ASL International Recruitment Limited 22-24 Seale Street, St Helier, Jersey, JE2 3QG (Registered Office) + 44 (0) 1534 500000 Registered Company GST No 0101275 Registered Jersey No. 95590

IT Business Analyst (AI Programme) Key Responsibilities

Analysis, Adoption, Change & Enablement

• Conduct analysis to assess feasibility, impact and risks of AI and technology opportunities

• Facilitate use-case discovery workshops and map processes to AI and technology scenarios (e.g., drafting, summarisation, search, data extraction, analysis)

• Drive AI and technology adoption across Legal, OGL, and Business Services by understanding role-specific workflows and identifying AI and technology-enablement opportunities

• Provide hands-on support for pilots and early-life adoption, transitioning to sustainable, self-serve use

• Build trusted relationships with the business to foster understanding and adoption

• Support structured change activities

• Participate in user groups such as the Legal AI Working Group to share progress, capture feedback, and act as a conduit to service lines

• Participate in ongoing technology reviews to capture outcomes and lessons learned

• Design reusable AI prompts, patterns and templates and curate scenario playbooks for fee earners and business teams

• Proactively identify opportunities to retire/retrain/update AI prompts, workflows and guidance

• Define and track technology adoption, usage and value metrics (e.g. active users, depth of use, time saved, quality indicators)

• Maintain dashboards and reporting on technology adoption, value, and risk posture

• Produce concise documentation: user guides, FAQs, playbooks, quick-start assets, and short enablement videos where needed

Technical

• Provide specialist support for enterprise technology and AI platforms including Microsoft 365 Copilot, approved legal-AI tools, and internal AI applications

• Analyse user scenarios and optimise prompts/workflows; create guidance that reflects Ogier’s preferred ways of working

• Collaborate with other technology teams on secure configurations, access, and responsible use guardrails; escalate issues appropriately

ASL International Recruitment Limited 22-24 Seale Street, St Helier, Jersey, JE2 3QG (Registered Office) + 44 (0) 1534 500000 Registered Company GST No 0101275 Registered Jersey No. 95590

• Ensure initiatives follow defined governance, testing and review processes

• Support risk assessments and log mitigations

Skills, Knowledge and Expertise

Experience

• Proven experience in business analysis / product adoption / digital workplace or AI- enabled change in a professional services and/or legal environment

• Hands-on delivery of AI or automation initiatives from discovery through rollout, with measurable value outcomes

• Demonstrable contributions to governance, risk, and quality processes (e.g. testing, validation, approvals, audit)

• Evidential enthusiasm for continuous learning and proactively embracing new technologies, including AI, to enhance personal and team effectiveness

• Change management exposure

Skills

• Strong business analysis toolkit: requirements elicitation, process mapping, user stories, acceptance criteria

• Excellent communication skills—able to translate technical concepts into clear business language and practical guidance

• Competence with prompt design and evaluation for business scenarios

• Structured problem-solving, stakeholder management, and facilitation skills

• Data-literate: comfortable with metrics, dashboards, and value tracking

• Basic data fundamentals (e.g., data quality, security, lifecycle) and understanding of AI risks (bias, hallucinations, provenance)

Qualifications (Desirable, not mandatory)

• Microsoft certifications (e.g., MS-900, SC-900, PL-900) or AI-900 (Azure AI Fundamentals)

• Business analysis or project credentials (e.g., BCS BA, PMI-PBA, PRINCE2 Foundation, Agile)

Closing Date:

JOB DESCRIPTION Job Title: Data Analytics - Engineer

Division: ICT Hours: 37 Grade: Engineer Type of Contract: Permanent Reports to: Head of Data & Analytics Housing Qualifications: 5 years residency

Job Purpose

The Data Analytics Engineer is responsible for designing, building, and maintaining reliable, scalable data pipelines and analytics solutions that enable Jersey Post to make data-driven decisions and automate business processes. The role bridges operational systems, cloud data platforms, and analytics tools—ensuring high- quality, timely, and well-modelled data is available for reporting, analytics, and advanced use cases such as predictive modelling and optimisation. Operating with a high degree of autonomy, the Data Analytics Engineer contributes directly to improving customer experience, operational efficiency, and strategic insight across the organisation, while continuously improving the reliability and maturity of the data platform.

Main Responsibilities

Impact & Delivery

• Understands core business processes (e.g. parcel lifecycle, routing, sorting, delivery, customer interactions) and translates them into clear, well-structured data models.

• Designs datasets that accurately represent business events, measures, and dimensions — enabling consistent and trusted reporting.

• Gather and document data and reporting requirements from stakeholders.

• Develop, maintain, and support ETL processes and data integration workflows.

• Independently deliver data engineering and analytics work with minimal supervision.

• Take ownership of specific data pipelines, datasets, or reporting domains, ensuring reliability, performance, and ongoing support.

• Contribute to business-critical initiatives across customer experience, operations, forecasting, and sustainability.

• Identify opportunities to improve data availability, quality, or automation, and proactively propose solutions.

• Ensure delivered solutions align with business outcomes, not just technical requirements.

Technical Responsibilities

• Design, build, and support robust data pipelines across on-premises and Azure platforms.

• Develop and optimise SQL-based transformations and data models for analytics and reporting use cases.

• Build and maintain Databricks or Microsoft Fabric notebooks using SQL and Python for data processing and enrichment.

• Implement ingestion pipelines using SSIS, Azure Data Factory, APIs, and event-based patterns where appropriate.

• Develop and maintain Power BI datasets and reports, applying strong data modelling and DAX practices.

• Develop and maintain SSRS reports and understand using the most appropriate tool for the job

• Troubleshoot and optimise existing pipelines, jobs, and reports to improve performance, reliability, and cost efficiency.

• Apply data quality, validation, and observability practices to ensure trust in analytics outputs.

• Contribute to CI/CD pipelines and follow source control and release management best practices using Git and Azure DevOps.

• Support interoperability between legacy on-prem systems and modern cloud-based solutions.

Operational & Team Responsibilities

• Participate in shared operational responsibilities, including monitoring, incident response, and service desk support for data platforms and analytics products.

• Collaborate closely with wider team members, and business stakeholders.

• Contribute to documentation, knowledge sharing, and continuous improvement of team practices.

• Support associate engineers through peer reviews, guidance, and informal mentoring.

Competencies/Personal Requirements/Experience

Impact (What Good Looks like)

• Delivers high-quality data pipelines and analytics solutions with minimal supervision.

• Owns specific data pipelines, datasets, or reporting domains end-to-end.

• Improves data reliability, performance, and automation across the platform.

• Enables insight and decision-making across customer, operational, and sustainability initiatives.

• Recognised as a dependable contributor who “gets things done”.

• Demonstrates a ‘curious’ mindset

Technical Traits Essential Experience & Skills

• Strong SQL skills (SQL Server and/or Azure SQL), including query optimisation and data modelling.

• Strong dimensional and analytical data modelling skills • Experience with Modern Data Platforms using the Microsoft stack. • Experience building and supporting data pipelines using:

o SSIS and/or Azure Data Factory o Databricks or Microsoft Fabric

• Working knowledge of Python and PySpark for data transformation and automation • Experience integrating data from APIs, including authentication, pagination, and

incremental loading. • Strong understanding of Power BI datasets, semantic models, and report performance. • Familiarity with Azure Data Lake / Fabric storage concepts and structures. • Experience using Git and CI/CD pipelines (e.g. Azure DevOps).

• Awareness of non-functional requirements such as scalability, observability, security, and cost control.

• Experience supporting production systems in a data or analytics environment.

Desirable • Experience with near-real-time or event-driven data ingestion. • Exposure to forecasting, optimisation, or analytical modelling use cases. • Foundational understanding of statistics (e.g. distributions, correlations, regression). • Exposure to machine learning concepts and workflows (training, validation, feature

engineering). • Experience using Python libraries such as pandas, numpy, scikit-learn, or similar. • Familiarity with predictive or optimisation use cases (e.g. forecasting, routing, demand

prediction). • Awareness of AI techniques such as NLP or anomaly detection and where they add business

value. • Certifications in Fabric or Databricks

Behaviours & Ways of Working

• Takes ownership and accountability for outcomes.

• Communicates clearly, early, and proactively.

• Collaborates effectively across teams and disciplines.

• Is proactive in learning and receptive to feedback.

• Contributes to shared responsibilities such as monitoring and service desk support.

• Acts professionally and positively within the team and wider organisation.

What Success Looks Like in the First 6–12 Months

• Owns and reliably supports one or more key data pipelines or analytics products. • Is trusted to deliver changes end-to-end with minimal oversight. • Has improved at least one area of data quality, performance, or automation. • Is seen as a dependable and collaborative member of the Data & Analytics team. • Shows a thirst to understand the business and its processes, not just the technology • Demonstrates readiness to take on more complex or cross-cutting initiatives.

Equality & Diversity Statement

Every Employee has a personal responsibility for acting in accordance with the equality and diversity policy of Jersey Post Group, respecting the rights of all colleagues and customers.

Health & Safety

All employees are required to undertake their duties in a safe manner having regard for the health and safety of themselves and others.

Jersey Post Behaviours

All employees should behave in accordance with Jersey Post’s competency frameworks, the behavioural charter set by the DRAW (Dignity, Respect, AT Work) committee and any professional bodies that you are a member.

ASL International Recruitment Limited 22-24 Seale Street, St Helier, Jersey, JE2 3QG (Registered Office) + 44 (0) 1534 500000 Registered Company GST No 0101275 Registered Jersey No. 95590

Service Delivery Analyst / Expert

Role Summary

This is a team based role in our Guernsey office relating to the provision of various IT related support services to existing Clarity Clients. You will report to the Head of Department and have a primary responsibility for supporting our clients both remotely from our guernsey Office and onsite at their offices if required.

There may be a requirement for you to attend client sites for onsite visits, some of these could be regular visits. If this is the case this will be reviewed with your line manager and an appropriate rota will be mutually agreed.

You will be a member of our Service Delivery Team focused on providing an excellent service to all of our clients. It’s expected that you build and maintain strong working relationships with key business users, colleagues and providers to Clarity.

Key Activities & Responsibilities

Tasks will include;

• Assisting end users with the diagnosis and resolution of desktop, network and server issues. Communicate and manage client expectations – especially around system downtime.

• Confidently respond to incoming support enquiries, log and deal with appropriately, investigate and escalate in accordance with internal support procedures.

• Provide regular feedback and communicate with our clients regarding outstanding support tickets on a regular basis to ensure that they are fully aware of progress.

• Work with the customers to ensure that the product configurations meet their business needs/requirements, adding value to their operation.

• Gain knowledge and understanding of the environments used by our clients.

• Carefully track and document all issues and resolutions in detail and input time correctly and accurately into the Clarity ticketing system.

• Take an active role in the engineering tasks and spend a significant proportion of your time supporting our clients.

• If required, carry out daily health checks and preventative maintenance checks and logging service tickets where required in order that these can be remediated.

• Supporting and providing assistance to the other team members and an escalation of tickets as required with a pragmatic, common sense approach to troubleshooting.

• Provide a good standard of oral and written communication when engaging with clients.

ASL International Recruitment Limited 22-24 Seale Street, St Helier, Jersey, JE2 3QG (Registered Office) + 44 (0) 1534 500000 Registered Company GST No 0101275 Registered Jersey No. 95590

• Ability to create detailed documentation, when required.

• Build and maintain sufficient knowledge of products, services and company philosophy as the role demands.

• Develop and work to best practices for configuration and deployment of new and existing software and hardware.

Additional Responsibilities

• Achieve and maintain relevant qualifications applicable to your role, with a particular focus on relevant Document Management and Microsoft 365 / Azure Certifications. We will expect you to take responsibility for determining your training plan in conjunction with your Head of Department and our Training Manager.

• Excellent time management and organisational skills, and ability to handle multiple concurrent tasks with minimal supervision

• Assisting Clarity staff in completing their duties including support calls, project work, office moves, and general office work as required.

• Work positively and communicate professionally across teams in order to make an effective contribution to team tasks and team spirit.

• Willingness to provide support to fellow team members

• Adhere to support procedures and processes

• Provide professional, competent and excellent customer service at all times.

• Be reliable, presentable and polite as they act as the company’s representative both over the phone and at customer sites

• Combine being a team player with being able to work independently

• To maintain excellent relationships with colleagues and customers

• Communicate professionally with colleagues and customers via various channels (email, chat, telephone)

• To adhere to helpdesk procedures and processes, the Company Handbook and Security Management Policies (ISMS)