Job Responsibilities

• Data Management & Analysis
• Reporting & Visualization
• Strategic Communication & Leadership

Other Requirements

• Analyse data in line with business performance and deliver insights that support strategic initiatives.
• Interpret data trends and patterns to support business forecasting, pricing, customer behaviour analysis, and operational efficiency.
• Develop SQL queries, data pipelines, and ETL processes to extract, clean, and manipulate data from various sources, ensuring data integrity and usability.
• Responsible for analysing raw data in a timely manner and disseminating accurate daily, fortnightly, and monthly sales reports (sales out, stock value, and stock movements) using appropriate tools.
• Ensure consistency, accuracy, and overall integrity of business metrics across all reporting and analysis.
• Design and develop dashboards, reports, and visualizations using tools like Power BI, Tableau, or Looker to present complex data in an understandable and engaging format.
• Develop and maintain business intelligence documentation, training materials, best practices, and an overall data toolkit to ensure data accessibility and understanding across the organization.
• Present findings and recommendations to senior leadership in a clear, concise, and actionable format, translating complex data into clear business insights.
• Mentor junior analysts and contribute to analytics process improvement and standardization initiatives, fostering a culture of continuous learning and data excellence.
• Collaborate with cross-functional teams to understand business requirements, identify data needs, and ensure analytical solutions align with organizational goals.
• Identify opportunities for process improvement and efficiency gains based on data analysis, proposing and implementing data-driven solutions.
• Stay updated with industry best practices in data analytics, business intelligence, and relevant domain-specific trends to ensure the adoption of cutting-edge techniques and tools.
• Bachelor’s degree in Finance, Economics, Statistics, Data Science, or related field.
• Minimum 5 years of experience in business data analytics or business intelligence role or financial modeling—preferably in Agri-finance or FMCG sectors.
• Adept at transforming large datasets into actionable insights, developing financial and commercial analysis reports, and designing interactive KPI dashboards.
• Proficient in SQL, Power BI, Python, and Tableau, with a strong background in business case formulation, forecasting, and regulatory reporting.