Job Description

General Description This position is part of the team that is responsible for the core operations in the Group regarding pricing, indexing and content development of specific commodity. Position -Senior Associate / Associate ( Data and Statistics - Logistics). Reporting To - Senior Analyst / Analyst (Data and Statistics - Logistics). Location - Raipur, Chhattisgarh Experiences: 5 to 8 yrs Salary: 60,000 to 80,000 Call: AARTI +91-XXXXXXXXXX Job Responsibilities The following are the major areas of responsibility:- \xe2\x80\xa2 Responsible for the rigorous liaising and query activities related to processes of deriving accurate and realistic commodity pricing of iron ore.

• Ensure adherence to IOSCO principles as per norm in the team regarding transparency of pricing development mechanism and client grievances handling. \xe2\x80\xa2 Ensure development of high calibre content.

This would be ensured by continuous adherence to the Content Development Guidelines (CoDeG) through periodic audit of articles and ensuring that the drawbacks noticed during audit are rectified.

• Carry out regular interaction with important Data Points / Partners (DPs) assigned, developing high standard of working relationship as well as developing new DPs. Key Competencies and Skills required

• The candidate should have been a high achiever academically and B.E / B.Tech (preferably mech) and MBA from reputed Institute with an experience of around one to three years in.

• Verbal communication skills (along with body language etc.) should be of very high order, with high fluency levels in spoken English. \xe2\x80\xa2 He / she should have good writing skills to be capable of developing high standard of analytical articles, insights, e mails and other periodic reports.

Job Types: Full-time, Regular / Permanent Salary: 960,000.00 - 980,000.00 per year Schedule:

• Day shift
• Morning shift

Ability to commute/relocate:

• Raipur, Chhattisgarh: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Data analytics (Preferred)

Speak with the employer
+91 +91-XXXXXXXXXX