Lead Analyst - Knowledge Services

Infosys Limited; Bengaluru; On-site; INR 2,800,000 - 3,600,000; Full time

Job summary

Infosys Limited is seeking a Lead Analyst in Knowledge Services with 8-10 years of experience. The role focuses on retail analytics, data modeling, and advanced analytics across eCommerce and marketing domains. Proficiency in Python, SQL, R and BI tools such as Power BI and Tableau is preferred.

Exposure to syndicated data (POS Nielsen, Circana, IRI) and campaign performance measurement will be advantageous. This is a full-time position based in Bengaluru, India.

Qualifications

• Graduate with a focus on analytics or related field.
• Experience in Retail analytics and data modeling will be preferred.
• Strong exposure to data visualization and BI tools is desirable.

Responsibilities

• Experienced in Retail analytics with fundamental knowledge of Data science and Data Modeling.
• Contributed to 2-3 end-to-end analytics solution implementations.
• Domain knowledge in eCommerce, Marketing analytics, and customer behavior analysis.
• Knowledgeable in campaign performance measurement and digital channel optimization.
• Familiar with advanced tools such as Python, SQL, R and visualization tools like Power BI and Tableau.
• Syndicated data exposure such as POS Nielsen, Circana, IRI, etc.

Skills

Retail analytics

Data science basics

Data modeling

Customer behavior analysis

Campaign performance measurement

Education

Graduate

Tools

Python

SQL

R

Power BI

Tableau

Nielsen data

Circana data

IRI data

Job description

Job ID/Reference Code PROGEN-EXTERNAL-255776

Work Experience 8 - 10 Years

Job Title Lead Analyst - Knowledge Services

Educational Requirements Graduate

Service Line BPO Service Line

Responsibilities Experienced in Retail analytics with fundamental knowledge of Data science and Data Modeling.Have Contributed to 2-3 end-to-end analytics solution implementations.Domain knowledge in areas such as eCommerce and Marketing analytics, customer behavior analysis, campaign performance measurement, digital channel optimization, revenue growth management (RGM), and Textual analytics.Good to have hands on experience in leveraging advanced tools and techniques such as python, SQL, R and visualization tools such as PowerBI and TableauGood to have syndicated data exposure such as POS Nielsen, Circana, IRI, Etc