Specialist, Insight and Analytics

Stanbic IBTC Bank is a leading African banking group focused on emerging markets globally. It has been a mainstay of South Africa’s financial system for 150 years, and now spans 16 countries across the African continent.

Standard Bank is a firm believer in technical innovation, to help us guarantee exceptional client service and leading edge financial solutions. Our growing global success reflects our commitment to the latest solutions, the best people, and a uniquely flexible and vibrant working culture. To help us drive our success into the future, we are looking for resourceful individuals to join our dedicated team at our offices.

Stanbic IBTC Bank is recruiting to fill the position below:

Job Title: Specialist, Insight and Analytics
Job ID: 30757
Location: Lagos Island, Lagos
Job Details

• Operations: a range of essential and complex services to ensure processes across the bank work as effectively and efficiently as possible

Job Purpose

• To select, interrogate, interpret and present appropriate customer data in order to tactically find ways to inform and influence business decisions based on vital statistical evidence.
• To develop and present standard and bespoke analytics reports based on business requirements.

Key Responsibilities
Business MI needs analysis:

• Engages with the business to obtain a comprehensive understanding of business goals, challenges and processes and their impact on the data life cycle.
• Identifies opportunities through which insights and analytics/MI can assist in addressing business challenges, and present these to relevant stakeholders and implement.
• Identifies business opportunities in support of the business initiatives through analysis of the business management information that may reside inside or outside the business.

Measures:

• Approved and signed off BRDs for all new report developments
• Stakeholder feedback
• Number of reworks of developed reports

Perform data analysis:

• Determines data needed to be collected and the appropriate data sources for reports requested by business stakeholders.
• Works with relevant stakeholders in Enterprise Data Office and IT to identify appropriate data sources and the possible integration of multiple data sources thereof to support defined business specifications.
• Formulates techniques for quality data analysis to ensure adequacy, accuracy and legitimacy of data.
• Troubleshoots data error issues and drive remediation with data quality management team.
• Reviews identified data for inconsistencies or anomalies that could skew analytical results.

Measures:

• Level of accuracy of reporting outputs as determined by stakeholder feedback
• Successful remediation of data issues identified during data analysis
• Reconciliation to trusted sources of data
• Sign off on data testing as required
• Implementation of business models and analytics

Produce management information using available tools

• Performs aggregation of data to identify patterns in the data which translate into key findings.
• Uses data visualization tools to generate graphical representations that answer business questions and influence decision making.
• Ensures credibility of available data received to support agreed upon business measures or KPIs.
• Develops code and reporting processes that are robust, but versatile and easy to change in support of evolving business requirements.

Measures:

• Stakeholder feedback
• Level of contribution in engagements with stakeholders
• Adherence to SLA’s with stakeholders

Relationships
Data Enablement:

• Nature of relationship: Receive a service from them
• Description or examples: Provides the team with data required in order to fulfil the requirements of stakeholders. Responsible for ensuring that the data enablement team sources all data requirements at the appropriate level of detail as determined by the BRD.

CIB, PBB and Wealth:

• Nature of relationship: Provide a service to them
• Description or examples: Provides reports and dashboards to the different business areas as required. Responsible for collaborating with business representatives to gather requirements and translate these into business solutions through generation of dashboards and reports.

Country MI teams:

• Nature of relationship: Influence their service delivery
• Description or examples: Collaborates with country teams to validate data and roll out consolidated MI. Responsible for assisting country teams with the MI solution and influencing the teams to adopt a single source of data.

Preferred Qualification and Experience
Qualification:

• B Degree in Commerce, Information Systems, Business Administration, or other related field
• Data Management qualifications would be an advantage

Experience:

• Data Management – Management
  • 5-7 Years experience in customer data and information life-cycle, including product, sales, customer segmentation, channel,   performance measurement, and scorecards.
• Experience in managing stakeholders and providing a high level of customer service.
• Understanding of data and BI technologies and practices is required.
• Experience in the management of asset products and the management of the risks thereof is ideal.
• Basic understanding of the banking industry, balance sheet and income statement components and their relationship to business performance

Knowledge/Technical Skills/Expertise
Data Analysis:

• Competency Description: Ability to analyse statistics and other data, interpret and evaluate results, and create reports and presentations for use by others.

=

Effective Business Communication:

• Competency Description: The ability to communicate information and ideas in a clear and concise manner appropriate for the audience in order to explain, persuade, convince and influence others to achieve the desired outcomes.

Data Integrity:

• Competency Description: The ability to ensure the accuracy and consistency of data for the duration that the data is stored as well as preventing unintended alterations or loss of data.

Knowledge Management Systems:

• Competency Description: The knowledge and understanding of the IT systems and processes that are available to be used for the sharing, storing and retrieval of information in the organisation.

Financial Analysis:

• Competency Description: An in depth, experiential understanding of more advanced analyses and the way in which financial ratios, trends, and business and value drivers interact.
• Statistical and Mathematical Analysis
• Competency Description: The ability to build, analyse and interpret numerical and non-numerical data to determine potential risk exposure and statistical inferences to inform business decisions

Interested and qualified candidates should apply below