Job Title: Business Analysis & Insight Manager
Reports to: Group Head, Remittance & Fintech
Location: Kenya
Direct Reports: Data Analyst
Job Purpose
The Business Analysis & Insight Manager provides data-driven insights and analysis to support strategic decision-making in Ecobank’s remittance and fintech operations. The role involves generating comprehensive reports, analyzing trends, forecasting performance, and optimizing business strategies based on data insights.
JOB CONTEXT
The Business Analysis & Insight Manager operates within a fast-paced, data-driven environment where real-time insights are essential for business growth and market responsiveness. With fintech and remittance being highly competitive sectors, data analytics play a critical role in uncovering hidden trends, optimizing operations, and driving customer-centric innovations. This role requires agility in handling large datasets, translating complex data into strategic recommendations, and fostering collaboration between cross-functional teams.
Key Responsibilities
- Business and Financial Performance
- Data Analysis: Analyze business performance data to identify key trends, risks, and opportunities for optimization in Ecobank’s remittance and fintech services.
- Financial Forecasting: Leverage data insights to forecast financial performance, helping shape growth strategies and operational efficiencies.
- Pricing & Product Analysis: Conduct pricing analysis, product performance reviews, and monitor customer accounts to provide actionable recommendations for revenue growth.
- Competitive Analysis: Collect and analyze competitive intelligence to strengthen Ecobank’s market position and drive business growth.
- Customer Excellence
- Stakeholder Reporting: Prepare regular reports and interactive dashboards for senior management, highlighting key performance metrics and providing actionable insights.
- Customer Insights: Work closely with sales managers to provide data-backed insights that support customer retention, acquisition, and overall business growth.
- Customer Monitoring: Conduct regular account analysis to identify patterns and propose corrective actions, ensuring that customer needs are met efficiently.
- Leadership and People Management
- Cross-functional Collaboration: Build strong relationships with various teams, including sales, marketing, and product development, to drive cohesive decision-making processes based on data.
- Knowledge Sharing: Provide mentorship and guidance to teams on how to interpret data insights and make data-driven decisions for business improvement.
- Process, Control, and Operational Performance
- Operational Efficiency: Develop and refine internal processes for data collection, analysis, and reporting to improve efficiency and data accuracy.
- Data Integrity: Ensure the integrity and confidentiality of data used for analysis, adhering to strict data governance and ethical standards.
- Automation & Tools: Drive the use of business intelligence tools and automation to streamline data reporting and decision-making processes.
- Strategic Initiatives
- Strategic Recommendations: Provide data-driven recommendations that support Ecobank’s strategic initiatives, including product development, market expansion, and partnership growth.
- Innovative Insights: Lead initiatives for deeper data mining and exploration of new trends and opportunities to inform business strategies.
- Risk Identification: Analyze risks based on data patterns and trends to propose proactive solutions for business continuity and sustainability.
KEY SUCCESS FACTORS
- Data Accuracy: Ensuring high levels of accuracy in data reporting and analysis, enabling informed and confident decision-making.
- Actionable Insights: Providing timely and relevant insights that directly contribute to revenue growth and operational efficiencies.
- Operational Efficiency: Streamlining data management processes and improving reporting speed to provide real-time insights to decision-makers.
- Business Growth: Enabling measurable business growth through data-driven strategies, performance optimization, and market expansion initiatives.
- Compliance & Data Governance: Ensuring adherence to data governance standards, ethical data handling, and maintaining confidentiality of sensitive information.
JOB PROFILE
Education
- Bachelor’s degree in Data Science, Business Analytics, Economics, Statistics, or a related field.
- Certifications in Data Analytics, Business Intelligence tools, or Data Science are desirable.
- Advanced degree or MBA with a focus on data analytics or business intelligence is an advantage.
Experience
- More than 5 years of experience in data analysis and data mining with mastery-level proficiency in Microsoft Excel.
- Data-driven with strong analytical ability and hands-on approach.
- Highly organized, able to prioritize tasks, and work under pressure in a rapidly evolving environment.
- Adept at developing and executing actions synthesized from analysis of issues.
- Detail-oriented with a belief in the value of process.
- Flexible, self-motivated, team-oriented, and open to change.
- Excellent communication skills and ability to interact with people globally in a multicultural environment.
- Experience in a similar industry (technology/telecommunication) is advantageous.
- Mature, proactive attitude, time-sensitive with a sense of urgency, and teachable.
Skills And Personal Attributes
- Advanced skills in analyzing large datasets, statistical analysis, and delivering actionable insights.
- Strong understanding of financial metrics, KPIs, and how business insights can drive revenue and operational improvements.
- Proficiency in business intelligence tools, data visualization software, and statistical programming languages.
- Ability to translate complex data into clear, concise reports and presentations for non-technical stakeholders.
- High level of accuracy and attention to detail in data analysis and reporting.
- Ability to manage multiple projects simultaneously and meet tight deadlines.
- Fluency in English is essential; fluency in French is an asset.
- Commitment to maintaining data confidentiality and integrity, adhering to ethical standards in data handling.
- Excellent problem-solving and critical-thinking skills.
