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As an Assistant Manager working on Power BI stuff, your main goal is to use data and visualization to drive change and innovation.you’ll be the data visualization and analytics guru who makes numbers tell stories. And your tech wizardry will help push innovation! It’s a pretty sweet gig for any data nerd.
Job Description :-
| Company Name | Genpact |
| Job Role | Management Trainee – Power BI Developer |
| Qualification | Any Degree |
| Experience | Fresher/ Experienced |
| Batch | 2024 |
| Location | India-Noida |
| 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:-
- College degree or work experience equal to that
- Hands-on work with data analysis and Power BI
- Know your way around VBA, SQL, PL-SQL, Python
- Great at using Power BI to make reports and dashboards
- Get the basics of data modeling
- Some experience with Power Automate to automate workflows
- Familiar with cloud platforms like Azure or AWS
- Excel expert – pivot tables, lookups, complicated formulas
- Excellent writing and speaking skills
- Work well on teams and with others
- Basic knowledge of SAP/ERP systems would be good
- Some background in advanced analytics and machine learning would be a plus
- Experience with tools like Tableau or Qlik Sense would be
What You Do:-
- Design smart systems to organize information and pull reports. I’m good at figuring out easy ways to set this stuff up.
- Use tools to automate repetitive workflows. This saves everyone time and headaches.
- Write SQL queries to pull and combine data. I can dig into databases and extract what people need.
- Analyze information with Python to find trends and patterns. I enjoy exploring data to find hidden gems.
- Use VBA to scrape web data, connect systems, and automate boring tasks. This makes life easier.
- Work with teammates on new innovations and projects. Brainstorming with smart people leads to lightbulb moments.
- Explain technical ideas in simple terms. I break down complex topics so everyone is on the same page.
- Improve data quality and reporting by finding gaps. Consistent information leads to better decisions.
- Keep learning about new technologies for analysis. There are always new tools to try that can provide a boost.
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