Data Analyst

The problem we solve:

Loops is redefining how data, product and marketing teams make data-driven decisions. We surface the biggest opportunities to improve your topline metrics by leveraging causal inference models and AI analytics agents.

Instead of expecting teams to hunt for insights, Loops proactively identifies why KPIs are changing, which levers you should focus on and recommends what to do next.

We work today with F500 and publicly traded brands in E-comm, B2B SaaS, Gaming, Media and Fintech.

The impact you’ll own:

• Data is the core asset of our product. You will work hands-on with large-scale datasets, shaping how data is structured, processed, and utilized within the platform.
• You’ll work deeply with raw data, structuring, transforming, and validating it to address complex data challenges, maintain high data reliability, and support data science models that drive impactful insights.
• Analyze the customers’ biggest priorities and model the data within the Loops platform based on business context and customer KPIs. This includes designing data models, defining logic, and building scalable processes for data ingestion and validation.
• Write advanced SQL queries and Python scripts to process data, automate workflows, and improve data quality across different environments.
• Work with the product teams to identify required new features and product enhancements.
• You will also have the opportunity to dive into the world of ML (yes classic ML, in addition to LLM) led by our excellent Data Science team, taking an active part in structuring the models that run behind our product’s engine.

This is a unique opportunity for people who love deep technical data work and solving complex data challenges at scale, which directly affects the company’s success. 

What do you bring?

• At least 2 years of experience in a data-related role or strong academic/project background.
• Strong SQL- ability to independently write, debug, and optimize queries across large, complex datasets, leveraging AI tools to accelerate and optimize work. MUST!
• Python (Pandas, Numpy)
• Ability to work as part of an agile and quickly growing team.
• Proficiency in English.
• Experience working with data science teams or AI-driven products, and collaborating across data and product teams to solve complex business and data challenges.
• Passion and motivation are more important than experience/degrees (or anything else)

This is a hybrid position.