Senior Data Analyst

Introduction

We are seeking an experienced Senior Data Analyst to join a strategic ERP transformation programme within the financial services environment.

The successful candidate will be responsible for supporting the end-to-end data analysis lifecycle, with a strong focus on data discovery, profiling, quality, information management and business process analysis . The role will contribute to business process re-engineering and the implementation of a modern financial planning and reporting solution.

The ideal candidate will have extensive experience in Business Analysis and Information Management , strong analytical and facilitation skills, and the ability to translate complex business and data requirements into practical, well-documented solutions.

This is an 18-month contract opportunity for a highly experienced professional who can operate effectively in a complex, enterprise environment and work collaboratively with business, technology and data stakeholders.

Duties & Responsibilities

• Conduct data discovery activities to identify and document relevant data assets within defined business processes and data domains.

• Analyse data assets in the context of business value drivers, business processes and data products.

• Conduct data profiling to assess:

• Data sensitivity

• Data quality

• Data context and usage

• Data ownership and handling requirements

• Relevant legislative and regulatory considerations

• Establish relationships and dependencies between data elements and assess their impact on business processes and outcomes.

• Conduct detailed data analysis to identify and classify different categories of data and information.

• Apply data valuation techniques to determine the business importance, value and potential reusability of data.

• Develop and implement standards, guidelines, processes and procedures for data analysis and information management.

• Analyse data flows between source and destination systems, including data at rest.

• Provide input into data handling requirements, including legislative prescripts, sensitivity classifications, access controls and authorisation rules.

• Identify data quality issues and contribute to the development of appropriate remediation approaches.

• Generate regular reports, dashboards and status updates relating to data analysis and management activities.

• Translate business needs into clear and actionable data and business requirements.

• Analyse and document business processes and identify opportunities for improvement.

• Develop and maintain business analysis documentation and artefacts.

• Develop business cases and contribute to solution recommendations.

• Develop Business Analysis Work Plans.

• Prepare Business Requirements Specification documents.

• Prepare Functional Requirements Specification documents.

• Develop and maintain Information Matrices.

• Develop and document User Stories.

• Prepare Change Request documentation where applicable.

• Participate in Quality Assurance activities.

• Participate in User Acceptance Testing (UAT).

• Develop business analysis measures and feedback reports.

• Review and provide input into training documentation.

• Facilitate workshops with business and technical stakeholders.

• Collaborate with project managers, business analysts, data specialists, technology teams and business stakeholders.

• Provide regular progress updates and communicate risks, issues and dependencies.

• Support knowledge transfer by maintaining accurate and accessible documentation.

• Contribute to the successful transition and handover of data analysis deliverables and knowledge to internal teams.

• Work effectively within an Agile delivery environment.

Desired Experience & Qualification

Essential Qualifications

• Bachelor's degree or equivalent qualification in one of the following or a related field:

• BCom Informatics

• BSc Information Systems

• BSc Informatics

• BTech or equivalent

• Minimum 8 years' experience in Business Analysis .

• Minimum 5 years' experience in Information Management .

• Advanced knowledge and practical experience in Information Management Business Analysis .

• Solid experience working within an Agile methodology .

• Strong understanding of Information Lifecycle Management (ILM) .

• Experience with data discovery and data profiling .

• Experience with Data Quality tools .

• Strong understanding of business processes and the ability to analyse and document process requirements.

Advantageous

• Data Management certification, such as DAMA CDMP or equivalent.

• Experience within the financial services, banking or other highly regulated environments .

• Experience working on ERP transformation or implementation programmes .

• Exposure to Enterprise Performance Management (EPM), financial planning or financial reporting solutions.

• Experience with data governance, data classification, data sensitivity and regulatory data requirements.

Key Competencies

• Strong analytical and critical-thinking skills.

• Excellent business process analysis capabilities.

• Strong written and verbal communication skills.

• Excellent workshop facilitation skills.

• Strong stakeholder engagement and interpersonal skills.

• Quality-oriented approach with strong attention to detail.

• Strong negotiation and influencing skills.

• Ability to build and maintain effective stakeholder relationships.

• Ability to work independently and as part of a multidisciplinary team.

• Strong problem-solving and decision-making abilities.

• Motivated self-starter with an enterprising approach.

• Ability to manage multiple priorities within a complex programme environment.

• Strong documentation and report-writing skills.

• Proficiency in Microsoft Office, including Word, Excel and PowerPoint .

• Ability to build trust and maintain positive stakeholder relationships.

Key Deliverables

The successful candidate will be expected to contribute to or produce:

• Business Cases

• Business Analysis Work Plan

• Business Requirements Specification

• Functional Requirements Specification

• Information Matrix

• User Stories

• Change Request Documentation, where applicable

• Quality Assurance inputs

• User Acceptance Testing inputs

• Business Analysis Measures and Feedback Reports

• Data discovery and profiling outputs

• Data quality analysis and reporting

• Data analysis and management reports

• Training and knowledge-transfer documentation

• Supporting project and stakeholder communication materials