Senior Data Analyst: Data Modeling, Dashboards & AI Tools

Workhuman

Dublin

On-site

EUR 70,000 - 110,000

Full time

7 days ago

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Job summary

Workhuman is seeking a Senior Data Analyst to own data modelling, analysis, reporting and stakeholder engagement across Finance and Operations in Ireland. You will translate business needs into reliable datasets, dashboards and automated workflows, collaborating with Data Platform and Architecture teams to deliver scalable solutions.

You will explore AI-assisted approaches to improve productivity and insights.

Qualifications

> Strong SQL skills and experience with large or complex datasets.
> Strong data modelling experience, including dbt or a comparable transformation framework.
> Understanding of modern data architecture concepts, including medallion architecture, data quality and stewardship.
> Experience with cloud-based data warehouse technologies such as Amazon Redshift, Snowflake or similar platforms.
> Experience developing reports and dashboards using Amazon QuickSight, Power BI, Tableau or comparable BI tools.
> Strong understanding of query optimisation, scalability and performance.
> Experience using Git and modern development practices for version control and peer review.
> Experience validating analytical outputs through reconciliation, structured testing and investigation of discrepancies.
> Ability to understand business problems, challenge requirements constructively and translate them into appropriate analytical solutions.
> Strong communication and stakeholder management skills across technical and non-technical audiences.
> Demonstrated curiosity and hands-on use of generative AI to analyse data, write or review code, automate workflows or improve productivity.
> Experience working with Finance or Back Office data, ERP systems, AWS technologies, Python or R would be beneficial.

Responsibilities

> Take a hands-on role across data modelling, analysis, reporting and stakeholder engagement.
> Translate business needs into well-designed datasets, reports and dashboards.
> Own solution design and delivery for back-office data use.
> Automate recurring reporting and reconciliation workflows.
> Improve measures and KPIs and surface actionable insights.
> Collaborate with Finance, Operations, Data Platform and Architecture teams to ensure scalable solutions.