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

https://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/LateralHiring/job/133519?mode=job&iis=LinkedIn&utm_medium=jobshare

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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 😅

Jobs from USA/ UK
👇👇
https://news.1rj.ru/str/jobs_us_uk/3

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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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

https://careers.ibm.com/job/20815821/data-engineer-hyderabad-in/?codes=SN_LinkedIn&Codes=SN_LinkedIn

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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/

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

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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Hiring for data analyst at accenture (0-2 years)

https://www.accenture.com/in-en/careers/jobdetails?id=R00226183_en&SRC=RECNau

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

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.

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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

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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.

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.

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Remote Job Opportunities
👇👇
https://news.1rj.ru/str/jobs_us_uk

ICF is hiring Data Analyst

Location: Remote

Apply Link: https://careers.icf.com/us/en/job/IIIIIIUSR2403335EXTERNALENUS/Statistical-Data-Analyst-Remote

The pay range for this position based on full-time employment is:
$69,862.00 - $118,765.00

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S&P Global is hiring!
Position: Data Analyst
Qualification: Bachelor’s/ Master’s/ MBA
Stipend: 5 - 8 LPA (Expected)
Experience: Freshers/ Experienced
Location: Hyderabad; Ahmedabad, India

📌Apply Now: https://careers.spglobal.com/jobs/301711?lang=en-us

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Dentsu is hiring professionals for Performance Media Analytics -

Sr. Analyst, folks who experience in SQL, Python, Data Viz. tools (Tableau/Power BI) as well as exposure to Media Platforms like CM360, Google Ads, Meta etc.

Please suggest to me if you have any references OR apply on link below !

Location: Bengaluru, Mumbai, Pune & Gurgaon


https://dentsuaegis.wd3.myworkdayjobs.com/DAN_GLOBAL/job/Pune/Senior-Analyst_R1072991-1

Steps to 𝐆𝐞𝐭 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐂𝐚𝐥𝐥𝐬 from LinkedIn:

1. 𝐀𝐩𝐩𝐥𝐲 𝐃𝐚𝐢𝐥𝐲: Submit applications for 30-40 jobs daily to increase visibility.

2. 𝐃𝐢𝐯𝐞𝐫𝐬𝐢𝐟𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Apply for various job types, not just "easy apply" options.

3. 𝐀𝐩𝐩𝐥𝐲 𝐏𝐫𝐨𝐦𝐩𝐭𝐥𝐲: Turn on job alerts and apply as soon as positions are posted.

4. 𝐒𝐞𝐞𝐤 𝐑𝐞𝐟𝐞𝐫𝐫𝐚𝐥𝐬: For dream companies, quickly request referrals from employees. Connect with several people for better chances.

5. 𝐁𝐞 𝐃𝐢𝐫𝐞𝐜𝐭 𝐟𝐨𝐫 𝐑𝐞𝐟𝐞𝐫𝐫𝐚𝐥s: Don't start with "Hi" or "Hello". Send a cold message (short and crisp) with what you need and the job link. If you get a response, you can share your resume for referral. Follow up after one day if needed.

6. 𝐀𝐩𝐩𝐥𝐲 𝐖𝐢𝐭𝐡𝐢𝐧 𝐄𝐥𝐢𝐠𝐢𝐛𝐢𝐥𝐢𝐭𝐲: Only apply or seek referrals for roles where you meet the qualifications (or close enough).

7. 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐘𝐨𝐮𝐫 𝐏𝐫𝐨𝐟𝐢𝐥𝐞: Build a network of 500+ connections, update experiences, use a professional photo, and list relevant skills.

8. 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐑𝐞𝐜𝐫𝐮𝐢𝐭𝐞𝐫𝐬: After applying, connect with job posters and recruiters, and send your CV with a cold message (short and crisp).

9. 𝐄𝐧𝐡𝐚𝐧𝐜𝐞 𝐕𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲: Keep your profile visible, send connection requests, and share relevant content.

10. 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧 𝐑𝐞𝐪𝐮𝐞𝐬𝐭𝐬: Customize requests to explain your interest.

11. 𝐄𝐧𝐠𝐚𝐠𝐞 𝐰𝐢𝐭𝐡 𝐂𝐨𝐧𝐭𝐞𝐧𝐭: Like, comment, and share posts to stay visible and expand your network.

12. 𝐒𝐡𝐨𝐰𝐜𝐚𝐬𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Publish articles or posts about your field to attract potential employers.

13. 𝐉𝐨𝐢𝐧 𝐆𝐫𝐨𝐮𝐩𝐬: Participate in industry-related LinkedIn groups to engage and expand your network.

14. 𝐔𝐩𝐝𝐚𝐭𝐞 𝐇𝐞𝐚𝐝𝐥𝐢𝐧𝐞 𝐚𝐧𝐝 𝐒𝐮𝐦𝐦𝐚𝐫𝐲: Reflect your current role, skills, and aspirations with relevant keywords.

15. 𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬: Get endorsements from colleagues, managers, and clients.

16. 𝐅𝐨𝐥𝐥𝐨𝐰 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬: Stay updated on job openings and company news by following your target companies.