Lowe's Hiring Data Analyst!
Experience Required: 1-3 Years
Job Location: Bengaluru
Apply Link:
https://cuvette.tech/app/other-jobs/669e851706096923eb1b9ca0?referralCode=8T994D
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/ID95piZJZa0wYzk5
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Experience Required: 1-3 Years
Job Location: Bengaluru
Apply Link:
https://cuvette.tech/app/other-jobs/669e851706096923eb1b9ca0?referralCode=8T994D
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/ID95piZJZa0wYzk5
Like for more ❤️
👍4
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.
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Like this post if you want me to continue this 👍❤️
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://news.1rj.ru/str/jobs_SQL
Like this post if you want me to continue this 👍❤️
👍45❤2
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.
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.
👍21😁2🥰1👏1
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
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/ID95piZJZa0wYzk5
Like for more ❤️
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
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/ID95piZJZa0wYzk5
Like for more ❤️
👍10
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?
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?
❤4😁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
Candidate: Yeah!
Interviewer: How?
Candidate: 𝐃𝐄𝐋𝐄𝐓𝐄 * 𝐟𝐫𝐨𝐦 𝐂𝐔𝐒𝐓𝐎𝐌𝐄𝐑𝐒 𝐰𝐡𝐞𝐫𝐞 𝐢𝐝%𝟐==𝟎
😁37🗿18🤣16👍8👏1
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:
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.
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.
👍31❤12👀5🫡5👏2
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
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
👍6
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
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
👍10
Where do you go to find remote jobs 👇👇
https://news.1rj.ru/str/jobinterviewsprep/64
https://news.1rj.ru/str/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
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/ID95piZJZa0wYzk5
Like for more ❤️
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
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/ID95piZJZa0wYzk5
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👍6❤4
Narvar is hiring for data analyst
Exp Required: 2+ year
https://job-boards.greenhouse.io/narvar/jobs/6132782?gh_src=fa3ccd361us
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 👍
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 👍
👍64❤5
Beware of any recruiter who asks for money for interview scheduling, certification, or references etc. This is a clear sign of a scam and a fake hiring process.
- No Payment Required: In the IT industry, you should never have to make any kind of payment to get hired. Legitimate companies and recruiters do not charge candidates for job opportunities.
- Third-Party Agencies: Even when you are working with third-party agencies, these agencies charge the employer (their clients), not you.
Red Flags to Identify Scams:
- Payment Requests: If a recruiter asks for money at any stage, it is likely a scam.
- Unverified Contacts: Be cautious if the recruiter’s contact information or company details cannot be verified.
- Pressure Tactics: Scammers often use urgency or pressure tactics to get you to pay quickly.
Always remember: never pay for a job opportunity. If a recruiter or agency asks for money, it is a scam. Stay away and protect yourself from fraudulent practices.
- No Payment Required: In the IT industry, you should never have to make any kind of payment to get hired. Legitimate companies and recruiters do not charge candidates for job opportunities.
- Third-Party Agencies: Even when you are working with third-party agencies, these agencies charge the employer (their clients), not you.
Red Flags to Identify Scams:
- Payment Requests: If a recruiter asks for money at any stage, it is likely a scam.
- Unverified Contacts: Be cautious if the recruiter’s contact information or company details cannot be verified.
- Pressure Tactics: Scammers often use urgency or pressure tactics to get you to pay quickly.
Always remember: never pay for a job opportunity. If a recruiter or agency asks for money, it is a scam. Stay away and protect yourself from fraudulent practices.
❤26👍15👏2
Puretech Hiring for Data Analyst
Location: Kurla-Phoenix Marketcity (WFO, 5 days a week)
Responsibilities:
Manage analytics using GTM, Google Analytics, Looker Studio, and BigQuery.
Create visualizations and presentations.
Identify actionable insights.
Qualifications:
1-2 years of experience as a Data Analyst.
Proficiency in GTM, Google Analytics, Looker Studio, BigQuery, and SQL.
Strong analytical and communication skills.
Apply: Send your resume to ankita.gulve@puretech.com.
Location: Kurla-Phoenix Marketcity (WFO, 5 days a week)
Responsibilities:
Manage analytics using GTM, Google Analytics, Looker Studio, and BigQuery.
Create visualizations and presentations.
Identify actionable insights.
Qualifications:
1-2 years of experience as a Data Analyst.
Proficiency in GTM, Google Analytics, Looker Studio, BigQuery, and SQL.
Strong analytical and communication skills.
Apply: Send your resume to ankita.gulve@puretech.com.
👍9
KPMG hiring Data Engineer
Experience: Freshers
https://ejgk.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/INTG10019786
Experience: Freshers
https://ejgk.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/INTG10019786
GlobalNodes Hiring Freshers !!
Role - Data Scientist - Freshers (0-1 year experience)
Location: [Gurugram]
Looking for passionate and motivated freshers to join the team as Data Scientists. The ideal candidates should have a strong foundation in data analysis, statistical methods, and machine learning. Familiarity with Python, R, and data visualization tools is a plus. This is a great opportunity to kick-start your career in data science with hands-on experience and mentorship.
Please email your resume at avijit.swain@globalnodes.ai
Role - Data Scientist - Freshers (0-1 year experience)
Location: [Gurugram]
Looking for passionate and motivated freshers to join the team as Data Scientists. The ideal candidates should have a strong foundation in data analysis, statistical methods, and machine learning. Familiarity with Python, R, and data visualization tools is a plus. This is a great opportunity to kick-start your career in data science with hands-on experience and mentorship.
Please email your resume at avijit.swain@globalnodes.ai
👍8❤1
https://usource.ripplehire.com/candidate/?token=8YxWjpwDhdL62DFYUIcQ&lang=en&source=USTLINKEDIN&ref=USTLINKEDIN#detail/job/22616
👨💻 Data Analyst
💼 0 - 2 Years
📍Bangalore
🧑🏫 Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics, Mathematics, Human Resources Management or related field.
👨💻 Data Analyst
💼 0 - 2 Years
📍Bangalore
🧑🏫 Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics, Mathematics, Human Resources Management or related field.
👍2❤1
Flint Group is hiring Data Analyst
Apply Link: https://recruiting.paylocity.com/Recruiting/Jobs/Details/2601021
Location: Kansas City, Missouri
Key Experience / Qualifications
2+ years of experience working with business analytics systems / data visualization tools (PowerBI, Tableau, etc.)
4 year degree, with a focus in business analytics, business, accounting, or finance
Proficiency in Microsoft Excel
Collecting, analyzing, and interpreting financial and operational data to drive actionable insights and recommendations
Strong communication skills, with the ability to effectively communicate progress, results, and recommendations to stakeholders at all levels
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/ID95piZJZa0wYzk5
Like for more ❤️
All the best 👍👍
Apply Link: https://recruiting.paylocity.com/Recruiting/Jobs/Details/2601021
Location: Kansas City, Missouri
Key Experience / Qualifications
2+ years of experience working with business analytics systems / data visualization tools (PowerBI, Tableau, etc.)
4 year degree, with a focus in business analytics, business, accounting, or finance
Proficiency in Microsoft Excel
Collecting, analyzing, and interpreting financial and operational data to drive actionable insights and recommendations
Strong communication skills, with the ability to effectively communicate progress, results, and recommendations to stakeholders at all levels
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/ID95piZJZa0wYzk5
Like for more ❤️
All the best 👍👍
👍4