Job Description: Data & Analytics Specialist
Location: North Leinster / Fingal Region (Commutable from Louth, Meath, Monaghan & North Dublin)
Reporting To: Audit & Advisory Director
Working Pattern: 4-Day Office Week (Mon-Thurs: 8.5 hrs) + Friday Half-Day WFH
This is a 4 day onsite Permanent Role in Dundalk/Balbriggan
Candidates must be in Ireland with full working rights with Stamp 4 or Eu Citizen only
Remuneration: Competitive Salary + Performance Incentives + Onsite Parking
About the Practice
Founded over 35 years ago, we are a leading, independent accounting, tax, and business advisory firm with over 100 professionals across our regional offices. As an active member of a top-tier international global accounting network spanning over 90 countries, we combine deep regional expertise with extensive international reach.
We remain 100% independent and director-led, fostering a young, energetic team culture where technology, work-life balance, and long-term career progression are genuinely supported.
Role Summary
We are seeking an ambitious Data & Analytics Specialist to join our growing team. Reporting directly to an Audit & Advisory Director, you will play a central role in modernizing how our firm captures, analyzes, and leverages operational and client data.
In this role, you will own the extraction and reporting of core practice KPIs out of our core practice management software, bring Power BI analytics capabilities fully in-house to drive reporting consistency, and help pioneer the implementation of next-generation audit automation and AI data-snapping tools.
Key Responsibilities
1. Internal Practice Intelligence & KPI Reporting
- Practice Data Extraction & Interrogation: Extract, transform, and analyze operational data from core practice management platforms to track fee-earner utilization, work-in-progress (WIP), realization rates, and client engagement metrics.
- In-House Power BI Dashboards: Transition Power BI reporting from external vendors back in-house; build, maintain, and enhance interactive dashboards for senior executive leadership.
- Reporting Infrastructure: Clean, structure, and automate recurring internal reporting processes to streamline decision-making across all practice divisions.
2. Audit Automation & Emerging Technology
- Audit Automation & AI Tools: Support the deployment of automated data extraction and audit testing tools ("Data Snapper" / robotics platforms) to streamline audit workflows.
- Knowledge Sharing: Collaborate with analytics and technology leads across member firms in international partner offices (US & UK) to share best practices and evaluate AI-driven accounting tech.
- Client Data Extraction (ETL): Assist audit and tax teams in extracting, cleaning, and transforming client financial data across various ERP and accounting packages (e.g., Xero, Sage, QuickBooks) into standardized analytical models.
Candidate Profile & Qualifications
- Experience: 2 to 5 years of commercial experience in data analytics, business intelligence, or financial reporting.
- Core Technical Skillset:
- Power BI: Strong proficiency in building custom data models, DAX measures, and interactive reporting dashboards.
- SQL & Data Manipulation: Solid background querying relational databases and manipulating unstructured datasets.
- Excel: Advanced capability (Power Query, complex functions, automated data cleaning).
- System Experience: Prior experience extracting or analyzing data from professional services practice management systems or ERPs is a distinct advantage.
- Business Acumen: Ability to translate complex operational numbers into clear, actionable business insights for non-technical leadership.
- Culture Fit: Collaborative team player, proactive mindset, excellent communication skills, and high personal integrity.
What We Offer
- Work-Life Balance: Finish early every Friday with a half-day remote work structure (Mon-Thurs: 8.5 hours in-office; Friday afternoon off).
- Workplace Perks: Modern, firm-owned office facilities featuring free onsite parking.
- Leave Allowance: Generous annual leave package (24 days starting, rising to 25 days at 5 years, and 26 days at 10 years).
- Career Growth: Direct line to firm leadership, autonomy over the analytics tech stack, and exposure to global network projects across international jurisdictions.
