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The Data Analyst role is still developing. You apply your specialty know-how to monitor, review, break down, and size up processes and information. You spot holes in rules and shape new ones. You make sense of the data and suggest next steps. You research and decode the facts. You catch inconsistent data or outcomes, lay out business problems, and recommend changes to plans, processes, or ways of working. You combine your area's core knowledge with basic grasp of related industry practices. Good understanding of how your team partners with others to meet your area's goals.
Job Description :-
Company Name | Citi Group |
Job Role | Data Analyst |
Qualification | Any Degree |
Experience | 0-3 Years |
Batch | Any Batch |
Location | Chennai, India |
CTC/Salary | Not Disclosed |
Tips to Prepare an ATS-Friendly Resume :-
Getting your resume noticed by the Applicant Tracking System is super important if you want employers to actually see it. I’ll give some tips to help make your resume look good to the computer system if you’re applying to be a Data Scientist.
1. Keep it simple. Don’t use crazy fonts, tables, or anything too wild. Stick to basics like clear section headings (“Skills,” “Experience”).
2. Load up on keywords. Pull words right from the job description – Python, Machine Learning, whatever. Show you have the technical and people skills they want.
3. Use normal job titles. “Data Scientist” or “Analyst,” not “Future CEO.”
4. Put key info in the body text. No footers! Recruiters might not see em. Keep your name, address, LinkedIn front and center.
5. Save as a .docx or .pdf file. Make sure the pdf isn’t an image or anything weird. Give it a professional name too like “FirstName_LastName_Resume”.
6. Show you got the right background. Internships, projects, anything to prove you can handle a Data Science job. Numbers help – “improved model by 15%” tells em you get results.
7. Use bullet points, not paragraphs. Easier to scan.
8. Show off certifications and schoolin’. DataCamp, Coursera courses, a math/CS degree – make em shine! 9. Nix the images and logos. Recruiters tech can’t handle em.
10. List technical skills first. Python, R, SQL – they wanna see you have these specifically.
11. Check for typos! Sloppy resumes might get tossed by the robot gatekeepers.
12. Test it out first. Free online tools can scan your resume before you submit to catch issues.
Follow this advice and you’ll be all set to pass the ATS recruiters and get that interview!
Tips for acing the job interview:-
Do’s:
– Look into the company and the stuff they need help with.
– If you don’t get something, ask them to explain More.
– Walk them through how you think about fixing problems.
– Use real examples from past work to show your skills.
– Stay calm and confident. Work through problems slowly, even if you aren’t sure.
Don’ts:
– Don’t guess if you aren’t sure. Explain your thinking.
– Keep your answers simple and clear.
– Remember to talk about teamwork, communication, and problem fixing.
– Take your time to think before answering.
– Ask good questions to show you care about the job and team.
Eligibility / Qualification:-
- Use computer programs like SAS, SQL, and Excel
- Understand databases
- Create reports, charts, and presentations to explain what the data means
- Solve real problems and come up with new ideas
- Work with others and share your thoughts clearly
- How banks work
- Finance rules
- Python or Big Data
- College degree
- 0- 3 years experience with data analysis
- Be curious!
What You Do:-
- This job covers people accountable for various data stuff. This includes managing databases, analyzing data, keeping data accurate, and database management or database design.
- You are responsible for regular day-to-day work or office work.
- Your daily work focuses on running defined processes, doing analyses and writing reports.
- More senior people will thoroughly review and check your work. You will have limited contact outside your immediate team.
- Each day you deliver routine and defined outputs. But at the same time, you are learning more about the bigger picture of what you are doing.
- When making business choices, properly judge risk, showing you care about Citigroup’s reputation. Protect Citigroup, its customers, and assets by following laws, rules and policies.
- Use sound ethical thinking regarding how you act personally and do business.
- Speak up about control issues transparently.
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