Manager- Commodity Forecasting

The Smart Cube

Location: Noida, Uttar Pradesh, India
Job type: Full-time

Required skills

Python
communication skills
econometrics
forecasting
people management
regression

About the role

The Smart Cube

Website: thesmartcube.com
Job details:

Company Description

The Smart Cube, a WNS company, is a trusted partner for high performing intelligence that answers critical business questions. And we work with our clients to figure out how to implement the answers, faster.

Job Description

Manage and execute commodity forecasting projects for different commodities for various client so Lead one or more project teams, guiding team(s) on all aspects including scoping, timelines, content, client engagement to Deliver high quality, client-ready output consistently; identify risks / issues and escalate to the reporting manager in a timely manner
Lead a team of 5-10 people while being responsible for their overall career management
Function as a “client lead”, assuming ownership of assigned client accounts – be the main point of contact for client, prioritize workflow, negotiate project timelines/scope, collect feedback and address any issues promptly, identify up-selling/cross-selling opportunities
Contribute to different organisational tasks such as hiring, training and other organizational initiatives
Responsible for the quality of the work being done in the team; Review work thoroughly to• ensure consistently high-quality output, value addition and adherence to timelines; be able to judge required level of own involvement on projects, execute parts of projects if situation so demands
Provide analysts with effective verbal/ written feedback; counsel analysts on technical as well as business skills and guide them on best practices
Keep analyst team motivated, handle difficult situations such as dissatisfaction/disagreement among team, escalate to seniors in a timely manner
Interact with clients during the course of the project and post project delivery through both emails and conference calls

Qualifications

Through knowledge of econometrics (including regression and timeseries analysis)
Proficient in R programming or python
Potential of handling a large team of 5-10 employees as a single point of contact for their daily operational needs as well as overall needs related to career aspiration, performance, expectations, team building etc.
Ability to act in the capacity of technical advisor to all the projects under his team and advise them without necessarily working on the project
Motivated, fast thinking, dynamic person with strong business acumen
Result oriented, self-driven, solution seeker
Excellent communication skills, both written and verbal
Ability to do multitasking with ease
Ability to take tough decisions with reasoning and logic
Patient, calm and composed demeanor
Quick grasp and ability to think on the feet
Proactive in reaching out to others beyond his immediate area of responsibility to help/assist
Effective in handling difficult client and people issues• Strong people management skills
Strong value system and fair and judicious in decision making
Perseverant and ‘can do’ attitude
Ability to lead by example

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Manager- Commodity Forecasting

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