Senior Business Data Analyst at Rose Avenue Group

A leading multinational Agribusiness company in Kenya is looking for an experienced and strategic Senior Business Data Analyst to lead data- driven initiatives that shape decision making across the organization. In this role, you will analyze complex datasets, develop actionable business insights, and work across- functionalities to improve business performance, drive growth and support in strategic planning. This role will guide key stakeholders in establishing and implementing best business practices in data analytics and reporting.

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.