THE ROLE PURPOSE (LINK TO OVERALL BUSINESS OBJECTIVES, EG. ARRP)

 A Product Performance Analyst plays a key role in aligning product outcomes with business goals by using data to drive smarter decisions. They help boost revenue by analyzing product uptake and customer behavior, reduce costs by identifying inefficiencies, and enhance customer experience through journey insights. Their work informs strategic decisions, supports regulatory compliance, and ensures that banking products digitally or physically are optimized for performance, growth, and customer satisfaction.

THE KEY RESPONSIBILITIES (DUTIES)


Data Analysis: Collecting and analyzing data on various business processes, financial performance, market trends, and operational efficiency.
Reporting: Creating reports and dashboards that summarize findings and present them to stakeholders, helping them make informed decisions.
Performance Metrics: Developing and monitoring key performance indicators (KPIs) to assess the efficiency and effectiveness of different business areas.
Strategic Recommendations: Providing actionable insights and strategic recommendations based on data analysis to improve overall business performance.
Collaboration: Working with different departments, such as finance, marketing, and operations, to understand their performance challenges and support them in achieving their goals.
Forecasting: Using historical data and market trends to make forecasts about future business performance and help inform strategic planning.
Continuous Improvement: Identifying areas for process improvement based on data insights and recommending methods to enhance productivity and profitability.
To succeed in this role, strong analytical skills, proficiency in data analysis tools (like Excel, SQL, or BI software), and the ability to communicate insights effectively are essential.


CORE  ACCOUNTABILITIES AND DELIVERABLES 


Financial: Provide monthly product performance reports with insights to guide Business decisions
People: Manage a team of ELPs on data Analytics and review reports from them. Work closely with BI team to ensure product dashboards are precise and provide insightful metrics on performance.
Processes: Adhere to Product House Process and procedures mitigating any risks laid down.
Systems: Ensure platforms and systems used for data analytics are readily available and UpToDate
Customers/Clients: Work closely with internal clients who are users of reporting dashboards- train and continuously


KEY DECISIONS MADE BY THE POSITION -HOLDER (NOT RECOMMENDATIONS) AND HOW OFTEN


The above position plays a crucial role in evaluating, measuring, and improving financial performance and operational efficiency in the business.


COMPLEXITY EXPECTED IN THE ROLE (EG.  MULTIPLE COUNTRIES, CROSS-FUNCTIONAL RESPONSIBILITIES, DELIVERING THROUGH OTHER THIRD PARTIES/PARTNERSHIPS, ETC..) 


The above role is at Group Level- supporting all licenses and Subsidiaries in providing product and channel performance reports.


 Qualifications

 KEY TECHNICAL AND LEADERSHIP COMPETENCIES REQUIRED FOR SUCCESS IN THE ROLE

Technical Competencies


Data Analysis – Strong in Excel, SQL, Python/R; statistical knowledge.
Data Visualization – Proficient with tools like Tableau or Power BI.
Product Analytics Tools – Experience with Google Analytics.
KPI Tracking – Defining and measuring product success metrics.
Experimentation – A/B testing, experimentation design, result interpretation.
 Leadership & Soft Skills
Business Acumen – Linking product performance to business outcomes.
Team player and Team management
Communication – Translating data into insights for stakeholders.
Stakeholder Management – Collaborating across product managers and business teams.
Critical Thinking – Solving problems and identifying key insights.
Influence & Adaptability – Leading with data and adjusting in fast-paced environments.


EXPERIENCE REQUIREMENTS  


Number of years: 10 years and above
Markets: Francophone markets a plus
Functional areas: Data Science, Business Intelligence, Data Analysis
Other: Report writing/ Presentation skills


ACADEMIC QUALIFICATIONS AND CERTIFICATIONS 


First Degree in Data Science/ Data Analytics
Masters Degree in Business Administration an added advantage
Artificial Intelligence/ Predictive Analytics Diploma