S&C Global Network - AI - Song - Growth Analytics- Analyst at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

CPG, FMCG, RetailIndustries

Requirements

Must-have skills: Functional - Commercial Analytics (Route to market), Revenue growth management - pricing, promotion, assortment, Descriptive, Diagnostic, Predictive, prescriptive analytics
Analytics Models knowledge: Econometric Modeling, Statistical Timeseries Models, Store Clustering Algorithms, Causal models, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, non-parametric models, AI/ML model development, Supervised and unsupervised learning models, Agentic frameworks, Generative AI models
Technical skills: Azure ML Tech Stack, SQL, PySpark, Python, Cloud Platform Experience (Azure, GCP), Data modeling & Pipelines, Power Platform (BI + App), Tableau, Custom Frontend
Soft skills: Client Management, Verbal and written communication, Team collaboration skills, e-mail writing, PowerPoint and Excel reporting, pro-active initialization, accountability
Industry Knowledge: CPG, FMCG, Retail
Good to have skills: AWS knowledge Cloud Capability, Scalable Machine Learning Architecture Design Patterns, AI Capability Building, React, Angular Front end build, Dev Ops pipeline creation
Experience: Must have at least 2+ years of work experience in Retail and/or CPG with a reputed organization (specifically in Retail/CPG - Marketing analytics)
Educational Qualification: Bachelor/Master’s degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions
Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP)
Must have knowledge of building price/discount elasticity models and conduct non-linear optimization
Must have good knowledge of NLP models, Large Language Models and applicability to industry data
Must have AI capability

Responsibilities

Working through the phases of project
Define data requirements for Data Driven Growth Analytics capability
Clean, aggregate, analyze, interpret data, and carry out data quality analysis
Knowledge of market sizing, lift ratios estimation
Experience in working with non-linear optimization techniques
Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability
Hands on experience in state space modeling and mixed effect regression
Development of AI/ML models in Azure ML tech stack
Develop and Manage data pipelines
Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models
Working knowledge of resource optimization
Working knowledge of NLP techniques, Large language models
Manage client relationships and expectations and communicate insights and recommendations effectively
Capability building and thought leadership
Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials
Task Management – Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress

Skills

Commercial Analytics

Revenue growth management

Econometric Modeling

Statistical Timeseries Models

Store Clustering Algorithms

Causal models

State Space Modeling

Mixed Effect Regression

NLP Techniques

Large Language Models

AI/ML model development

Supervised learning

Unsupervised learning

Agentic frameworks

Generative AI

Azure ML

SQL

PySpark

Python

Azure

GCP

Data modeling

Data Pipelines

Power Platform

Tableau

Client Management

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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