Senior Business Intelligence Analyst - Ecobank

Job Purpose

The Senior Business Analyst, also referred to as Senior Business Intelligence Analyst will be part of a high-calibre data team supporting senior management through financial & strategic planning and metrics monitoring as well as internal and external benchmarking.

The position will be responsible for partnering with various businesses and functional units to collect analyze and transform data into meaningful and effective presentations for senior management as well as group executives.

JOB CONTEXT

This position requires excellent interpersonal skills with the ability to build and maintain key relationships and capable of working with team members, clients, and senior executives - effectively communicating with them at their level of analytical/technical understanding.

Design, plan and oversee self-audits of processes and systems, interpret results, and recommend improvements.

Key Responsibilities

Strategically

• Working with business unit leaders to identify areas of opportunity within the business to leverage analytics.
• Building advanced analytical capabilities to improve business decisions and actions within Group Technology
• Harvest data to create information that enables differentiation of service and products.
• Provide proactive, real-time analytics to anticipate and enhance the customer’s experience and decision-making capabilities.
• Oversee and assist with the coordination of the team’s workload management portal with the objective of maintaining constant transparency in the delivery status of our tasks.

Tactically and Operationally

• Leveraging SQL, data mining, data manipulation and statistical analysis (Python/R) to solve business problems, create opportunities, and identify potential analytic strategies.
• Translating high-level operational businesses needs appropriate intermediate or complex analysis to be actionable.
• Implementing analytical initiatives that deliver tangible process, product, people and/or technology improvements.
• Building and optimizing Power BI dashboards and self-service reports and applying advanced analytics and statistical techniques to optimize business results and client satisfaction.
• Presenting recommendations to management and business partners (including business implications) and determining how to best summarize and visualize the results.
• Prepare monthly reviews in partnership with the organization’s Lead Finance Officers teams through insightful analysis of business performance
• Develop ad-hoc analytics on themes that arise at senior management’s request and/or through proactive research of potential issues
• Coordinate and partner with business team to construct the monthly reports and annual plan in alignment with the strategy of the business; ensure data integrity and process flows are fully adhered to
• Partner with other analysts to design sound data models and star schemas, uphold data quality and testing standards, and drive efficiencies that enhance analytical prowess
• Provide relevant test scenarios for the testing team. Work with test team to develop system integration test scripts and ensure the testing results correspond to the business expectations

JOB PROFILE

Experience & Qualifications

Technical competencies below indicate the minimum required proficiency level for this role (Novice / Beginner / Proficient / Expert), per the Data & Analytics Competency Framework.

• Minimum 7 years demonstrated experience leveraging analytics and data analysis to deliver tangible business improvements with at least 5 years in financial services
• SQL & Database Management (Proficient) – able to independently design, query and manage relational databases (SQL Server, Oracle, MySQL) for accurate storage, retrieval and reporting
• Bachelor’s degree in economics, Finance, Accounting or related discipline
• Data Warehousing & ETL/ELT (Beginner) – working knowledge of building data-integration pipelines to consolidate and transform diverse data sources
• Big Data & Cloud Platforms – Azure, Spark (Beginner) – foundational understanding of cloud and large-scale data platforms, including data-governance and security controls
• Data Modelling & Star Schema Design (Proficient) – able to structure data using dimensional/star-schema design for effective reporting and query performance
• Data Visualization – Power BI, Tableau (Proficient) – able to build meaningful dashboards and reports that communicate insight and drive decisions with Databricks / Power BI / Tableau exposure a plus
• Programming & Scripting – Python/R (Beginner) – basic ability to write and optimize scripts for data processing and automation; Databricks/Tableau exposure a plus
• Data Quality, Profiling & Testing (Proficient) – able to assess, validate and ensure dataset accuracy, provide test scenarios and support reliable reporting
• Statistical Modelling & Analysis (Proficient) – able to apply statistical methods to interpret data and support evidence-based decision-making
• Innovation & Solution Design (Proficient) – able to design creative, forward-looking data solutions that address business challenges and improve processes
• Machine Learning & AI (Beginner) – foundational awareness of predictive modelling and AI concepts to support advanced, data-driven analytics

Skills, Capabilities & Direct Attributes

Behavioral and leadership competencies are required at Proficient level for this role, per the Data & Analytics Competency Framework.

• Communication & Data Storytelling (Proficient) – superb presentation skills, able to translate complex financial schedules into meaningful, audience-appropriate narratives and synthesize quantitative and qualitative data to draw conclusions and drive decisions
• Decision Making & Accountability (Proficient) – strong decision-making capability, able to identify problems, propose solutions, own outcomes and influence change
• Stakeholder Management & Influence (Proficient) – able to engage and positively influence colleagues, other departments and senior management to align analytics priorities with business needs
• Analytical Thinking & Problem Solving (Proficient) – detail-oriented, able to break down complex problems systematically, with strong issue-resolution, time-management and organizational skills
• Project Delivery & Execution (Proficient) – able to plan, manage and deliver multiple projects on time and within scope, with accountability across teams
• Business & Financial Acumen (Proficient) – sound understanding of business processes, KPIs and financial principles to keep analytics relevant, actionable and value-driven
• Adaptability & Continuous Learning (Proficient) – embraces change and proactively acquires new skills in evolving data technologies and business needs
• Must have ability to handle confidential data
• Customer Service Orientation (Proficient) – understands and prioritizes stakeholder needs to deliver timely, accurate and relevant data solutions
• Collaboration & Teamwork (Proficient) – self-motivated team player, able to work effectively across cross-functional teams, sharing knowledge to support shared goals
• Mentorship & Knowledge Sharing (Proficient) – able to guide, coach and transfer knowledge to colleagues, supporting capability-building and stronger team development

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