Here's Part 4 of the phone interview series for data analysts:
๐๐๐ง ๐ฒ๐จ๐ฎ ๐๐๐ฌ๐๐ซ๐ข๐๐ ๐ ๐ญ๐ข๐ฆ๐ ๐ฐ๐ก๐๐ง ๐ฒ๐จ๐ฎ ๐๐๐๐๐ ๐ ๐๐ก๐๐ฅ๐ฅ๐๐ง๐ ๐ ๐ข๐ง ๐๐ง๐๐ฅ๐ฒ๐ณ๐ข๐ง๐ ๐๐๐ญ๐ ๐๐ง๐ ๐ก๐จ๐ฐ ๐ฒ๐จ๐ฎ ๐จ๐ฏ๐๐ซ๐๐๐ฆ๐ ๐ข๐ญ?
๐๐: [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.
๐๐: 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.
๐๐: 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.
๐๐: 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 modelโs accuracy. After fine-tuning the model, I was able to generate reliable forecasts for future sales trends.
๐๐: 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.
๐๐: Thatโs 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 ๐โค๏ธ
๐๐๐ง ๐ฒ๐จ๐ฎ ๐๐๐ฌ๐๐ซ๐ข๐๐ ๐ ๐ญ๐ข๐ฆ๐ ๐ฐ๐ก๐๐ง ๐ฒ๐จ๐ฎ ๐๐๐๐๐ ๐ ๐๐ก๐๐ฅ๐ฅ๐๐ง๐ ๐ ๐ข๐ง ๐๐ง๐๐ฅ๐ฒ๐ณ๐ข๐ง๐ ๐๐๐ญ๐ ๐๐ง๐ ๐ก๐จ๐ฐ ๐ฒ๐จ๐ฎ ๐จ๐ฏ๐๐ซ๐๐๐ฆ๐ ๐ข๐ญ?
๐๐: [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.
๐๐: 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.
๐๐: 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.
๐๐: 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 modelโs accuracy. After fine-tuning the model, I was able to generate reliable forecasts for future sales trends.
๐๐: 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.
๐๐: Thatโs 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 ๐โค๏ธ
๐45โค2
Struggling to stay motivated in your job search?
Try setting input goals first, then shift to output goals once youโre 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 youโre 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 youโre 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 youโre 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 youโre 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 youโre consistent, set specific, measurable outcomes.
3) Don't Quit: Commit to your goals and find ways to make them work.
๐21๐2๐ฅฐ1๐1
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
Bachelorโs 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
๐WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
๐Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5
Like for more โค๏ธ
The pay range for this position based on full-time employment is: $57,737.00 - $98,153.00
Required Qualifications
Bachelorโs 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
๐WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
๐Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5
Like for more โค๏ธ
๐10
Company: HP!
Position: Data Analyst!
Salary: 6 - 10 LPA (Expected)
Experienc๏ปฟe: 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)
Experienc๏ปฟe: 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?
โค4๐2
Interviewer: You mentioned that you had reduced cloud storage costs by 50%.
Candidate: Yeah!
Interviewer: How?
Candidate: ๐๐๐๐๐๐ * ๐๐ซ๐จ๐ฆ ๐๐๐๐๐๐๐๐๐ ๐ฐ๐ก๐๐ซ๐ ๐ข๐%๐==๐
Candidate: Yeah!
Interviewer: How?
Candidate: ๐๐๐๐๐๐ * ๐๐ซ๐จ๐ฆ ๐๐๐๐๐๐๐๐๐ ๐ฐ๐ก๐๐ซ๐ ๐ข๐%๐==๐
๐37๐ฟ18๐คฃ16๐8๐1
Kaggle Datasets are often too perfect for real-world scenarios.
I'm about to share a method for real-life data analysis.
You see โฆ
โฆ most of the time, a data analyst cleans and transforms data.
So โฆ letโs practice that.
How?
Well โฆ you can use ChatGPT.
Just write this prompt:
Nowโฆ
Download the dataset and start your analysis.
You'll see that, most of the timeโฆ
โฆ numbers donโt match.
There are no patterns.
Data is incorrect and doesnโt make sense.
And thatโs 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 โฆ
โฆ most of the time, a data analyst cleans and transforms data.
So โฆ letโs practice that.
How?
Well โฆ 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.Nowโฆ
Download the dataset and start your analysis.
You'll see that, most of the timeโฆ
โฆ numbers donโt match.
There are no patterns.
Data is incorrect and doesnโt make sense.
And thatโs 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.
๐31โค12๐5๐ซก5๐2
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
๐6
Hereโs a list of companies that are offering internships in the United States:
Peerlogic โ Data Analyst Intern
GuidewireRx โ ML Intern
The Centers โ Data Analytics Intern
W. R. Berkley โ Data Science Intern
Dyania Health โ NLP Intern
Royal Cyber โ Data Scientist Intern
Peerlogic โ Data Analyst Intern
GuidewireRx โ ML Intern
The Centers โ Data Analytics Intern
W. R. Berkley โ Data Science Intern
Dyania Health โ NLP Intern
Royal Cyber โ Data Scientist Intern
๐10
Where do you go to find remote jobs ๐๐
https://t.me/jobinterviewsprep/64
https://t.me/jobinterviewsprep/64
Accenture is hiring!
Position: Power BI Developer
Qualification: Bachelor's/ Masterโs Degree
Salary: 6 - 10 (Expected)
Experienc๏ปฟe: Freshers/ Experienced
Location: Hyderabad
๐Apply Now:
https://www.accenture.com/in-en/careers/jobdetails?id=ATCI-R1-S1582762_en
๐WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
๐Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5
Like for more โค๏ธ
Position: Power BI Developer
Qualification: Bachelor's/ Masterโs Degree
Salary: 6 - 10 (Expected)
Experienc๏ปฟe: Freshers/ Experienced
Location: Hyderabad
๐Apply Now:
https://www.accenture.com/in-en/careers/jobdetails?id=ATCI-R1-S1582762_en
๐WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
๐Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5
Like for more โค๏ธ
๐6โค4
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 ๐
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 ๐
๐64โค5
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 recruiterโs 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 recruiterโs 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.
โค26๐15๐2
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.
๐9
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
๐8โค1
https://usource.ripplehire.com/candidate/?token=8YxWjpwDhdL62DFYUIcQ&lang=en&source=USTLINKEDIN&ref=USTLINKEDIN#detail/job/22616
๐จโ๐ป Data Analyst
๐ผ 0 - 2 Years
๐Bangalore
๐งโ๐ซ Bachelorโs or Masterโs degree in Computer Science, Information Systems, Statistics, Mathematics, Human Resources Management or related field.
๐จโ๐ป Data Analyst
๐ผ 0 - 2 Years
๐Bangalore
๐งโ๐ซ Bachelorโs or Masterโs degree in Computer Science, Information Systems, Statistics, Mathematics, Human Resources Management or related field.
๐2โค1
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
๐WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
๐Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5
Like for more โค๏ธ
All the best ๐๐
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
๐WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
๐Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5
Like for more โค๏ธ
All the best ๐๐
๐4
Coinbase is hiring Senior Data Analyst
Apply Link: https://www.coinbase.com/careers/positions/6020923?gh_jid=6020923
What we look for in you (ie. job requirements):
5+ years of relevant experience
Advanced SQL and data modeling skills, Python experience a plus
Proficient using at least one data visualization product (Looker, Tableau, QuickSight, etc.)
Excellent written and verbal communication skills are required, including experience meeting with and communicating information to senior leadership
Highly collaborative, with an ability to optimally secure inputs from many cross-functional partner teams
Ability to think strategically, formulate appropriate analytical solutions, and execute in order to solve business needs
Pay Range: $162,350โ$191,000 USD
๐WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
๐Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5
Like for more โค๏ธ
All the best ๐๐
Apply Link: https://www.coinbase.com/careers/positions/6020923?gh_jid=6020923
What we look for in you (ie. job requirements):
5+ years of relevant experience
Advanced SQL and data modeling skills, Python experience a plus
Proficient using at least one data visualization product (Looker, Tableau, QuickSight, etc.)
Excellent written and verbal communication skills are required, including experience meeting with and communicating information to senior leadership
Highly collaborative, with an ability to optimally secure inputs from many cross-functional partner teams
Ability to think strategically, formulate appropriate analytical solutions, and execute in order to solve business needs
Pay Range: $162,350โ$191,000 USD
๐WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
๐Telegram Link: https://t.me/addlist/ID95piZJZa0wYzk5
Like for more โค๏ธ
All the best ๐๐
๐8โค1