Associate Manager - Data Science

PepsiCo Inc.; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

PepsiCo Inc. in Hyderabad is seeking a skilled analytics professional to drive the Global RGM Analytics and Insights agenda, leveraging data to deliver actionable market insights across sectors and markets.

You will develop advanced analytics solutions using AI/ML, optimize data sets, and build predictive models to identify growth opportunities. Excellent communication and collaboration with Sectors and Markets are essential.

Qualifications

• Bachelor's or advanced degree in CS/Technology, e.g., a Master's degree or PhD in data science or math or equivalent experience
• 3 years+ of relevant advanced analytics experience in Marketing or Commercial in Retail or CPG industries
• Must know how to write SQL and extract data from large and small databases
• Ability to translate business and technical requirements into non-technical terms
• Demonstrated experience in handling large data sets and relational databases
• High-level written and verbal communication skills
• Provide ad-hoc analysis and deliverables as requested
• Experience using Data Bricks, Full Azure Stack, Tableau/Power BI, Python and other visualization and statistics tools
• Results oriented with ability to complete assignments timely
• Proficient in Microsoft Excel and PowerPoint with ability to learn in-house applications
• Detail-oriented with dedication to continuous improvement

Responsibilities

• Clean and prepare data for use in advanced analytics, revenue growth management, AI, and ML projects
• Build analysis in Python with accompanying documentation
• Execute predictive and prescriptive analytics with emphasis on actionable insights for market deployment
• Advise and share Advanced Analytics models with Sectors and Markets to leverage capability
• Develop, maintain, and apply statistical models to business questions including clustering, segmentation, forecasting
• Provide responses to ad-hoc follow-ups with tables/charts for relevant data
• Create visualizations to explain and clarify difficult concepts and insights

Skills

SQL

Python

AI/ML

Data Visualization

Communication

Clustering/Forecasting

Excel/PowerPoint

Databases

Education

Bachelor's or advanced degree in CS/Technology or Data Science

Tools

Azure Databricks

Tableau/Power BI

SQL databases

MS Excel

Job description

Overview

This individual will support the Global RGM Analytics and Insights agenda helping and leveraging that information to deliver solutions for driving actionable insights for the global Sector and key Markets.

Key responsibilities will be to understand data availability in different markets, develop solutions using advanced analytics, artificial intelligence, machine learning and deep learning projects to support perfect store agenda

Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities

Responsibilities

• Clean and prepare data for use in advanced analytics, revenue growth management , artificial intelligence, and machine learning projects
• Build analysis in Python with accompanying documentation
• Execute predictive and prescriptive analytics with an emphasis on actionable insights to be deployed in the market
• Advise and share Advanced Analytics models with Sectors and Markets to leverage and build Advanced Analytics capability.
• • Develop, maintain, and apply statistical models to business questions - including clustering, segmentation, forecasting etc.
• Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data
• Create visualizations to be used in explaining and clarifying difficult concepts and analytical insights

Qualifications

• Bachelor's or advanced degree in CS/Technology, for instance a Master's degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience
• 3 years + of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered
• Must know how to write SQL and extract data from large and small databases
• Ability to translate business and technical requirements into non-technical terms
• Demonstrated experience in handling large data sets and relational databases
• High-level written and verbal communication skills
• Provide ad-hoc analysis and deliverables as requested
• Experience using Data Bricks, Full Azure Stack, Tableau/Power BI, Python and other Visual Analytics and Statistics tools
• Results oriented with the ability to complete assignments in a timely manner
• Proficient in Microsoft Excel and PowerPoint with the ability to quickly learn various in-house applications
• Detail-oriented with dedication to continuous improvement