Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Business Intelligence Analyst - PowerBI & SAP

Dublin
1 month ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Analyst

Business Intelligence Analyst / Power BI Report Writer

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Location: North Dublin - 4 days onsite
Salary: €70,000 – €80,000 + benefits
Industry: Manufacturing

We’re partnering with a well-established international business to find an experienced Business Intelligence Analyst to join their growing Dublin team. 

This is an excellent opportunity for someone with 5–8 years’ experience in business intelligence, data analysis, and reporting who wants to make a real impact across Finance, Supply Chain, CRM, and Sales teams.

Responsibilities: 

Act as a key point of contact for BI tools including SAP BusinessObjects, SAP BW, and S/4HANA, coordinating with external vendors to ensure performance and continuity.

Support the maintenance of the BI architecture to ensure it scales with the business.

Collaborate with project teams to deliver digital and data-driven transformation initiatives.

Manage and support upgrades to BI software, maintaining alignment with change control procedures.

Use SAP Analysis for Office (AFO) and Power BI to build and maintain reports and dashboards that drive business decisions.

Work closely with internal stakeholders to translate reporting requirements into clear, impactful data visuals.

Coach internal users on self-serve analytics and respond to ad hoc analysis requests.

Ensure high levels of data accuracy, consistency, and quality across reports and datasets.

Skills & Experience needed:

Technical Skills:

Strong experience with Power BI (report building, data models, DAX).

Hands-on experience with SAP Analysis for Office and BW/4HANA (report design, data extraction, data modelling).

Proficiency in SQL, and ideally some exposure to Python or ETL tools.

Familiarity with enterprise data environments; exposure to Microsoft Fabric is a plus.

Business & Analytical Competencies:

5–8 years of experience in BI, reporting, or analytics.

Detail-focused with solid data validation and problem-solving skills.

Comfortable working across departments and explaining technical insights to non-technical users.

Curious, proactive, and collaborative mindset

From here on out an exciting opportunity awaits with a company on a massive digital transformation journey. Lots of interesting project work ahead in an enjoyable company culture.

DON'T DELAY APPLY TODAY

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.