Background information about the job or company (e.g., role context, company overview)

Equity Bank Limited (The "Bank”) is incorporated, registered under the Kenyan Companies Act Cap 486 and domiciled in Kenya. The address of the Bank’s registered office is 9th Floor, Equity Centre, P.O. Box 75104 - 00200 Nairobi. The Bank is licensed under the Kenya Banking Act (Chapter 488), and continues to offer retail banking, microfinance and relat...

Responsibilities or duties

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

Qualifications or requirements (e.g., education, skills)

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 needed

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

Any other provided details (e.g., benefits, work environment, team info, or additional notes)

ACADEMIC QUALIFICATIONS AND CERTIFICATIONS

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

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

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

• Provide monthly product performance reports with insights to guide Business decisions
• 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.
• Adhere to Product House Process and procedures mitigating any risks laid down.
• Ensure platforms and systems used for data analytics are readily available and UpToDate
• Work closely with internal clients who are users of reporting dashboards- train and continuously

• 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.
• 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.
• Report writing/ Presentation skills

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