Senior Business Analyst - Agricultural Service

We are seeking to hire an experienced and strategic Senior Business Data Analyst to lead data-driven initiatives that shape decision-making across our organization. This pivotal role will involve analyzing complex datasets, developing actionable insights, and working cross-functionally to enhance business performance, drive growth, and support strategic planning efforts.

Key Responsibilities

Data Management & Analysis

• Analyze business performance data and deliver insights to support strategic initiatives.
  
• Interpret data trends to inform forecasting, pricing, customer behavior analysis, and operational efficiency.
  
• Develop and manage SQL queries, data pipelines, and ETL processes to extract and clean data from multiple sources.
  
• Generate accurate and timely sales reports (daily, fortnightly, and monthly) including sales out, stock values, and stock movements.
  Ensure accuracy and consistency of business metrics across all reports and analyses.

Reporting & Visualization

• Create and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Looker.
  
• Develop and maintain business intelligence documentation, training materials, and best practice guidelines to support organizational data literacy.
  

Strategic Communication & Leadership

• Present findings and recommendations to senior leadership in a clear, actionable manner.
  
• Mentor junior analysts and support process improvements and standardization of analytics across teams.
  
• Collaborate with cross-functional teams to understand business needs and ensure analytical solutions meet strategic goals.
  
• Identify and implement opportunities for process improvements based on data insights.
  
• Stay abreast of the latest trends and best practices in data analytics and business intelligence.
  

Requirements

• Bachelor’s degree in Finance, Economics, Statistics, Data Science, or a related field.
  
• At least 5 years of experience in business data analytics, business intelligence, or financial modeling—preferably within the Agri-finance or FMCG sectors.
  
• Proficient in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau).
  
• Strong analytical and problem-solving skills.
  
• Excellent communication skills, with the ability to present complex data to non-technical stakeholders.