Job Description

Partner with Downstream business and operational stakeholders to understand objectives, pain points, performance gaps, and improvement opportunities across GTM, Sales, Marketing, Logistics, Distribution, O2C, Demand & Supply, CRM, CLM, and related commercial domains.
Structure business problems into clear analytical objectives, decision questions, KPIs, hypotheses, analytical requirements, and measurable success criteria.
Lead medium-to-large or complex analytics initiatives end-to-end from requirement gathering and analytical scoping through development coordination, UAT, implementation, adoption, and post-implementation monitoring.
Translate business needs into clear requirements and coordinate the appropriate technical delivery with Data Scientists, Data Engineers, BI Developers, IT, and Digital Innovation, while ensuring outputs remain aligned with the business objective.
Interpret analytical findings in business context and convert them into actionable recommendations, trade-offs, decision options, and actions; facilitate stakeholder alignment toward implementation.
Lead performance monitoring and exception follow-up, including root-cause analysis, action ownership, escalation, result verification and closure; define expected business impact, track realized benefits and recommend corrective actions.
Provide guidance and support to more junior Business Analysts 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: 4 years
Preferred experience in FMCG, Sales/GTM, Marketing, Logistics/Distribution, Supply Chain, Commercial Analytics, Business Analytics, Management Consulting, or Technology/Data-driven companies.

Requirement

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.

Senior Business Analyst Downstream