Business Intelligence Analyst
The Business Intelligence Analyst at Axiom's Belfast office builds and maintains dashboards and reports, supports ETL jobs and data pipelines, and performs data QA to surface operational insights for teams across the business. Core stack: SQL with relational databases (PostgreSQL, SQL Server), BI tools like Tableau or Power BI, and cloud data platforms like Databricks.
- Compensation
- Not disclosed
- Location
- Belfast, Northern Ireland, United Kingdom
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Bachelor's Degree in Data Science, Analytics, Computer Science, Business, or a related field (or equivalent practical experience)
- 1-3 years of experience in data analytics or business intelligence (relevant internships or academic capstone projects apply)
- Hands-on experience with at least one major BI tool such as Tableau, Power BI, Sisense, or Qlik
- Solid foundational knowledge of SQL and relational databases (PostgreSQL, SQL Server) for querying and data extraction
- Familiarity with data cleaning, basic ETL concepts, and tools like Databricks or similar cloud data platforms
- Detail-oriented problem solver who takes ownership of tasks and is eager to learn
Nice to have
- Exposure to enterprise platforms like Salesforce, Workday, or Greenhouse
Full description
Business Intelligence Analyst Location: Belfast (On site working) * Closing Date 9th October 2026" About Axiom:
As the leading alternative legal services provider globally, Axiom gives in-house legal teams on-demand access to top legal talent and lawyers — deployed when, where, and how clients need it, for up to 50% less than national law firms. Axiom's network of 14,000+ legal professionals includes 4,000+ lawyers with Fortune 500 experience, delivering AI-enabled legal services across more than 12 practice areas. Trusted by 75% of the Fortune 100 and thousands of mid-market leaders, Axiom ranks #1 among Alternative Legal Service Providers in 8 of 9 performance categories — including talent quality, breadth, productivity, and client experience — according to a top 5 global consulting firm. Across more than 3,000 engagements annually in 6 regions and 4 continents, 93% of clients rate Axiom lawyers as good as or better than top law firm attorneys, with 96% client satisfaction and measurable cost savings that reduce outside counsel spend without sacrificing quality. Stop overpaying for law firm work. Start with Axiom.About the role:
The Business Intelligence Analyst plays a supportive role in transforming Axiom into a data-driven company. You will help surface critical operational insights to stakeholders, ensure our data assets are well-maintained, and bring transparency to our daily operations. You will pull up your sleeves to query, clean, and publish data, building the reports and dashboards our teams use to make informed decisions. Reporting directly to the Manager, Business Intelligence and Analytics, this role is an excellent opportunity to grow your technical skills while contributing to a growing data culture.
Core Responsibilities:
- Collaborate with cross-functional teams (Product, Technology, Finance, Sales, Marketing, Operations) to gather requirements, understand business questions, and build relevant reporting solutions.
- Design, build, and maintain interactive dashboards and reports using BI tools to address daily operational and analytics requests.
- Support the maintenance and monitoring of existing ETL jobs and data pipelines to ensure reliable data delivery.
- Perform routine data QA audits, troubleshoot reporting issues, and maintain data integrity across trusted sources.
- Assist in documenting data definitions, lineage, and access policies to ensure clear organizational knowledge.
- Work alongside software engineering and IT teams to understand technical data structures and implement basic BI solutions.
- Adhere to and promote Axiom’s data governance and security policies.
About you:
- Bachelor's Degree in Data Science, Analytics, Computer Science, Business, or a related field (or equivalent practical experience).