Senior Manager - Analytics - Centre of Excellence - Digital Value Acceleration Team

Job Description

Organisational Profile

1. Name :

2. Current Position

a. Role Title and Designation Senior Manager - Analytics

b. Department / Function Analytics Centre of Excellence, Digital Value Acceleration Team

c. Location Kalinganagar, Bhuwaneshwar

d. Impact Level IL-4

e. Executive Head VP (Operations)

3. The Context / Purpose of the Job

- To develop solutions based on advanced analytics (machine learning, ANN etc.).

- To develop visualization of data to reveal hidden insights

- To implement insights and analytic findings for deriving business benefit.

- To develop and maintain solutions (.net, R, Python etc)

4. Position in organisation hierarchy

I. Designation(s) and name(s) of person(s) you directly report to :

Administratively Functionally

Head - Analytics and Digital value acceleration Head - Analytics and Digital value acceleration

II. Designation(s) and name(s) of person (s ) who directly report to you :

Administratively Functionally

1. NIL 1. NIL

5. Job responsibilities

S. No. Key Objective / Overall Job Responsibility

1. No. of projects related to advanced analytics

2. Productivity and cost related improvements based on the results generated from analytic solutions

3. Continuous improvement of solutions implemented on a frequent basis

b) Major tasks & responsibilities

Sl. No. Major Tasks & Responsibilities R/A/C/I % Time Spent KPIs

(Units to be tracked - volumes, turnover, cost, productivity, savings.) Results Expected

1 To analyse manufacturing, marketing and supply chain processes (most often in a project environment) and develop ideas to generate insights and improvements R 40 Quality of ideas and insights Development of process insights

1. To develop customized advanced analytics solutions for improving yield, cost and productivity of various operations. R 40 Improvement savings Improvement of cost and operational efficiencies

2. To develop expertise on state of the art advanced analytics algorithms R 20 New techniques imbibed Continued capability enhancement

6. Other Information

(a) What is the nature and magnitude of impact for your role-

Area of Impact Magnitude (in INR) Nature of Impact (Direct/Indirect)

Revenue/Sales

Manufacturing/ Admin Cost 50-100 lakhs Direct

Department/ Project Budget

Asset Value

(b) Describe below your internal and external contacts.

(Internal means - Internal to the company; External Means - external to the company)

Designation of persons required to be contacted Purpose Formal / Informal How Often-

Internal Chiefs of Iron and steel manufacturing units, Raw material, CSD, marketing, Shikhar 25 Customers Formal/informal On a weekly basis

Automation, ITS, Technology groups Collaboration partners Formal/informal As and when needed

External Industrial Collaborators Know-how Formal As and when needed

Academic institutions knowledge Informal As and when needed

7. Knowledge, skills and experience

Educational qualifications ( Threshold educational background required to execute the role ) B Tech/ BE, M.Sc.(Maths) or M Tech/ MS or equivalent in Mechanical/Metallurgical/ Electrical/ Electronics/ Computer Science/Instrumentation/Industrial Engineering/Operations Research or in any other relevant discipline.

Relevant experience (Type/ Nature and years of relevant experience required to execute the role) Min. 2-4 years of experience

Experience related to advanced analytics (Machine learning, Deep learning, Fuzzy logic, data visualisation, statistics, Derived data analysis etc). Programming and process trouble-shooting experience will be preferred. Exposure to mathematical modelling will be preferred. Understanding of statistics and statistical modelling will be required.

Good process knowledge related to supply chain, iron and steel manufacturing, marketing or mining/mineral processing is preferable. Programming skills using a high level language (preferably in .net environment) will be necessary. Knowledge on data acquisition, analytics, statistics and other mathematical modelling tools will be useful. Sound concepts on Big data analytics will be helpful.

Threshold skills and capabilities required to execute the role Technical Competencies

- Statistics, Data analytics, Artificial intelligence, programming, system engineering and flow design, Logic building, Scenario analysis

Behavioural Competencies

- Learning inclination, Collaboration, Achievement orientation, change orientation,