Responsibilities for Data analyst.
The candidate must be very good in English, both in verbal and written
He/ she must be from engineering background with passion to work as data engineer.
The candidate would be good in data validation / data population in part of visualization process.
The candidate would be good in Microsoft excel and PowerPoint in creating presentation
The candidate must have working knowledge in Tableau/Power BI/SPSS/Excel/Google Sheets-based quick descriptive analytics and hands-on engagement for data extraction and investigation
Data manipulation and preparation for large-scale report automation and population using Excel/SPSS/Tableau/R/Python/others.
Deep-dive analytics to explore first look at insights, using Platform reporting tools/Excel/Tableau/SPSS/R/Python/others.
Leverage customer verbatim comments to pull in relevant support stories for the insights story on slides.
Insightful headline writing on slides
Create visually attractive graphs/charts to convey data driven stories.
Qualifications
The individual holds an engineering degree with a background in BE, Btech, Mtech, BCA, MCA, and MSC, specializing in Computer Science, Electronics and Communication, and Statistics.
Experience: Fresher invited for this requirement.
Proficiency in English is compulsory, and convent educated is added advantage.
Candidate should have good knowledge in database query writing skills
Candidate should have good analytical and issue debugging skills
Excellent written and verbal communication skills. Eager to learn new technologies.
Proficiency in MS Office and specially in excel and writing macro in excel
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 23rd Sep'24 and 28th Oct'24
3. are available for duration of 6 months
4. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
Futurlytic Private Limited is a new start-up organization located in Bangalore. We work in the field of data analytics. We believe that the world is moving and trusting towards more social media data in the era of digital transformation. However, the challenge lies in how to make these data more useful to solve business problems and transform the data into opportunities. We are working with an eminent US client who is an industry leader in translating the text into profitable decisions and making state-of-the-art cloud. It deals with on-premises text and sentiment analysis technologies that transform customers' thoughts and conversations into actionable insights.
