Senior Business Analyst - Agricultural Service at Bridge Talent Management

Job Summary 

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.