Senior Business Data Analyst - Agribusiness at Bridge Talent Management

Job Summary 

• We are seeking 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.
• If you are a data-driven professional with a passion for transforming numbers into meaningful business strategies, this role offers the opportunity to make a real impact.

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 Actuarial Science, Mathematics, Statistics, Data Science, or a related field.
• 5+ years of experience in data analysis, business intelligence, and performance reporting.
• Proven ability to transform large datasets into actionable insights, develop commercial analysis reports, and design KPI dashboards.
• Proficient in SQL, Power BI, Python, Tableau (R is an added advantage).
• Strong background in business case formulation, forecasting, and regulatory reporting.
• Experience with database management (Microsoft SQL Server, MySQL) and ERP systems (Microsoft Dynamics ERP, SAP).
• Skilled in statistical modelling (regression analysis, hypothesis testing) and KPI tracking.
• Strong communication skills with the ability to translate technical data into clear business insights.