Agm/dgm-corporate Audit Services - Mumbai, Maharashtra, India - Larsen & Toubro

Deepika Kaur

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Deepika Kaur

beBee Recuiter


Description
AGM/DGM-Corporate Audit Services

LNT/-AS/93091- Head OfficeMumbai

  • Posted On
25 Jan 2024- Required Experience


Years
Skills:

Knowledge & Posting Location


ANALYTICS

PROCUREMENT

INVENTORY ANALYSIS

SALES

MARKETING

BID STRATEGY

PREDICTIVE MODELING

KPI DASHBOARDS

AUDIT REPORTS

DATA MODELLING

FRAUD DETECTION

DATA VISUALIZATION

MODEL DEVELOPMENT

  • DATA ANALYSIS AND COORDINATIONMinimum Qualification
CA,CWA,CS

CA


ICAI

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.

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