Associate Manager - Data Science

PepsiCo; Rangareddy; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

PepsiCo in India seeks a data analytics professional to support the Global RGM Analytics and Insights agenda, delivering solutions that drive actionable insights for markets.

You will build analyses in Python, integrate datasets, and develop predictive models to enable growth opportunities and perfect store initiatives across sectors.

Qualifications

• Bachelor's or advanced degree in CS/Technology, e.g., Data Science or Math, or equivalent experience.
• 3+ years of advanced analytics experience in Marketing or Commercial in Retail or CPG industries.
• Must know how to write SQL and extract data from databases.
• Ability to translate business and technical requirements into non-technical terms.
• Experience with large data sets and relational databases.
• Proficient in Excel and PowerPoint; strong communication skills.
• Experience using Data Bricks, Azure Stack, Tableau/Power BI, Python and other visual analytics tools.

Responsibilities

• Clean and prepare data for advanced analytics and ML projects.
• Build analyses in Python with accompanying documentation.
• Execute predictive and prescriptive analytics with actionable market insights.
• Advise and share Advanced Analytics models with Sectors and Markets to build capability.
• Develop and apply statistical models (clustering, segmentation, forecasting).
• Provide ad-hoc analyses with tables/charts for follow-ups.
• Create visualizations to explain complex insights.

Skills

SQL

Business translation

Communication

Data handling

Problem solving

Education

Bachelor’s or higher in CS/Technology/Data Science

Master’s/PhD in data science or math

Tools

Data Bricks

Azure Stack

Tableau

Power BI

Python

Excel

Job description

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

• Bachelors 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

Requirements