Careers at Analytics 4 Retail
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Join a team that’s reshaping data in retail — one solution at a time.
We’re a fast-growing data consultancy focused on modern retail, wholesale, and e-commerce. At Analytics 4 Retail, you’ll work with cutting-edge tech, global clients, and a passionate, expert team that values impact, quality, and ownership. Whether you’re a builder, analyst, or strategist — we’re hiring.
Why Work With Us?
- Remote-First: Work from anywhere in LATAM — or beyond.
- Top-Tier Clients: Build real products with real impact for U.S. retailers.
- Career Growth: Access to training, mentorship, and leadership tracks.
- Strong Culture: Outcome-focused, respectful, and collaborative.
- Competitive Pay: Compensation in USD, way above LATAM average.
Your Dream Work Environment
Culture
- We encourage a culture of mutual trust, where everyone has access to everything. Nobody will micro-manage you, because we know that every member shares the company's values and vision.
- We care about our members, which is why we offer exceptional benefits and career opportunities. Someone is always available to help when needed; we are a company that encourages everyone to grow.
What We Value
- You are passionate about data and technology, you love what you do but also like being challenged and constantly learning new things, that's why we are completely flexible with our members.
- We love people who know how to fail and embrace it, we appreciate someone who knows how to rise up stronger when being down, and also that keeps improving themselves and helps others do the same!
Apply for the role you are more passionate about
We always have these positions open. Seniority, specific clients, and tech stack come in later. We just want to know who wants to work on what. Don’t worry too much about your past experience, find the best fit for your future goals!
Data Engineering
Design, build, and optimize data pipelines and infrastructure using tools like Airflow, Spark, dbt, and Snowflake.
Cloud & DevOps
Manages, automates, and optimizes infrastructure, services, and applications hosted on cloud platforms like AWS, GCP, or Azure.
Security
Protects systems, data, and networks from breaches, attacks, and unauthorized access.
BI & Data Analysis
Translate complex data into actionable insights for our retail clients, building reports, dashboards, and KPIs.
Data Science
Develop predictive models, customer segmentation, and optimization solutions using advanced ML techniques.
AI/ML Engineering
Build AI-powered tools, agents, and assistants. Productionize and deploy ML and AI models to the cloud seamlessly.
Project Management
Manage project delivery across cross-functional teams, define product vision, ensuring milestones and client satisfaction.
Quality Assurance
Ensure quality across data pipelines, dashboards, and deployments with both manual and automated testing.
Data Steward (Governance)
Responsible for ensuring that data in their domain is accurate, well-defined, and properly governed so it can be reliably used across the organization.