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

Accenture; Remote; PKR 1,800,000 - 2,500,000; Full time

Job summary

A global consulting firm is seeking an AI Decision Science Consultant to join their Data & AI practice. This role involves leveraging advanced analytics and machine learning to drive data-driven marketing strategies. Candidates should have over 4 years of experience in marketing analytics and a strong educational background in statistics or related fields. The position requires excellent client management and communication skills with a focus on developing trusted relationships. A hybrid work model is available for the right candidate.

Qualifications

• 4+ years in Marketing analytics.
• 3+ years in commercial analytics.
• Experience with non-linear optimization techniques.

Responsibilities

• Define data requirements for analytics capability.
• Analyze, interpret, and clean data.
• Develop and Manage data pipelines.
• Manage client relationships and expectations.
• Provide data-driven insights to clients.

Skills

Client Management

Verbal and written communication

Team collaboration skills

E-mail writing

PowerPoint reporting

Excel reporting

Education

Bachelor/Master’s in Statistics/Economics/Mathematics/Computer Science

Advanced degrees (M.Tech, M.Phil/Ph.D)

Tools

Azure ML Tech Stack

SQL

PySpark

Python

Tableau

React

Angular

Job description

Job Overview

Management Level: Ind & Func AI Decision Science Consultant – Level 9

Location: Gurgaon / Bangalore / Mumbai / Hyderabad

Functional Area

Functional: Commercial Analytics (Route to market), Revenue growth management - pricing, promotion, assortment, Descriptive, Diagnostic, Predictive, prescriptive analytics

Analytics Models Knowledge

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

Technical: Azure ML Tech Stack, SQL, PySpark, Python, Cloud Platform Experience (Azure, GCP), Data architecture, Data modeling & Pipelines, Power Platform (BI + App), Tableau, Custom Frontend

Soft Skills

Soft skill: Client Management, Verbal and written communication, Team collaboration skills, e-mail writing, PowerPoint and Excel reporting, pro-active initialization, accountability

Industry Knowledge

Industry Knowledge: CPG, FMCG, Retail

Good to Have Skills

Good to have skills: AWS knowledge Cloud Capability, Scalable Learning Architecture Design Patterns, AI Capability Building, React, Angular Front end build, Dev Ops pipeline creation.

Experience

Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization.

3+ years of experience in commercial analytics domain.

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.

Job Summary

As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.

Roles & 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.

Client Relationship Development

• Manage client expectations and develop trusted relationships
• Maintain strong communication with key stakeholders
• Act as a strategic advisor to clients on their data-driven marketing decisions