Analytics Engineer

• About Us
• Retailogists is your comprehensive retail partner dedicated to optimizing your ROI. Leveraging cutting-edge technology and data-centric digital marketing, we fuel your business growth and help you achieve your objectives. Our seasoned experts simplify the complexities of eCommerce, from devising effective digital strategies to crafting high-performance transactional platforms and executing intelligent marketing plans.
• We excel in streamlining your business operations through automation and synchronization, covering areas such as transactional solutions for both B2C and B2B, merchandising, logistics optimization, and systems integrations, including ERP, inventory, and CRM.
• We also specialize in building state-of-the-art data infrastructure that empowers you with actionable business insights, ranging from straightforward reporting to AI-driven decision-making.

• About the Role
• Retailogists is seeking a strategic, analytical, and results-driven Analytics Engineer to join our engineering team and work with one of our key clients.
• The ideal candidate will own the design, delivery, and optimization of business-critical dashboards that turn data into action, with hands-on experience in AWS QuickSight and modern cloud data platforms.

Responsibilities

• Build and maintain scalable, high-impact BI dashboards using QuickSight for client projects.
• Create and optimize datasets using technologies such as S3, GCS, Athena, and BigQuery.
• Administer BI tools, including users, security, permissions, and cost controls.
• Automate data quality, accuracy, and performance monitoring across dashboards.
• Collaborate with engineers and business/product teams in an agile setup.
• Contribute to analytics standards, documentation, and best practices.
• Contribute to internal innovation in the areas of data, analytics, and LLM-assisted/agentic data workflows.

• Required Qualifications
• Minimum three years of experience in analytics engineering and/or dashboard development on agile teams.
• Proficiency in translating complex business needs into formal technical data specifications and precise SQL.
• Strong foundations in analytics data modeling and design.
• Clear communication and strong team collaboration across departments.
• Hands-on experience with AWS QuickSight and administering QuickSight IAM.
• Hands-on experience with AWS data services, including S3 and Athena.
• Working knowledge of SQL execution and cost impact on distributed query engines like Athena.
• Hands-on experience with dashboard UX, data visualization, and storytelling.
• Hands-on experience using modern Gen AI in engineering workflows (for example, Cursor, Claude).

• Nice to have
• Retail, fashion, or logistics/supply chain experience.
• Experience with ERP systems.
• Experience in academia/industry collaborations.
• Bachelor's or Master's degree in Data Science/Analytics, Computer Science, or a related field.
• Core Competencies
• BI dashboard development
• AWS QuickSight administration
• Data modeling
• SQL
• Athena and distributed query cost management
• 3 / GCS / BigQuery
• Data quality automation
• Dashboard UX and storytelling
• Agile collaboration
• Gen AI-assisted engineering workflows

Candidate must be able to work in Eastern Time.