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Morningstar Indexes needs a smart and creative person for its Index Team. This team keeps Morningstar's indexes running smoothly across different types of assets. They also make tweaks to the indexes' methods sometimes and provide research to help clients. Handling tricky corporate events, following regulations, and making production more automatic are big parts of the job too.
Job Description :-
| Company Name | Morning star |
| Job Role | Data Research Analyst |
| Qualification | Any Degree |
| Experience | 0-1 years |
| Batch | Any Batch |
| Location | Navi Mumbai, 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:-
- A college degree is a must.
- A master’s would be awesome but not required.
- Experience with money stuff and shares and corporate action type things would be a plus too—like 0-2 years.
- You’ll need to be good with basic tools to organize all the data we have.
- Some SQL skills help dig into it more.
- Excel can’t be just a random program to ya.
- And knowing your way around the stock market and different securities—that’s pretty crucial.
- Working with teams across the world ain’t easy but you gotta be willing.
- Quality matters more than speed but tight deadlines are normal.
- For real though, you gotta really feel our core values deep down.
- And innovation’s gotta pump through your veins.
- If that’s you, you’re gonna thrive here.
What You Do:-
- Really understanding the ins and outs of market and reference data – like how many shares are out there, who owns them, and stuff.
- Knowing all about the different stock markets, their rules, their calendars – the basics.
- Finding and double checking the data we use to build and update our indexes.
- Getting how corporate actions like stock splits impact the data on companies, stock prices, number of shares, and who owns what.
- Testing out system upgrades and making sure the data checks out.
- Creating dictionaries and dashboards to keep track of all the data.
- Owning the process and constantly finding ways to improve it and make the data more awesome.
- Managing the data based on what clients need, but still hitting Morningstar’s goals.
- Spotting issues in our systems, processes, or data collection methods and suggesting fixes to make things run smoother, work better, and keep improving the data.
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