Business Intelligence Specialist

RECRUITERS; Dublin; Hybrid; EUR 93,000 - 113,000; Part time

Job summary

RECRUITERS in Ireland seeks a Business Intelligence & Data Analytics Specialist for a 9-month hybrid contract in Dublin 18. The role drives data-informed decision making across a multi-country environment.

You will design executive dashboards in Power BI, develop data models and monthly leadership packs, and translate complex data into actionable insights for senior stakeholders. Strong SQL and KQL are essential, with experience in cloud analytics tools recommended.

Qualifications

• 5+ years' experience in BI, analytics or MIS roles.
• Advanced Power BI: data modelling, DAX, dashboard dev.
• Strong SQL skills with multi-source data integration.
• Strong KQL knowledge for telemetry and log data.
• Experience presenting insights to senior leaders.

Responsibilities

• Design, build and maintain executive-scorecards and dashboards in Power BI.
• Develop data models, DAX measures and reporting solutions from multiple systems.
• Create monthly executive reports and leadership summaries on key trends and drivers.
• Translate complex data into actionable insights for senior stakeholders.
• Build and optimize data pipelines using cloud analytics platforms.
• Define KPI governance and data quality standards across countries.
• Improve reporting efficiency and reduce duplication.
• Collaborate with regional leadership to support strategic decisions.

Skills

Power BI

SQL

KQL

Stakeholder communication

Global operations

Tools

Microsoft Fabric

Azure Data Factory

Power Platform

Python

Job description

Business Intelligence & Data Analytics Specialist | 9 month contract | Hybrid in Dublin 18 | up to €103,000 per annum pro rata

Our client is a leading multinational technology organisation operating a large-scale portfolio of business-critical infrastructure across EMEA and globally. They are seeking a Business Intelligence & Data Analytics Consultant to join their Operations Excellence team and help drive data-informed decision making across a complex, multi-country environment.

This is a highly visible role that combines advanced analytics, executive reporting, business intelligence development and stakeholder engagement. Working closely with senior operational leaders, you will help create a single source of truth for operational performance, transforming fragmented reporting into clear, actionable insights.

What you'll be doing

• Design, build and maintain executive-level scorecards and dashboards using Power BI.
• Develop robust data models, DAX measures and reporting solutions that consolidate information from multiple operational systems.
• Create monthly executive reporting packs and leadership summaries focused on key operational trends, risks and performance drivers.
• Translate complex operational data into meaningful insights, recommendations and actions for senior stakeholders.
• Build and optimise data pipelines using modern cloud analytics platforms and automation tools.
• Define KPI governance, data quality standards and metric definitions across multiple countries and business functions.
• Improve and streamline reporting processes, eliminating duplication and increasing reporting efficiency.
• Partner with regional leadership and cross-functional teams to support strategic and operational decision-making.

What we're looking for

• 5+ years' experience in Business Intelligence, Data Analytics, Reporting or Management Information roles.
• Advanced Power BI expertise, including data modelling, DAX, Power Query and dashboard development.
• Strong SQL skills with experience integrating data from multiple enterprise systems.
• Strong KQL knowledge and experience querying, analysing and reporting on telemetry, operational and log data.
• Proven ability to present insights and recommendations to senior stakeholders and business leaders.
• Experience operating within complex, multi-site or multi-country environments.
• Experience with Microsoft Fabric, Azure Data Factory, Power Platform or Python would be highly desirable.
• Previous experience supporting operations, engineering, manufacturing, utilities, datacentres or other large-scale operational environments would be advantageous.