Job Description

:

Qualification : B Tech with MBA in Finance

Experience : 11 to 14 years

Computer Skills : Good knowledge of data nalysis, managing and analysing big data, MS Office, Knowledge on ERP like SAP

Behavioural Competencies :

A good team player with interpersonal Skills, should also possess quick learning and grasping skills.

To have a career growth in the company. Should also have a good analytical skill.

Purpose of the position :

Undertake pre-processing of structured and unstructured data to ensure that raw data is converted in understandable format for further analytics. Analyse big data which will help in audit by exception. Should agree to travel across different locations in India and abroad.

JD for Data Scientist / Analyst:

• Undertake pre-processing of structured and unstructured data to ensure that raw data is converted in understandable format for further analytics.

• Analyse Big Data for various aspects like Procurement, Inventory, Sales, Marketing, Bidding, man to discover trends and patterns

• Build predictive models and learning algorithms for data analytics e.g. with regards to real estate pricing, sales, P&M trends, etc.

• Present information and dashboards (like Audit status, real time triggers and fraud risk indicators) through data visualisation techniques

• Collaborate with different Divisions for refining automation efforts i.e. structuring appropriate input data for further analytics and model development

• Removing corrupted data from data models and fixing coding errors and related problems

• Analysing Local, National and Global trends in Data Analytics for refinement and real time development of data models

• Preparing reports with trends, patterns and predictions using relevant data for various processes

• Maintaining a repository of Data Models and modifying the data models on a continuous basis

• Continuous improvement suggestions in reports and trends for data analytics

• Identify valuable data sources like government websites and automate collection process. This will help to serve as a benchmark for analysis of various areas like procurement prices, industry practices, etc.

• The candidate is expected to have extensive knowledge in using IT applications, develop SQLs in various data bases to manipulate the data, have mastery in Excel, Oracle, SAP and other software\xe2\x80\x99s of common usage.

• Candidate has intuitive ability to analyse, discern, engage himself in the mass of data, interpret the findings, come to definitive conclusions, and guide the people to correct validation of hypothesis.

Larsen & Toubro