About the job
About Loyalytics
Loyalytics is a fast-growing Analytics consulting and product organization based out of Bangalore. We work with large retail clients across the globe helping them monetize their data assets through our consulting assignments and product accelerators. We are a young dynamic team of 100+ analytics practitioners working on some of the most cutting-edge tools and technologies.
Who We Are
- Technical team: A team full of data scientists, data engineers and business analysts who work with 1M+ data points every day.
- Market Size: Massive multi-billion $ global market opportunity.
- Leadership: Combined experience of 40+ years of experience in the industry.
- Customers: Word-of-mouth and referral driven marketing to acquire customers like big retail brands in GCC regions like Lulu, GMG, among others (Strong product-market fit).
- What makes us stand apart: 8 years old bootstrapped and 100+ people company that is still hiring.
About The Job
We are seeking individuals who possess a strong command of extensive and diverse datasets and are adept at utilizing technologies such as databricks to address and enhance Merchandising challenges.
Responsibilities
- Engaging in collaborative consultations with clients to define the parameters of data science problems and facilitate their integration.
- Formulating precise mathematical representations of business challenges, complete with testable hypotheses.
- Developing statistical, machine learning, or mathematical solutions to rigorously test and optimize automated business solutions.
- Implementing and deploying algorithms and solutions within a comprehensive big data environment.
- Establishing expertise as a subject matter and data specialist within the intricate domain of Merchandising.
Requirements
- Total Experience:4+ Years
- Retail analytics experience is a must
- Within retail should have worked in at least any one of the following domain areas:
- Promotion analytics
- Pricing analytics
- Customer analytics
- Assortment analytics
- Coding proficiency: Should be hands on in at least 2 of the below mentioned coding languages:
- SQL
- Python
- PySpark
Benefits
- Be a part of the dynamic and fun team, making an impact in the retail tech industry with clients like Lulu, Aster, GMG etc.
- Flexible Work Hours.
- Wellness & Family Benefits.
- Access to various learning platforms.
