E

Head of Business Intelligence & Analytics at Equity Bank Kenya

Equity Bank Kenya
Full-time
On-site

This role sits in the IT department under the Data Strategy and Analytics function. The Head of Business Intelligence & Analytics is responsible for driving the Groups data-driven decision-making agenda by leading the design, development, and delivery of enterprise-wide BI solutions, management of the data warehouse & data lakehouse, analytics capabilities, and actionable insights. The role oversees BI Developers, Data Analysts, and Data Analytics Engineers at different seniority levels, ensuring high-quality data products that support business growth, operational efficiency, timely delivery of reports, customer experience, and regulatory reporting.


Role Responsibility

Strategic Leadership


Define and execute the Bank's Business Intelligence & Analytics strategy in alignment with the Group Data Strategy and overall business priorities.
Champion a data-driven culture across all subsidiaries, enabling leadership and business units to make informed decisions.


Team & Capability Management


Lead and mentor a multi-disciplinary team of BI Developers, Data Analysts, and Data Analytics Engineers.
Establish best-practice standards for data modelling, dashboarding, data quality, analytics methodologies, and data storytelling.
Drive skills development, innovation, and cross-functional collaboration within the analytics communit


BI & Analytics Delivery​​​​​​​


Oversee the design, development, and maintenance of reports, dashboards, and self-service analytics tools across the Group.
Ensure timely delivery of insights to support strategic initiatives such as branch performance, pricing, digital channels, risk monitoring, customer behavioral analytics and so on.
Lead the consolidation of Group-wide reporting across subsidiaries (Kenya, Rwanda, Uganda, Tanzania, South Sudan, DRC).


Technology & Architecture


Own the BI tools roadmap (e.g., Power BI, Tableau, Qlik, OBIEE, etc.).
Partner with IT Infrastructure, Cloud, and Data Engineering teams to ensure scalable, secure, high-performance data platforms.
Manage the delivery of data marts, data warehouse and data lakehouse solutions.


Business Insights


Periodically generate business insights for the business teams with the goal of creating measurable value.
Partner with business stakeholders to provide data answers to problems presented.


Qualifications

Role Qualifications.


Bachelor's degree in Computer Science, Information Systems, Statistics, Engineering, or related field; Master's preferred.
10+ years of experience in Business Intelligence, Data Analytics, or Data Warehousing, with 5+ years in leadership roles.
Proven experience leading multi-disciplinary data teams in a financial institution or large enterprise.
Strong knowledge of SQL, python programming skill, data modelling, ETL/ELT, BI tools, analytics platforms, and cloud data architectures.
Understanding of banking processes, regulatory reporting, and financial KPIs is highly desirable.
Strategic and Analytical thinking.
Strong leadership and people development.
Apply now
Share this job