Template to ask for referrals
(For freshers)
👇👇
(For freshers)
👇👇
Hi [Name],
I hope this message finds you well.
My name is [Your Name], and I recently graduated with a degree in [Your Degree] from [Your University]. I am passionate about data analytics and have developed a strong foundation through my coursework and practical projects.
I am currently seeking opportunities to start my career as a Data Analyst and came across the exciting roles at [Company Name].
I am reaching out to you because I admire your professional journey and expertise in the field of data analytics. Your role at [Company Name] is particularly inspiring, and I am very interested in contributing to such an innovative and dynamic team.
I am confident that my skills and enthusiasm would make me a valuable addition to this role [Job ID / Link]. If possible, I would be incredibly grateful for your referral or any advice you could offer on how to best position myself for this opportunity.
Thank you very much for considering my request. I understand how busy you must be and truly appreciate any assistance you can provide.
Best regards,
[Your Full Name]
[Your Email Address]👍19❤2
American Express is hiring!
Position: Business Analytics
Qualification: Bachelor’s Degree
Salary: 7 - 10 LPA (Expected)
Experience: 0 - 3 (Years)
Location: Work From Home/ Office
📌Apply Now: https://aexp.eightfold.ai/careers/job/24638280?domain=aexp.com&utm_source=linkedin
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👉Telegram Link: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
Like for more ❤️
All the best 👍👍
Position: Business Analytics
Qualification: Bachelor’s Degree
Salary: 7 - 10 LPA (Expected)
Experience: 0 - 3 (Years)
Location: Work From Home/ Office
📌Apply Now: https://aexp.eightfold.ai/careers/job/24638280?domain=aexp.com&utm_source=linkedin
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
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All the best 👍👍
👍9❤1
Fractal is hiring for Data Engineer (AWS + Python Developer)
Experience: 0 - 3 years
Expected Salary: 10-16 LPA
Apply here:
https://fractal.wd1.myworkdayjobs.com/Careers/job/Bengaluru/Data-Engineer--AWS---Python-Developer-_SR-26409
Experience: 0 - 3 years
Expected Salary: 10-16 LPA
Apply here:
https://fractal.wd1.myworkdayjobs.com/Careers/job/Bengaluru/Data-Engineer--AWS---Python-Developer-_SR-26409
Data cleaning is the first step in the journey to discover the truth hidden in your data.
Data cleaning in some points :
👉Remove Duplicate Data: Use tools to eliminate repeated entries that can skew analysis.
👉Handle Missing Values: Replace, remove, or interpolate missing data points to ensure completeness.
👉Correct Data Types: Ensure all data is in the correct format (e.g., dates as datetime objects) for accurate processing.
👉Standardize Data: Convert data into a consistent format, such as standardizing text cases or units of measurement.
👉Filter Outliers: Identify and address extreme values that may distort analysis.
👉Normalize Data: Scale numerical data to ensure features contribute equally in models.
👉Remove Irrelevant Data: Drop columns or rows that do not contribute to the analysis or modeling goals.
👉Validate Data Integrity: Check for inconsistencies or errors, such as typos or incorrect data entries.
👉Document Cleaning Steps: Keep a record of all changes made during cleaning for transparency and reproducibility.
Below most used tools :
☑️Pandas (Python): A powerful data manipulation library for handling missing data, duplicates, and more in Python.
☑️OpenRefine: A free, open-source tool for cleaning messy data, particularly useful for transforming and reconciling datasets.
☑️Excel/Google Sheets: Widely used for basic data cleaning tasks like removing duplicates, filtering, and standardizing data.
☑️SQL: Useful for querying databases, handling missing data, filtering out outliers, and data type conversions.
☑️R: With packages like dplyr and tidyr, R is excellent for cleaning, transforming, and managing data.
☑️Tableau Prep: A tool designed for visual data cleaning and preparation, ideal for those who prefer a graphical interface.
☑️Alteryx: A data analytics platform that provides tools for blending and cleaning data without needing to write code.
☑️Trifacta: A data wrangling tool that offers intuitive interfaces for cleaning and preparing data at scale.
☑️Talend: A data integration tool that includes robust features for data quality, cleansing, and transformation.
Data cleaning in some points :
👉Remove Duplicate Data: Use tools to eliminate repeated entries that can skew analysis.
👉Handle Missing Values: Replace, remove, or interpolate missing data points to ensure completeness.
👉Correct Data Types: Ensure all data is in the correct format (e.g., dates as datetime objects) for accurate processing.
👉Standardize Data: Convert data into a consistent format, such as standardizing text cases or units of measurement.
👉Filter Outliers: Identify and address extreme values that may distort analysis.
👉Normalize Data: Scale numerical data to ensure features contribute equally in models.
👉Remove Irrelevant Data: Drop columns or rows that do not contribute to the analysis or modeling goals.
👉Validate Data Integrity: Check for inconsistencies or errors, such as typos or incorrect data entries.
👉Document Cleaning Steps: Keep a record of all changes made during cleaning for transparency and reproducibility.
Below most used tools :
☑️Pandas (Python): A powerful data manipulation library for handling missing data, duplicates, and more in Python.
☑️OpenRefine: A free, open-source tool for cleaning messy data, particularly useful for transforming and reconciling datasets.
☑️Excel/Google Sheets: Widely used for basic data cleaning tasks like removing duplicates, filtering, and standardizing data.
☑️SQL: Useful for querying databases, handling missing data, filtering out outliers, and data type conversions.
☑️R: With packages like dplyr and tidyr, R is excellent for cleaning, transforming, and managing data.
☑️Tableau Prep: A tool designed for visual data cleaning and preparation, ideal for those who prefer a graphical interface.
☑️Alteryx: A data analytics platform that provides tools for blending and cleaning data without needing to write code.
☑️Trifacta: A data wrangling tool that offers intuitive interfaces for cleaning and preparing data at scale.
☑️Talend: A data integration tool that includes robust features for data quality, cleansing, and transformation.
👍17❤2
Liven is hiring for Junior Data Engineer (Remote)
Experience: 0 - 1 years
Apply here: https://ats.rippling.com/liven/jobs/65a9816d-7b41-4a1a-ad7c-0226766276e1?jobSite=LinkedIn
Experience: 0 - 1 years
Apply here: https://ats.rippling.com/liven/jobs/65a9816d-7b41-4a1a-ad7c-0226766276e1?jobSite=LinkedIn
❤1👍1
Goldman Sachs is hiring!
Position: Internal Audit Analyst - Data Analytics
Qualification: Bachelor’s Degree
Salary: 6 - 10 LPA (Expected)
Location: Hyderabad; Bengaluru, India
📌Apply Now: https://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/LateralHiring/job/134698?mode=job&iis=LinkedIn&utm_medium=jobshare
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All the best 👍👍
Position: Internal Audit Analyst - Data Analytics
Qualification: Bachelor’s Degree
Salary: 6 - 10 LPA (Expected)
Location: Hyderabad; Bengaluru, India
📌Apply Now: https://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/LateralHiring/job/134698?mode=job&iis=LinkedIn&utm_medium=jobshare
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👍7❤4
Data analytics is not about the the tools you master but about the people you influence.
I see many debates around the best tools such as:
- Excel vs SQL
- Python vs R
- Tableau vs PowerBI
- ChatGPT vs no ChatGPT
The truth is that business doesn't care about how you come up with your insights.
All business cares about is:
- the story line
- how well they can understand it
- your communication style
- the overall feeling after a presentation
These make the difference in being perceived as a great data analyst...
not the tools you may or may not master 😅
I see many debates around the best tools such as:
- Excel vs SQL
- Python vs R
- Tableau vs PowerBI
- ChatGPT vs no ChatGPT
The truth is that business doesn't care about how you come up with your insights.
All business cares about is:
- the story line
- how well they can understand it
- your communication style
- the overall feeling after a presentation
These make the difference in being perceived as a great data analyst...
not the tools you may or may not master 😅
👍28👌1
Data Analyst Openings
Accenture - https://www.accenture.com/in-en/careers/jobdetails?id=R00226183_en&SRC=RECNau
Via - https://jobs.lever.co/viacom18/3dd4b857-45d3-4c44-b6d7-4a4ab6358f9a
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Like for more ❤️
All the best 👍👍
Accenture - https://www.accenture.com/in-en/careers/jobdetails?id=R00226183_en&SRC=RECNau
Via - https://jobs.lever.co/viacom18/3dd4b857-45d3-4c44-b6d7-4a4ab6358f9a
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All the best 👍👍
❤4👍4
IBM is hiring Data Engineer!
Qualifications: Bachelor’s/ Master’s Degree
Salary: 6.8 - 11 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore; Hyderabad; Pune, India
📌Apply Now: https://careers.ibm.com/job/20893219/data-engineer-data-modeling-pune-in/?codes=SN_LinkedIn&Codes=SN_LinkedIn
https://careers.ibm.com/job/20738482/data-engineer-bangalore-in/?codes=SN_LinkedIn&Codes=SN_LinkedIn
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Like for more ❤️
All the best 👍👍
Qualifications: Bachelor’s/ Master’s Degree
Salary: 6.8 - 11 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore; Hyderabad; Pune, India
📌Apply Now: https://careers.ibm.com/job/20893219/data-engineer-data-modeling-pune-in/?codes=SN_LinkedIn&Codes=SN_LinkedIn
https://careers.ibm.com/job/20738482/data-engineer-bangalore-in/?codes=SN_LinkedIn&Codes=SN_LinkedIn
https://careers.ibm.com/job/20815821/data-engineer-hyderabad-in/?codes=SN_LinkedIn&Codes=SN_LinkedIn
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All the best 👍👍
👍4❤1
As a data analyst, your focus isn't on creating dashboards, writing SQL queries, doing pivot tables, generating reports, or cleaning data.
Your focus should be solving business problems using these skills
Your focus should be solving business problems using these skills
👍37❤19🤷♂5👌5🥰2
ServiceNow - Work From Home!
Position: Data Informatics Analyst
Qualification: Bachelor's/ Master’s Degree
Salary: 5 - 9 LPA (Expected)
Experience: Freshers/ Experienced
Location: Home (Remote)
📌Apply Now: https://careers.servicenow.com/en/jobs/744000010245340/sr-data-informatics-analyst/
Position: Data Informatics Analyst
Qualification: Bachelor's/ Master’s Degree
Salary: 5 - 9 LPA (Expected)
Experience: Freshers/ Experienced
Location: Home (Remote)
📌Apply Now: https://careers.servicenow.com/en/jobs/744000010245340/sr-data-informatics-analyst/
👍11❤2
Goldman Sachs is hiring Internal Audit Analyst - Data Analytics
Location: Hyderabad; Bengaluru, India
https://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/LateralHiring/job/134698
https://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/LateralHiring/job/133519
Location: Hyderabad; Bengaluru, India
https://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/LateralHiring/job/134698
https://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/LateralHiring/job/133519
👍2
Latest Jobs & Internship Opportunities 👇👇
Company – C2FO
Role – Data and BI Analyst
Exp. – 0-3 yrs
Apply Here – https://jobs.dayforcehcm.com/en-US/c2fo/CANDIDATEPORTAL/jobs/808?source=LinkedIn
Company – United Airlines
Role – Associate - Data Scientist
Exp. – 0-2 yrs
Apply Here – https://careers.united.com/us/en/job/UAIUADUSGGN00001710EXTERNALENUSTALEO/Associate-Data-Scientist?utm_source=linkedin&utm_medium=phenom-feeds
Company – JLL Technologies
Role – Data Analyst 2
Exp. – 2-5 yrs
Apply Here – https://jll.wd1.myworkdayjobs.com/jlltcareers/job/Bengaluru-KA/Data-Analyst-2_REQ378268?source=APPLICANT_SOURCE-6-42
Company – Sattva Consulting
Role – Data Analyst- India Data Insights
Exp. – 1-3 yrs
Apply Here – https://www.sattva.co.in/join-us/careers/?jobId=veQNWIXHDUgt&ft_source=6000202916&ft_medium=6000146766
Company – Poshmark
Role – Data Analyst
Exp. – 1-3 yrs
Apply Here – https://poshmark.wd5.myworkdayjobs.com/Poshmark_Careers/job/Chennai-Tamil-Nadu-India/Data-Analyst_R-200114-1?source=LinkedIn
Company – UL Solutions
Role – Process Engineer - Data Analyst with PowerBi
Exp. – 1+ yrs
Apply Here – https://fa-eups-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/ULSolutionsCareers/job/3759?utm_medium=jobboard&utm_source=linkedin
Company – Canam
Role – Data Scientist
Exp. – Fresher
Apply Here – https://www.canam.com/en/job/data-scientist/?utm_campaign=wrap&utm_medium=referral&source=linkedin&utm_source=Linkedin
Company – Exponentia.ai
Role – Data Engineer
Exp. – 3 yrs
Apply Here – https://careers.exponentia.ai/exponentia/jobview/data-engineer-mumbai-maharashtra-india-2024090219313393?source=linkedin
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Company – C2FO
Role – Data and BI Analyst
Exp. – 0-3 yrs
Apply Here – https://jobs.dayforcehcm.com/en-US/c2fo/CANDIDATEPORTAL/jobs/808?source=LinkedIn
Company – United Airlines
Role – Associate - Data Scientist
Exp. – 0-2 yrs
Apply Here – https://careers.united.com/us/en/job/UAIUADUSGGN00001710EXTERNALENUSTALEO/Associate-Data-Scientist?utm_source=linkedin&utm_medium=phenom-feeds
Company – JLL Technologies
Role – Data Analyst 2
Exp. – 2-5 yrs
Apply Here – https://jll.wd1.myworkdayjobs.com/jlltcareers/job/Bengaluru-KA/Data-Analyst-2_REQ378268?source=APPLICANT_SOURCE-6-42
Company – Sattva Consulting
Role – Data Analyst- India Data Insights
Exp. – 1-3 yrs
Apply Here – https://www.sattva.co.in/join-us/careers/?jobId=veQNWIXHDUgt&ft_source=6000202916&ft_medium=6000146766
Company – Poshmark
Role – Data Analyst
Exp. – 1-3 yrs
Apply Here – https://poshmark.wd5.myworkdayjobs.com/Poshmark_Careers/job/Chennai-Tamil-Nadu-India/Data-Analyst_R-200114-1?source=LinkedIn
Company – UL Solutions
Role – Process Engineer - Data Analyst with PowerBi
Exp. – 1+ yrs
Apply Here – https://fa-eups-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/ULSolutionsCareers/job/3759?utm_medium=jobboard&utm_source=linkedin
Company – Canam
Role – Data Scientist
Exp. – Fresher
Apply Here – https://www.canam.com/en/job/data-scientist/?utm_campaign=wrap&utm_medium=referral&source=linkedin&utm_source=Linkedin
Company – Exponentia.ai
Role – Data Engineer
Exp. – 3 yrs
Apply Here – https://careers.exponentia.ai/exponentia/jobview/data-engineer-mumbai-maharashtra-india-2024090219313393?source=linkedin
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
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All the best 👍👍
👍16❤2
Hiring for data analyst at accenture (0-2 years)
https://www.accenture.com/in-en/careers/jobdetails?id=R00226183_en&SRC=RECNau
https://www.accenture.com/in-en/careers/jobdetails?id=R00226183_en&SRC=RECNau
👍5
Company – Poshmark
Role – Data Analyst
Exp. – 1-3 yrs
Apply Here – https://poshmark.wd5.myworkdayjobs.com/Poshmark_Careers/job/Chennai-Tamil-Nadu-India/Data-Analyst_R-200114-1
Role – Data Analyst
Exp. – 1-3 yrs
Apply Here – https://poshmark.wd5.myworkdayjobs.com/Poshmark_Careers/job/Chennai-Tamil-Nadu-India/Data-Analyst_R-200114-1
👍8
Business Analyst Problem Statement :-
Uber faces an issue where some drivers ask customers to cancel rides upon reaching the pick-up point and then unofficially complete the rides, impacting Uber’s revenue. As a data analyst, identify these drivers using available data points to address this problem effectively.
Solution:-
1. Fetch the List of Drivers with High Cancellation Rates:
- Objective: Identify drivers whose rides are frequently canceled by customers after reaching the pickup point.
- Approach: Query the ride data to find drivers with a high number of cancellations at the pickup point. This can be done by analyzing the timestamps and cancellation reasons.
2. Fetch Drop Points of the Canceled Rides:
- Objective: Gather data on the drop-off locations associated with rides that were canceled at the pickup point.
- Approach: Extract the drop-off locations from the ride data for the rides that were canceled.
3. Check GPS Location of Drivers Post-Cancellation:
- Objective: Determine the exact location of drivers immediately after the ride cancellation.
- Approach: Use GPS data to track the driver's location when they mark themselves as available again after the cancellation.
4. Proximity Analysis:
- Objective: Check whether the driver's post-cancellation location is within a 0-2 km radius of the drop-off point of the canceled ride.
- Approach: Calculate the distance between the driver's location (when they become available again) and the drop-off location of the canceled ride. Use geospatial calculations to determine if this distance is within the specified radius.
5. Identify Suspicious Drivers:
- Objective: Identify drivers who frequently appear within the 0-2 km radius of the drop-off points of canceled rides and immediately mark themselves as available.
- Approach: Compile a list of such drivers by analyzing the proximity data and their availability status. This list will include drivers who exhibit a pattern of cancellations followed by availability near the drop-off points, indicating potential misuse of the system.
By following these steps, you can systematically identify drivers who might be misusing the system.
Uber faces an issue where some drivers ask customers to cancel rides upon reaching the pick-up point and then unofficially complete the rides, impacting Uber’s revenue. As a data analyst, identify these drivers using available data points to address this problem effectively.
Solution:-
1. Fetch the List of Drivers with High Cancellation Rates:
- Objective: Identify drivers whose rides are frequently canceled by customers after reaching the pickup point.
- Approach: Query the ride data to find drivers with a high number of cancellations at the pickup point. This can be done by analyzing the timestamps and cancellation reasons.
2. Fetch Drop Points of the Canceled Rides:
- Objective: Gather data on the drop-off locations associated with rides that were canceled at the pickup point.
- Approach: Extract the drop-off locations from the ride data for the rides that were canceled.
3. Check GPS Location of Drivers Post-Cancellation:
- Objective: Determine the exact location of drivers immediately after the ride cancellation.
- Approach: Use GPS data to track the driver's location when they mark themselves as available again after the cancellation.
4. Proximity Analysis:
- Objective: Check whether the driver's post-cancellation location is within a 0-2 km radius of the drop-off point of the canceled ride.
- Approach: Calculate the distance between the driver's location (when they become available again) and the drop-off location of the canceled ride. Use geospatial calculations to determine if this distance is within the specified radius.
5. Identify Suspicious Drivers:
- Objective: Identify drivers who frequently appear within the 0-2 km radius of the drop-off points of canceled rides and immediately mark themselves as available.
- Approach: Compile a list of such drivers by analyzing the proximity data and their availability status. This list will include drivers who exhibit a pattern of cancellations followed by availability near the drop-off points, indicating potential misuse of the system.
By following these steps, you can systematically identify drivers who might be misusing the system.
👍32❤5👎1
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𝐞𝐁𝐚𝐲 𝐢𝐬 𝐡𝐢𝐫𝐢𝐧𝐠!
Position: Data Analyst, Analytics
Qualification: Bachelor’s/ Master’s Degree
Salary: 6 - 10 LPA (Expected)
Experience: Freshers/ Experienced
Location: Home/ Office
📌Apply Now: https://jobs.ebayinc.com/us/en/job/EBAEBAUSR0064253EXTERNALENUS/Data-Analyst-Advanced-Analytics?utm_source=linkedin&utm_medium=phenom-feeds
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
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All the best 👍👍
Position: Data Analyst, Analytics
Qualification: Bachelor’s/ Master’s Degree
Salary: 6 - 10 LPA (Expected)
Experience: Freshers/ Experienced
Location: Home/ Office
📌Apply Now: https://jobs.ebayinc.com/us/en/job/EBAEBAUSR0064253EXTERNALENUS/Data-Analyst-Advanced-Analytics?utm_source=linkedin&utm_medium=phenom-feeds
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
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All the best 👍👍
👍7
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.
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.
👍26❤13🔥1
Bonterra is hiring Data Analyst
Location: Remote, United States
Apply Link: https://bonterra.wd1.myworkdayjobs.com/bonterratech/job/Remote-United-States/Data-Analyst_R2024-0345
Requirements:
2+ years of experience in developing business analytics solutions, focusing on requirements gathering and effective visualization of insights or open to less with relevant coursework or degree (experience in an Agile environment preferred)
Experience working to solve problems through data analysis
Experience in SQL and data visualization tools (QuickSight, Tableau, plotly, etc.)
Experience with Python for data analytics
Be a collaborative teammate, sharing knowledge and learning from others while working through complex problems
Confidence, hustle, energy, and drive – accountability is key and the impact of your work is crucial to our success
You are always ready for the next challenge, always one step ahead, looking for creative ways to improve upon processes.
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
Like for more ❤️
All the best 👍👍
Location: Remote, United States
Apply Link: https://bonterra.wd1.myworkdayjobs.com/bonterratech/job/Remote-United-States/Data-Analyst_R2024-0345
Requirements:
2+ years of experience in developing business analytics solutions, focusing on requirements gathering and effective visualization of insights or open to less with relevant coursework or degree (experience in an Agile environment preferred)
Experience working to solve problems through data analysis
Experience in SQL and data visualization tools (QuickSight, Tableau, plotly, etc.)
Experience with Python for data analytics
Be a collaborative teammate, sharing knowledge and learning from others while working through complex problems
Confidence, hustle, energy, and drive – accountability is key and the impact of your work is crucial to our success
You are always ready for the next challenge, always one step ahead, looking for creative ways to improve upon processes.
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
👉Telegram Link: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5
Like for more ❤️
All the best 👍👍
👍8❤2🥰1🤔1