Data Analyst Jobs

Data analyst starter kit:

- Become an expert at SQL and data wrangling.

- Learn to help others understand data through visualisations.

- Seek to answer specific questions and provide clarity.

- Remember, everything ends up in Excel.

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Data Analyst Jobs

The Salary Expectation Question: How to Make It a Win-Win!

📍Interviewer: What are your salary expectations for this role?

📌Interviewee: I'm looking for a competitive package that reflects my experience and the value I bring to the team. I did some research and found that the industry standard for this role ranges from Rs.X to Rs.Y.

📍Interviewer: We appreciate your research. Can you share more about what you prioritize in a compensation package?

📌Interviewee: While salary is important, I also value health benefits, opportunities for professional development, and work-life balance. I'm looking for a role where I can grow and contribute to the company's success.

📍Interviewer: It's great to hear you're looking at the bigger picture. We'll take this into account as we move forward. Any flexibility on the range?

📌Interviewee: Yes, I'm open to discussing the details and finding a package that works for both of us.

It’s okay to state your expectations confidently and be open to negotiation!

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Data Analyst Jobs

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Data Analyst Jobs

Template to ask for referrals
(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]

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Data Analyst Jobs

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

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

👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5

Like for more ❤️

All the best 👍👍

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Data Analyst Jobs

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

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Data Analyst Jobs

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.

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Data Analyst Jobs

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

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Data Analyst Jobs

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

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

👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5

Like for more ❤️

All the best 👍👍

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Data Analyst Jobs

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 😅

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Data Analyst Jobs

Jobs from USA/ UK
👇👇
https://t.me/jobs_us_uk/3

Remote Jobs in USA & UK

🚀 New Job Opportunities - Posted in the Last 24 Hours! 🌟

Data Scientist Roles:

1. Junior Machine Learning Engineer

💼 Company: Phoenix Recruitment
🌐 Location: Remote
📎 Apply Here: Link

2. Junior Data Scientist

💼 Company: Patterned Learning Career
🌐…

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Data Analyst Jobs

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

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

👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5

Like for more ❤️

All the best 👍👍

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Data Analyst Jobs

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

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

👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5

Like for more ❤️

All the best 👍👍

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Data Analyst Jobs

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

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Data Analyst Jobs

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/

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Data Analyst Jobs

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

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Data Analyst Jobs

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Data Analyst Jobs

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

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

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Data Analyst Jobs

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

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Data Analyst Jobs

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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Data Analyst Jobs

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