Business Analyst

CSi - LANDMARK GROUP; Bengaluru; On-site; INR 800,000 - 1,400,000; Full time

Job summary

CSi, the Customer, Strategy & Intelligence division of Landmark Group, is seeking analytics professionals with 2.5–4.5 years of experience. Candidates should hold a quantitative degree and have hands-on experience in retail analytics, including inventory optimization and pricing analysis.

The role requires Python and SQL proficiency, with PySpark as a bonus, and a strong ability to derive actionable business insights from data using forecasting, segmentation, and ensemble techniques.

Qualifications

• 2.5 to 4.5 years of experience in analytics or related field.
• Bachelor’s or master’s degree in a quantitative discipline.
• Experience in retail analytics areas such as inventory, location optimization, assortment planning, pricing, or shelf optimization.
• Proficiency in Python and SQL is a must; PySpark is a plus.
• Expertise in predictive analytics techniques (classification, regression, clustering, time series, demand forecasting) and model ensembles.
• Experience with visualization tools like Power BI, Tableau, or QlikView.
• Strong communication skills and ability to translate data insights into business actions.

Skills

Python

SQL

Pyspark

Time series

Forecasting

A/B testing

Tree-based models

Presentation

Education

Bachelor's or master's in quantitative discipline

Tools

Power BI

Tableau

QlikView

Job description

About CSi (Customer, Strategy & Intelligence)

CSi is the Customer, Strategy & Intelligence division of Landmark Group Globally. It brings together the former DLL (Data Labs Landmark), the Group Loyalty function (Shukran), Partnerships, Performance Marketing, and Martech.

Who are we looking for?

• Experience: 2.5 to 4.5 years
• Bachelor’s or master’s degree in any quantitative discipline. Candidates from Economics, Statistics, Operations Research or mathematics background from reputable institutions will be preferred.
• Experience of working in areas of retail like Inventory Management, Location/Space optimization, Assortment Planning, pricing, shelf placements.
• Expertise in programming language such as Python, SQL is a must and Pyspark good to have.
• Expertise in predictive analytics techniques around Optimization, classification or regression, clustering, A/B testing, Time Series, demand forecasting, Tree-based algorithms and model assembling techniques.
• Expertise in visualization tools such as Power BI, QlikView, Tableau, etc.
• Excellent verbal and written presentation skills Attention to detail and ability to work in high pressure environment.
• Strong drive and passion to deliver business impact through retail Analytics.
• Strong business acumen and ability to translate data insights into meaningful business recommendations.