Job Description
Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication
Good to have skills:Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail
Job SummaryAs 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 optimizationWorking 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 DevelopmentManage client expectations and develop trusted relationshipsMaintain strong communication with key stakeholdersAct as a strategic advisor to clients on their data-driven marketing decisions
Professional & Technical Skills:Must have at least 4+ years of work experience in Marketing analytics with a reputed organization.3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimizationExpertise in Azure ML, SQL, R, Python, PySparkProficiency in non-linear optimization and resource optimizationFamiliarity with design patterns for deploying and maintaining ML models in productionStrong command over marketing data and business processes in Retail and CPGHands-on with tools like Excel, Word, PowerPoint for communication and documentation
Additional Information:Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic recordKnowledge of CPG, Retail industry.Proficient in Excel, MS word, PowerPoint, etc.Strong client communication.QualificationExperience:Must have at least 4+ years of work experience in Marketing analytics with a reputed organization.3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.
Educational Qualification:Bachelor/Masters 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 Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics
Role: Analytics Consultant
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Noida, Gurugram
Keyskills:
Python
Azure ML Tech Stack
Azure ML
Azure
R
AI/ML Model Development
Cloud Platform Experience
GCP
PySpark
AWS
SQL
