To design build and enable effective data analytics and AI solutions by deeply understanding the 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.
Requirements
Key Performance Areas (KPAs)
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.
AI Strategy Enablement & Platform Design
- Contribute to and help shape the teams 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.
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.
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.
Required Skills:
Key Performance Areas (KPAs) 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. AI Strategy Enablement & Platform Design Contribute to and help shape the teams 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. 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. 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.
To design build and enable effective data analytics and AI solutions by deeply understanding the 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 ...
To design build and enable effective data analytics and AI solutions by deeply understanding the 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.
Requirements
Key Performance Areas (KPAs)
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.
AI Strategy Enablement & Platform Design
- Contribute to and help shape the teams 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.
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.
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.
Required Skills:
Key Performance Areas (KPAs) 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. AI Strategy Enablement & Platform Design Contribute to and help shape the teams 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. 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. 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.
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