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 required
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
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.
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