Analytics Engineer
Summary
Build and maintain scalable dashboards and datasets for retail/e-commerce clients using SQL, BI tools, and cloud data warehouses to turn data into actionable insights.
We’re a seasoned team of strategists, industry experts, designers, engineers, and data experts who know what it takes to grow retail and how to push things forward.
With deep roots in the industry, we connect people, systems, and experiences, leveraging cutting-edge data engineering, AI solutions, and advanced software and hardware to help retailers move faster, scale smarter, and deliver real results.
From brand to backend, and from data architecture to AI-powered insights and hardware integration, we build with intention; so every part of your retail business works better, together
About the Role
Retailogists is looking for an Analytics Engineer to join our engineering team. You’ll own the design, delivery, and optimization of business-critical dashboards that turn data into action.
Responsibilities
- Develop a deep understanding of analytics and BI in the retail and e-commerce domain
- Build and maintain scalable, high-impact dashboards
- Create and optimize datasets
- Take end to end ownership of the BI and Analytics Layer
- Work across multiple stacks for different clients (AWS, GCP, Azure).
- Collaborate with data engineers, analysts, and product teams
- Work on other interesting projects with different tech stacks
Qualifications
- Excellent SQL skills with an ability to translate ambiguous data requests into precise queries
- A business-focused mindset with an obsession to deliver business value
- Excellent communicator and strong team collaborator
- 2–3 years in Analytics Engineering / BI Development
- Strong hands-on experience with at least one BI framework: Metabase or AWS QuickSight preferred
- Solid understanding of AWS data services (S3, Athena, Redshift)
- Experience with a distributed data warehouse: Bigquery / Snowflake / Redshift etc.
- Experience with Semantic Modelling – DBT or similar tools
- Experience with dashboard UX, data visualization, and storytelling
- Comfortable translating business needs into reliable analytics solutions
- Experience with using modern Gen AI in engineering workflows (for example: Cursor, Claude, etc.)
Nice to have
- Retail, fashion, or wholesale experience (ERP / supply chain a plus)
- Relevant open source profile or academic/industry collaborations
- Bachelor’s or Master’s degree in Data Science / Analytics, Computer Science or any related field