Business Insights Analyst

About

The Business Insights Analyst plays a central role in delivering high-quality analytics, data science solutions, and actionable insights that enable informed decision-making across An Post.

The role supports both self-service and centrally delivered analytics, contributing to the organisation's Data & Analytics strategy, the Hub & Spoke Operating Model, and the continued development of enterprise analytics capability.

The analyst partners with stakeholders across business units, the D&A Solutions Team, and cross-functional teams to design, build, operationalise, and promote governed analytics solutions. Working through the full CRISP-DM lifecycle and aligned Agile/Kanban ways of working, the role focuses on insight delivery, analytics enablement, data consistency, and best-practice analytics processes.

Responsibilities

The main responsibilities associated with the role include, but are not limited to the following:

Insight Delivery, Data Science & Analytics

• Deliver business insights, analytics, and data science solutions spanning descriptive, diagnostic, predictive, and prescriptive analysis.
• Translate stakeholder needs into clearly defined analytics requirements, KPIs/SLAs, decision cadence, and measurable success criteria.
• Become highly involved with data mining, statistical analysis, modelling, and evidence-based insight generation.
• Build maintainable Python/SQL pipelines, transformations, and analytical datasets, ensuring version control, reproducibility, and governance.
• Produce governed dashboards and reports following An Post's Visualisation Framework and best practices.

Data Governance, Quality & Compliance

• Ensure data consistency, alignment, and standardisation across business areas.
• Identify data sources, data owners/stewards, and maintain traceable audit trails.
• Complete Ethical/GDPR pre-analysis checks, document risks/bias, and ensure lawful access.
• Balance agility with governance, enabling rapid insights without creating data silos.

Hub & Spoke Operating Model & Capability Enablement

• Promote and embed the Hub & Spoke Operating Model across the enterprise.
• Act as an enabler for analytics capability-empowering spokes and business teams rather than executing tasks end-to-end.
• Contribute to analyst forums and communities of practice to elevate analytics maturity.
• Promote standardisation of tools, frameworks, and best practices, including evaluation of new analytics technologies. MS Fabric will be in strong focus in the immediate and long-term.

Collaboration & Solution Operationalisation

• Collaborate closely with stakeholders to automate, productionise, and operationalise analytics solutions.
• Define refresh schedules, monitoring plans, automated checks/alerts, and handover documentation for long-term sustainability.
• Support User Acceptance Testing (UAT) for new analytics tools, models, or deliverables.

Work Management & Delivery

• Work in Agile/Kanban across CRISP-DM phases, with evidence-based updates, stand-ups, reviews, and retrospectives.
• Track and manage analytics requests using ServiceNow, MS Tasks, JIRA, or equivalent tools.
• Maintain decision logs and clear documentation of assumptions, methodologies, and results.
• Provide clear communication of insights, limitations, and recommendations to technical and non-technical audiences.
• Demonstrate An Post Values and behaviours in your day-to-day work and address behaviour that supports/conflicts with them.

Qualifications

You will hold a Third Level degree in Analytics, Data Science, Computer Science, or related discipline with minimum 2+ years in data analytics, data science, BI, or similar roles.

Proven experience delivering analytics projects through a proven lifecycle with robust documentation.

Experience building semantic models, dashboards and governed BI solutions (Power BI, MS Fabric, or equivalent).

Experience working in Agile/Kanban teams with visible progress tracking (boards, ceremonies etc.).

Knowledge of MS Fabric or Azure toolkit is desirable.

Technical Skills

• Strong proficiency in Python and SQL for analysis, modelling, pipeline development, and automation.
• Experience with enterprise analytics tools such as MS Fabric, Power BI, Oracle Analytics, Geo-Spatial tools, or similar.
• Familiarity with data governance, GDPR, ethical AI, and maintaining audit-ready documentation.
• Ability to document and communicate complex insights clearly, tailoring messages to varied audiences.

Critical Competencies

• Problem Solving & Analysis
• Attention to Detail
• Technical & Professional Expertise
• Teamwork
• Communications

Candidature

Applications are encouraged from serving employees, who have successfully completed the Company's probationary/trial period and who feel they have the necessary skills and experience for this position and who are currently performing roles up to and including but not exceeding IT3 roles and pay range.

Applicants must align with the standard Company rules and regulations regarding conduct, performance and attendance.

Selection

Intending applicants should note that reviewing/shortlisting of applicants will be in accordance with the recruitment and selection criteria stated above. Satisfactory evidence of being able to fulfil the requirements of the job and meet the personal profile criteria set out in this notice is essential and must be clearly demonstrated in the application.

The selection process may entail appropriate testing to assist in evaluating the suitability of candidates for the job and a competitive interview. Applications will be reviewed in the first instance by a Selection Board to decide on the candidates to be invited to the next stage of the selection process. Taking into account the CV and other supporting material together with the results of the tests and interview, an interview board report will be compiled and recommendations made on each applicant. Our Learning and Development Team run CV writing workshops and interviewee skills courses from time to time. Forms for all courses are available via the Learning & Development section on the An Post Intranet .

Appointment

There will be a six-month probationary period and process in place for those appointed to the above position. Should a successful applicant fail to achieve the standards expected at any stage during the probationary period, there will be early, effective intervention designed to enable them to reach and maintain acceptable standards of performance. However, should they fail to reach and maintain these standards following this intervention; they will revert to their previous grading/position and to the salary point they would have reached if they had continued in that grade provided the record of service during your period in the position now advertised was satisfactory from the point of view of conduct.

At An Post we appreciate the value that diversity brings and believe our workforce should be reflective of the customers and communities we serve. That is why we actively welcome applications from people from all backgrounds, and do not discriminate based on gender, age, race, religion, marital status, sexual orientation, disability, membership of the Travelling community, or family status. We are committed to having an inclusive workplace where every employee feels they belong. If you require accommodations to be made during the recruitment process, or have questions relating to accessibility, please email

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