Technical Business Data Analyst

Sabenza IT & Recruitment; Johannesburg; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading technology recruitment firm is seeking a Technical Business Data Analyst to join their Fraud and Financial Crime Technology Platform team. The role involves analyzing public-facing APIs, defining data requirements for automation, and collaborating with engineers and stakeholders in a regulated environment. Strong SQL skills and experience with testing APIs are essential, along with excellent communication skills. This position is integral to enhancing data quality and workflow efficiency in the fight against financial crime.

Qualifications

• Business Analyst or Data Analyst experience on data-centric platforms.
• Strong SQL skills and experience querying relational databases.
• Solid understanding of data models, REST APIs, JSON, and data integration concepts.

Responsibilities

• Analyse and document public-facing APIs, including endpoints and payloads.
• Define requirements to migrate from manual CSV to automated data products.
• Work closely with engineers, product owners, compliance teams, and vendors.

Skills

SQL skills

Communication and stakeholder engagement

Experience testing APIs

Data integration concepts

Tools

Postman

Bruno

Job description

Technical Business Data Analyst

Fraud & Financial Crime Technology Platform (FFCP)

Are you passionate about data, APIs, and fighting financial crime? Do you enjoy sitting at the intersection of business, technology, and compliance, translating complex data flows into meaningful outcomes?

We’re looking for a Technical Business Data Analyst to join our Fraud and Financial Crime Technology Platform (FFCP) team, where data is at the heart of protecting the bank and its clients.

About the Team

The FFCP team enables the bank’s Fraud and Financial Crime detection and investigation capabilities, covering:

• Client & Entity Screening against global watchlists
• Transaction Monitoring for suspicious activity
• Fraud detection and investigation workflows

We are currently on an exciting modernisation journey, replacing legacy platforms with a blend of in-house solutions and leading vendor technologies. Central to this transformation is high-quality, well-governed data — and that’s where you come in.

What You’ll Be Doing

This is a hands‑on, delivery‑focused role spanning analysis, data modelling, documentation, and collaboration across the Entity Screening domain.

Data, APIs & Integration

• Analyse and document public‑facing APIs, including endpoints, payloads, and data models
• Map API payloads to internal client and entity data models
• Identify data gaps, transformation rules, and dependencies, producing clear requirements for engineering teams

Modern Data Enablement

• Define requirements to migrate from manual CSV‑based inputs to automated data products
• Document ownership, data lineage, refresh cycles, and quality controls
• Support engineers with requirement clarification throughout delivery

Controls, Quality & Non‑Functional Requirements

• Define expectations around data timeliness, availability, performance, reconciliation, and error handling
• Document exception handling and data‑quality operational processes

Business Process & Configuration Analysis

• Analyse and document Fraud and Financial Crime operational workflows
• Capture system configuration requirements such as alert rules, thresholds, workflows, and permissions
• Contribute to improved user experience and operational efficiency

Delivery & Collaboration

• Work closely with engineers, product owners, compliance teams, and vendors
• Support testing, validation, and acceptance, including test case definition and data validation

What We’re Looking For

You’re a technically strong analyst who’s comfortable working with data, APIs, and stakeholders in a regulated environment.

Essential experience:

• Business Analyst or Data Analyst experience on data‑centric platforms, ideally within Financial Crime, AML, KYC, Transaction Monitoring, or Client Screening
• Strong SQL skills and experience querying relational databases
• Hands‑on experience testing APIs using tools like Postman or Bruno
• Solid understanding of data models, REST APIs, JSON, and data integration concepts
• Experience translating complex technical flows into clear, actionable business requirements
• Exposure to non‑functional and control requirements (timeliness, reconciliation, lineage, auditability)
• Excellent communication and stakeholder engagement skills

Nice to have:

• Experience with screening platforms such as Dow Jones Risk & Compliance, Actimize, or similar
• Knowledge of banking client/entity data models
• Familiarity with Azure data concepts, including data products, pipelines, storage, API management, and DevOps practices