We are urgently looking for a Data and AI Solutions Specialist to design, build and enable effective data, analytics and AI solutions by deeply understanding clients data environment, translating business needs into well-structured, AI-ready data sources and designs, and delivering practical, user‑centric solutions that drive insight, decision‑making and business value.

Key Performance Areas (KPAs)

1. Data Analysis & Architecture Design

* Analyse and understand existing databases, data warehouses and data flows, including tables, relationships, measures and dependencies.

* Advise on best‑practice data modelling and architecture when introducing new metrics, measures or data elements.

* Take accountability for understanding where data changes are required and defining what “good” looks like from a data design and architecture perspective.

* Work closely with data engineers, BI developers and solution architects to design scalable, robust and well‑documented data solutions.

* Identify data quality, structure and lineage risks and proactively recommend and support improvements.

2. AI Strategy, Enablement & Platform Design

* Contribute to and help shape the team’s AI strategy, with a strong focus on practical enablement and business value.

* Design how data should be structured, governed and exposed to support AI use cases and API‑based access.

* Support AI platforms and services (e.g. large language model environments such as Amazon Bedrock or similar) through appropriate data preparation and solution design.

* Work with technical teams to ensure secure, reliable and governed data access for AI‑enabled solutions.

* Identify, assess and prioritise AI use cases based on business value, feasibility and data readiness.

3. Front‑End Enablement: Dashboards, AI Agents & Analytics

* Translate business problems and data opportunities into practical, usable analytics and AI solutions for internal clients.

* Design and build dashboards, reports and analytical views that support decision‑making and business processes.

* Design, configure and build AI agents / copilots for internal users, leveraging available AI platforms and data services.

* Enable and support self‑service analytics capabilities, including reusable datasets, measures and analytical components.

* Understand the current analytics and reporting environment and actively improve front‑end designs, workflows and user interaction models.

* Work closely with business users to iterate, refine and improve solutions based on feedback and adoption.

4. Solution Design & Delivery

* Perform end‑to‑end analysis of data, analytics and AI environments to identify gaps, risks and improvement opportunities.

* Design and build end‑to‑end solutions spanning data structures, analytics layers and AI‑enabled front ends.

* Contribute hands‑on to solution delivery, including analytics logic, data preparation and AI solution configuration where required.

* Collaborate across business, data engineering, BI, AI and architecture teams to deliver integrated solutions.

* Produce clear documentation, solution designs and implementation artefacts to support sustainability and reuse.

Experience

Minimum

* Experience in a data‑ or analytics‑focused role (e.g. technical business analyst, BI developer, data analyst, data engineer or AI specialist).

* Proven experience working with relational databases and data models.

* Experience translating business requirements into data, analytics or AI‑enabled solutions.

* Hands‑on experience building dashboards, reports or analytics solutions.

Ideal

* Experience in a financial services or banking environment.

* Exposure to cloud‑based data platforms, preferably AWS or Azure.

* Experience working with APIs and data integration patterns.

* Practical experience building or configuring AI‑driven tools, such as internal copilots or agents.

* Experience collaborating with data engineers, BI developers and solution architects.

Qualifications

Minimum

* Relevant tertiary qualification in Information Systems, Computer Science, Engineering, Data, Analytics or a related field.

Ideal

* Postgraduate qualification or specialised certification in data, analytics or AI‑related disciplines.

Knowledge

* Strong understanding of data modelling, relational databases and analytical data structures (e.g. dimensional models).

* High‑level understanding of data, analytics and AI architectures.

* Knowledge of BI and visualisation tools (e.g. Power BI, Qlikview or similar).

* Practical understanding of AI and LLM concepts, including data preparation and prompt‑based solution patterns.

Skills

* Strong SQL and data analysis capability.

* Ability to read and interpret data models, data dictionaries and ETL/ELT logic.

* Technical business analysis and requirements elicitation.

* Hands‑on BI development skills, including analytics logic, measures and visual design.

* Ability to build and iterate AI‑enabled solutions, not only define requirements.

* End‑to‑end solution design across data, AI and front‑end analytics.

* Ability to explain complex technical concepts in clear, business‑friendly language.

* Strong stakeholder engagement and facilitation skills.

* Problem‑solving, critical thinking and analytical reasoning.

Competencies / Behaviours

* Curious and proactive in identifying data and AI improvement opportunities.

* Comfortable working in ambiguous environments and shaping new AI‑enabled ways of working.

* Collaborative, with the ability to bridge business, data and technology domains.

* Strong ownership, accountability and attention to quality.

* Delivers well‑structured, well‑documented and sustainable solutions.

Take, note this role is designated for Employment Equity candidates as per the client’s EE plan.

This is a six-month contract opportunity with our client with the option of converting to a permanent employee.