Analytics And Automations Engineer - Supply And Demand Scommerce

About The Team

The Supply & Demand Analytics and Automations Engineer will drive the transition from manual, people-dependent execution toward scalable analytics and automation infrastructure. This role focuses on building visibility across operations, establishing reliable reporting, and designing sustainable workflows to improve decision-making speed, accuracy, and control as the business scales

Job Description

Solution Development & Automation

• Build and maintain sophisticated SQL- and Python-based solutions to drive departmental reporting and automation.
• Identify and execute high-impact opportunities to automate repetitive workflows and manual operational tasks.
• Develop and refine scripts and internal tools to reduce organizational dependency on manual data intervention.
  
  

• Design and deploy advanced dashboards and trackers to provide "single source of truth" visibility for operational and business teams.
• Audit and improve data quality and reporting clarity, ensuring that metrics across the funnel—including sourcing, onboarding, and activation stages—are actionable.
• Monitor performance KPIs through a robust and reliable reporting infrastructure.
  
  

• Translate ambiguous, messy business problems into structured technical requirements for reporting or automation.
• Design scalable, long-term workflows that balance speed and accuracy to deliver high-impact results.
• Maintain a clear-headed approach under pressure to ensure technical solutions address long-term organizational goals rather than short-term fixes.
  
  

• Partner with Operations, Commercial, BI, and other cross-functional stakeholders to resolve operational blockers and improve funnel performance.
• Investigate and resolve the underlying root causes of operational issues, moving beyond merely reporting symptoms to proactively improving systems.
• Communicate complex technical concepts simply and effectively to diverse stakeholders to align on priorities and deliverables.
  
  

• Bachelor’s degree in Engineering, Computer Science, IT, Analytics, Economics, or related quantitative field
• 2–3 years of professional work experience
• Proven track record of building automations, scripts, or internal dashboards that solve real-world business problems
• Experience working in ambiguous or fast-changing environment
  
  

• Advanced SQL: Proficiency in complex data extraction and validation to transform unstructured data into clean, actionable reporting.
• Python: Working knowledge for developing end-to-end automation, reporting, and data workflows.
• Data Fundamentals: Strong mastery of Excel and Google Sheets for rapid prototyping and data management.
• Strategic Communication: Ability to interface with diverse stakeholders and translate technical outputs into business value
• Mindset: Highly self-driven, execution-focused, and possessing a strong ownership mindset to operate independently with minimal instruction.
  
  

• Experience in Operations, Logistics, E-commerce, BI, or Startups