
Position: Data Analyst!
Salary: 6 - 10 LPA (Expected)
Experience: Freshers (0 - 2 Years)
Location: Work From Home/ Office

https://hp.wd5.myworkdayjobs.com/ExternalCareerSite/job/Taipei-City-Taipei-City-Taiwan/Regulatory-Data-Analyst_3132405-2?

Interviewer: You mentioned that you had reduced cloud storage costs by 50%.

Candidate: Yeah!

Interviewer: How?

Candidate: 𝐃𝐄𝐋𝐄𝐓𝐄 * 𝐟𝐫𝐨𝐦 𝐂𝐔𝐒𝐓𝐎𝐌𝐄𝐑𝐒 𝐰𝐡𝐞𝐫𝐞 𝐢𝐝%𝟐==𝟎

Kaggle Datasets are often too perfect for real-world scenarios.

I'm about to share a method for real-life data analysis.

You see …

… most of the time, a data analyst cleans and transforms data.

So … let’s practice that.

How?

Well … you can use ChatGPT.

Just write this prompt:

Create a downloadable CSV dataset of 10,000 rows of financial credit card transactions with 10 columns of customer data so I can perform some data analysis to segment customers.

Now…

Download the dataset and start your analysis.

You'll see that, most of the time…

… numbers don’t match.

There are no patterns.

Data is incorrect and doesn’t make sense.

And that’s good.

Now you know what a data analyst deals with.

Your job is to make sense of that dataset.

To create a story that justifies the numbers.

This is how you can mimic real-life work using A.I.

Company: Emerson!
Position: Data Analyst
Salary: 6 - 8 LPA (Expected)
Experience: Freshers (0 - 2 Years)

https://hdjq.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/23013268

Here’s a list of companies that are offering internships in the United States:

Peerlogic – Data Analyst Intern
GuidewireRx – ML Intern
The Centers – Data Analytics Intern
W. R. Berkley – Data Science Intern
Dyania Health – NLP Intern
Royal Cyber – Data Scientist Intern

Where do you go to find remote jobs 👇👇
https://t.me/jobinterviewsprep/64

Accenture is hiring!
Position: Power BI Developer
Qualification: Bachelor's/ Master’s Degree
Salary: 6 - 10 (Expected)
Experience: Freshers/ Experienced
Location: Hyderabad

📌Apply Now:
https://www.accenture.com/in-en/careers/jobdetails?id=ATCI-R1-S1582762_en

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Narvar is hiring for data analyst

Exp Required: 2+ year

https://job-boards.greenhouse.io/narvar/jobs/6132782?gh_src=fa3ccd361us

Hello everyone!

Today, I won't be posting any new content. Instead, I'd like to encourage you to focus on these key areas:

Resume Format: Ensure your resume is up-to-date and highlights your skills effectively.

Project Portfolio: Showcase your best projects to demonstrate your expertise.

Networking: Connect with professionals in your field to build valuable relationships.

Upskilling: Continuously learn and enhance your skills to stay competitive.

Self-Preparation for Interviews: Practice and prepare thoroughly to excel in your interviews.

Take this time to work on these important aspects and set yourself up for succes

give us if your okay 👍