# Senior Data Analyst at Workhuman > Hybrid · Ireland · Senior · Analytics / Data science · open. Source: https://alderhq.app/jobs/ashby%3AWorkhuman%3A14aa7219-4bbc-49b3-8add-7368e797c751 (read 2026-11-12). ## Facts (observed) - Company: [Workhuman](https://alderhq.app/companies/workhuman) - Location text: Dublin, Ireland (HQ) - Where it can be done from (inferred): Hybrid · Ireland (evidence: "Location: Dublin, Ireland (HQ)") - Posted: 2026-09-29 (44 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/workhuman/14aa7219-4bbc-49b3-8add-7368e797c751 - Skills listed (inferred): Python, AWS, Snowflake, dbt, SQL, LLMs ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (Dublin, n 4): p25 €56k, median €62k, p75 €68k ## Description (the employer's text) Be wary of scams, Workhuman will never ask for payments or seek personal information beyond that which is necessary to process your application for employment. If in doubt, do not share your personal or financial information and feel free to reach out to Workhuman directly at globalrecruitment@workhuman.com. ### The Opportunity Join our Back Office Reporting team at Workhuman, supporting Finance and Operations with trusted data, reporting and analytical solutions. As a Senior Data Analyst, you will take a hands-on role across data modelling, analysis, reporting and stakeholder engagement. You will work closely with business stakeholders, Business Analysis, Business Analytics, Data Platform and Architecture teams to translate business needs into well-designed datasets, reports, dashboards and analytical solutions that are reliable, performant, consistent with architectural guidelines and easy to use. You will have ownership of solution design and delivery, helping to shape how Finance and Operations use data. This includes simplifying existing reporting, automating manual analysis and reconciliation, improving measures and KPIs, and identifying opportunities to deliver more actionable insights. We are also looking for someone who is curious about emerging technologies and comfortable using AI-assisted tools as part of day-to-day analytical work, including SQL development, data investigation, testing, documentation and workflow automation. The ideal candidate combines strong technical capability with sound business judgement and is comfortable constructively challenging existing approaches where a simpler, more scalable or more insightful solution may be possible. ### What we can offer you Significant ownership of analytical solution design and delivery across Finance and Operations The opportunity to help shape and mature our Back Office reporting and data capabilities Hands-on experience building reusable data models, reporting solutions and self-service analytics The opportunity to simplify and automate recurring reporting and analytical workflows Exposure to modern data architecture, cloud technologies and development practices The freedom to explore how AI can improve analytical workflows and productivity ### The skills you will bring Strong SQL skills and experience working 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, professionally or independently, to analyse data, write or review code, automate workflows or improve analytical productivity Experience working with Finance or Back Office data, ERP systems, AWS technologies, Python or R would be beneficial ### Achievements Built reusable data models, reports or dashboards that improved how stakeholders access and use data Improved reporting or analytical processes through automation, simplification or better measures Validated and reconciled analytical outputs to improve trust and data quality Translated complex or ambiguous business requirements into scalable analytical solutions Used or experimented with AI-assisted tools to improve analytical workflows, development productivity or how stakeholders access and use data --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3AWorkhuman%3A14aa7219-4bbc-49b3-8add-7368e797c751 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.