Lead - Acquisition & New Engagements, Partnerships Analytics

Aditya Birla Group · Not specified · onsite · Posted 40d ago

Not disclosedFresherfulltimeSourced from Foundit

About a minute. You'll make an account on the way through.

About this role

Job Description

Job Purpose:

Responsible to review and development of statistical model, validate the model and other data analysis and to deliver regular analytical requirement seamlessly specifically for credit and risk functions.

Key Challenges

Establishing the Data and Analytics practices
Team building and bonding
Enable data driven decision making culture
Stakeholder management and Cross team interactions
Handle first level of escalation
Liaise with business team and work for business goal
Thorough understanding of housing finance business and collections lifecycle
Help the business partners to grow the business

Enabling Skill Sets & Qualifications

Education in Quantitative Sciences, Statistics, Mathematics, Engineering etc

Strong Interpersonal Skills, Team player, Leadership skills, excellent written & verbal communication skill etc. Expert in coding skill in R, Python or SAS and any data visualization tool,

KRA's -

Key Result Areas (Max 1325 Characters)	Supporting Actions (Max 1325 Characters)
Understanding the challenges faced by the business and translate that into a data problem	Asking right questions Find the answers through data
Ability to work with multiple data sources	Handle data in various formats easily, including both structured and unstructured data Guide the company towards becoming a data driven organization
Collaborate with internal stakeholders	Proactively build and maintain relationships with key internal stakeholders for smooth cross-functional coordination and alignment towards achievement of business objectives Strong cross functional engagements including support functions like IT, etc. Validate, interpret, and create reports and presentations for departmental heads/management, and relevant stakeholders.
Team management	Building of skilled and effective teams in AI, ML & Data related programs Coach and mentor team members
Model/ strategy development and validation	Statistical Model Development, Validation, and other Data Analysis
Model deployment Good understanding of IT infrastructure	Help in implementing the model Knowledge in Python, R, SAS programming language and cloud infrastructure

Sourced from foundit

Skills

Analytics

About Aditya Birla Group

Aditya Birla Group

Metals & Mining

227.5k+

employees

1857

169 years old

Mumbai, Maharashtra

India

About

Aditya Birla Group is a Fortune 500 global conglomerate. The company's businesses have grown into global powerhouses in a wide range of sectors metals, textiles, carbon black, telecom and cement.

Industries

Metals & MiningFinancial ServicesBuilding MaterialRetailTelecomChemicals

Employee ratings

2,383 reviews

4.1/ 5

Culture

3.9

Career growth

3.5

Work-life

4.0

Employees rate it well for

Work Culture191Salary167Senior Management152Work Life Balance146Job Security123

Find them on

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Key Result Areas (Max 1325 Characters)

Supporting Actions (Max 1325 Characters)

Understanding the challenges faced by the business and translate that into a data problem

Asking right questions
Find the answers through data

Ability to work with multiple data sources

Handle data in various formats easily, including both structured and unstructured data Guide the company towards becoming a data driven organization

Collaborate with internal stakeholders

Proactively build and maintain relationships with key internal stakeholders for smooth cross-functional coordination and alignment towards achievement of business objectives
Strong cross functional engagements including support functions like IT, etc.
Validate, interpret, and create reports and presentations for departmental heads/management, and relevant stakeholders.

Team management

Building of skilled and effective teams in AI, ML & Data related programs
Coach and mentor team members

Model/ strategy development and validation

Statistical Model Development, Validation, and other Data Analysis

Model deployment

Good understanding of IT infrastructure

Help in implementing the model
Knowledge in Python, R, SAS programming language and cloud infrastructure