Senior Business Data Analyst

Senior Business Data Analyst 

 

Function 

Data & Analytics 

Reports to 

Head of Data / Analytics Lead 

Level 

Senior Individual Contributor 

Location 

3-Days per week in Dublin/Hybrid Preferred 

Employment type 

Permanent, Full-time 

 

About the Role 

We are looking for a Senior Business Data Analyst to sit within our Data & Analytics team. This is a high-impact role for someone who is equally comfortable in a room with stakeholders unpicking a business problem as they are building the report or logic that solves it. You will be the connective tissue between business needs and data outputs, translating messy requirements into clean, reliable, decision-ready reporting. 

 

This is not a role where requirements get handed off to someone else. You will own the full arc: discovery, definition, build, and delivery. You will work closely with stakeholders across the organisation and operate with a high degree of autonomy within a lean, fast-moving team. 

 

What You'll Do 

Requirements & Stakeholder Engagement 

• Lead requirements-gathering sessions with business stakeholders, translating ambiguous needs into clearly defined reporting specifications 

• Produce concise business requirements documents (BRDs), data dictionaries, and logic definitions that can be built from directly 

• Act as the primary point of contact between business units and the data team — managing expectations, scoping requests, and pushing back where needed 

• Proactively identify reporting gaps and surface opportunities to improve data visibility across the organisation 

 

Reporting & Analytics Build 

• Design and build dashboards, reports, and self-serve analytics tools using your BI platform of choice 

• Write and maintain the underlying logic, transformations, and business rules that power reporting outputs 

• Ensure reports are accurate, well-documented, and built to a standard that others can maintain 

• Develop and monitor KPIs and performance metrics in partnership with operational and commercial teams 

 

Data Quality & Governance 

• Validate data accuracy and flag upstream issues — working with data engineers where pipeline fixes are  

• Maintain documentation of report logic, data sources, and definitions so outputs are auditable and trustworthy 

• Champion consistent metric definitions and push for a single source of truth across reporting 

 

Collaboration & Communication 

• Present findings and reporting outputs clearly to non-technical audiences, including senior leadership 

• Support junior analysts with requirements techniques and report quality 

• Contribute to analytics team ways of working, tooling decisions, and prioritisation 

 

What We're Looking For 

Essential 

• 5+ years of experience in a Business Analyst, Data Analyst, or hybrid BA/DA role 

• Proven ability to gather and document business requirements independently — from initial discovery through to sign-off 

• Strong proficiency in at least one major BI tool (e.g. Power BI, Tableau, Looker, or equivalent) — including building reports from scratch, not just editing existing ones 

• Solid SQL skills for querying, transforming, and validating data 

• Experience writing business logic and calculation definitions in a structured, reproducible way 

• Strong communication skills — able to manage stakeholder relationships and explain technical constraints plainly 

• High attention to accuracy and a track record of producing reports that people trust 

 

Desirable 

• Experience working in a lean or scaling organisation where structure and process has had to be built, not inherited 

• Experience with DataBricks 

• Familiarity with data modelling concepts (star schema, dimensional modelling) — not necessarily building models, but understanding them 

• Exposure to dbt, Airflow, or similar data transformation tooling 

• Experience defining and maintaining a metrics layer or semantic model 

• Comfortable operating as a senior individual contributor without a large support structure around you 

 

What Success Looks Like 

What Success Looks Like 

30 days 

You understand the data landscape, key stakeholders and the top reporting pain points. You have delivered at least one piece of analytical work independently. 

90 days 

You are running requirements sessions independently, have built and shipped multiple reports, and stakeholders know who to come to. You have identified at least one gap in how the business measures performance and proposed a solution. 

6 months 

You are a trusted partner to multiple business functions. The quality and reliability of reporting has measurably improved. You have contributed to how the analytics team works — including documentation standards, intake processes, or tooling.