Senior Data Analyst

Workhuman; Dublin; On-site; EUR 70,000 - 110,000; Full time

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.

Skills

SQL

Data modelling

dbt

Cloud DW

BI tools

Query optimisation

Git

Data validation

Stakeholder mgmt

Generative AI

Python/R

Finance data

Tools

Amazon Redshift

Snowflake

Power BI

Tableau

Amazon QuickSight

Git

Python

R

AWS

Job description

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

At Workhuman®, our mission is to bring more humanity to the workplace. We recognize and embrace individual differences and believe that diversity, inclusion, and belonging are essential to our long-term growth and success. We encourage candidates from all backgrounds and experiences to apply—even if you don’t feel you meet every qualification listed above. We’re looking for collaborative, innovative humans with a growth mindset who can bring unique perspectives to our team.

We are also committed to creating an inclusive and accessible application process for all candidates. If you require any accommodations or support during the application or interview process, or encounter any accessibility barriers, please contact us at [e-mail]. We are dedicated to ensuring equal access to opportunities for all individuals.

Workhuman is an Equal Opportunity Employer and is committed to the principle of equal employment opportunity for all employees. We proudly provide a work environment free of discrimination and harassment. Employment decisions at Workhuman are based solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Workhuman believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.