Business Analyst Downstream

Job Description

• Work with Downstream business and operational stakeholders to understand business needs, performance issues, and improvement opportunities across GTM, Sales, Marketing, Logistics, Distribution, O2C, Demand & Supply, CRM, CLM, and related commercial domains.
• Support translation of business needs into analytical questions, KPIs, requirements, decision needs, and measurable outcomes.
• Support larger analytics initiatives led by more senior Business Analyst and independently lead smaller, clearly scoped projects from requirement gathering through UAT, implementation, and monitoring.
• Work closely with Data Scientists, Data Engineers, and BI Developers to ensure business requirements and commercial/operational context are clearly understood and delivered correctly.
• Review business performance and analytical outputs, identify key insights, and support the development of recommendations and improvement actions.
• Facilitate stakeholder discussions, collect feedback, support business validation and UAT, and help align users and technical teams during implementation.
• Track agreed KPIs, adoption, actions and measurable business outcomes for smaller initiatives independently led; support impact measurement on larger initiatives.

Qualifications

• Bachelor's degree in Business Administration, Management, Finance/Economics, Business Analytics, Industrial Engineering, Data & Analytics, Information Systems, or other relevant quantitative/business disciplines.
• Minimum Experience: 1 year
• Preferred experience in FMCG, Sales/GTM, Marketing, Logistics/Distribution, Supply Chain, Commercial Analytics, Business Analytics, Management Consulting, or Technology/Data-driven companies.

Requirements:

• Demonstrate the ability to understand and structure a business problem, validate business context and data meaning, and define the decision to be supported before translating the need into analytics or dashboard requirements.
• Business & analytical thinking: business-process understanding, structured problem-solving, root-cause thinking, trade-offs, KPI and decision logic.
• Data & analytics literacy: data analysis concepts, data quality, KPI logic, BI and advanced-analytics outputs; working knowledge of Excel and BI tools; SQL familiarity is an advantage.
• Stakeholder & communication: facilitation, constructive challenge, clear business communication, and ability to simplify complex findings.
• Execution & adoption: disciplined follow-through, UAT, action tracking, implementation, adoption, and continuous improvement.
• Domain understanding: ability to learn and operate effectively across GTM, FMCG & Commercial domains.