Unit Head, Retail Analytics at Access Bank Plc

Access Bank Plc is a financial institution with presence in 9 countries in Africa and the United Kingdom and in all major cities in Nigeria. Also referred to as the Africa's Bank of Best Practice, Access Bank operates on a platform of strong ethics, governance and professionalism.

We are recruiting to fill the position below:

Job Title: Unit Head, Retail Analytics

Location: Lagos
Job type: Full time
Job Grade: AM - MGR

Job Overview

• This role leads the retail data and analytics agenda, partnering with executives to align business and analytics strategies.
• It oversees data governance, policies, standards and data quality, ensuring resolution of data issues.
• Delivers insights, performance monitoring, predictive models and machine learning solutions customer experience.

Key Responsibilities

• Unlock business values using internal and external data for the overall achievement of short term, medium- and long-term goals.
• Enable and support “revenue growth” strategies, “cost reduction” strategies, “process improvement strategies”, and “risk reduction” strategies.
• Lead data and analytics agenda and serve as a trusted partner to key business decisions.
• Foster innovation leveraging, emerging Big Data and analytics technology.
• Strengthening competitive advantage through access to better information and insights
• Partners with business to align business and data analytics strategies to maximize the value of data and analytics investments
• Drive the Retail Bank’s data policies, standards, organization and provides a central authority for resolution on data management issues.
• Work with executives, data owners, and data stewards to achieve data accuracy and process requirement goals for all internal and external customers and create data management strategies,
• Drive Overall improvement in average revenue per customer, cost optimization and customer experience.
• Monitor Retail performance and proactively provide guidance on issues and challenges that could alter achievement of set goals and priorities
• Guide in development of data models according to the bank standards, build predictive models and machine learning algorithms
• Lead and mentor a team of data scientists, analysts and engineers
• Develop and implement the data strategy and roadmap for the organization
• Oversee data analytics projects from inception to completion
• Drive innovation by exploring new data sources and techniques

Requirements
Qualifications & Experience:

• Bachelor’s Degree in STEM, Economics, or related discipline.
• Master’s degree in Data Science, Business Analytics, Statistics, Artificial Intelligence, MBA or related field will be an added advantage.
• Relevant professional and data analytics certifications will be an added advantage.
• Must have 8–12 years’ relevant experience in data analytics, business intelligence, strategy, retail banking analytics or related roles, with at least 4–5 years in a leadership or managerial capacity.

Skills/Competence Requirements:

• Strong knowledge of retail banking operations, products, customer behavior and performance drivers.
• Strong understanding of data analytics, business intelligence, predictive modelling and machine learning concepts.
• Knowledge of data governance, data quality management and enterprise data management practices.
• Proficiency in analytics and visualization tools such as SQL, Python/R, Power BI, Tableau or related platforms.
• Strong strategic thinking and problem-solving capability with ability to translate data into business insights.
• Sound understanding of revenue optimization, cost management, customer analytics and risk management principles.
• Ability to interpret market trends, customer trends and industry developments to support business decisions.
• Strong project management and stakeholder management capabilities.
• Excellent presentation, reporting and communication skills.
• Strong innovation mindset with ability to leverage emerging analytics technologies and data-driven solutions.
• Build strong relationships with business stakeholders and communicate insights effectively.

Supervisory & Leadership Skills:

• Strong leadership and influencing skills.
• Team development, coaching and mentoring capability.
• Strong organizational, coordination and people management skills.
• Ability to manage cross-functional teams and multiple analytics initiatives simultaneously.
• Strong decision-making and performance management capability.
• Conflict resolution and relationship management skills.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online