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.

Analytics & Visibility

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.

Process Optimization & Strategy

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.

Cross-Functional Collaboration & Root Cause Analysis

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.

Educational Background & Experiences:

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

Knowledge and Skills:

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.

Preferred but not required:

Analytics and Automations Engineer - Supply & Demand, Scommerce