About The company:

We are a trusted and committed global IT Solutions and Services firm aiming to partner with the top-notch enterprises to provide World Class IT solutions to our clients at competitive rates. Our Business Intelligence & Analytics solutions empower businesses to turn their data into a profit-making asset. Few of our recognitions are:

• Ranked 18th in Financial Times out of 1000 High-Growth Companies Asia Pacific List
• Ranked 1st fastest growing technology company in India, on Deloitte Tech Fast50, 2017
• Ranked 3rd fastest growing technology company in India, on Deloitte Tech Fast50, 2016
• Awarded "Innovative Partner of the year" at Qlik Partner Conference, 2016

Elite Qlik Partner & a member of the "Qlik Partner Advisory Council' for APAC Region

Website: NA

Job Profile: Advanced Analytics- SAS/Python

Job Location: Noida

Desired experience: Fresher

Course Specialization: Any Graduate

Batch: 2017-2018

Training/Probation Period: 3 Months

Salary: INR 5.25 LPA ( 3 months of probation period in which stipend will be paid INR 12000)

Bond: 2 Years

Service Agreement - 2 Years agreement with a payback clause of 2,00,000 Rupees towards Bond value (Cheque towards Bond Value that is 2,00,000 need to be given at the time of Joining) 

Date of Joining: Immediate

Tentative Interview Date*: Will be communicated post registration window is closed

*The shortlisted candidates will be sent Admit Cards/Call Letters on their registered mail Id, which they will need to carry on the date of Interview. No candidate will be entertained by the company without the formal intimation from Aspiring Minds.

Skill Set Required:

-Knowledge of SAS or Python and SAS/Python certification will be an added advantage

-Should have decent communication and presentation skills

-Shouldn’t shy away from a challenge, is curious and looking to make a big impact

Job Duties/Responsibilities:

-Drawing strategic insights through advanced analytical platforms

-Should have excellent command on SQL ; knowledge of SAS or Python

-Help solve analytically complex client problems across different industries and functions

-Should have knowledge of turning significant amounts of data into informative/insightful actions through various statistical techniques that turn into significant business results

Interview Process:

- Face to Face Interviews