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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 [email protected]. 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 on 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.
Skills Required
- Strong SQL skills and experience working with large or complex datasets
- Strong data modeling 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 optimization, 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 analyze 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
What We Do
Workhuman® is helping companies meet today’s biggest human capital challenges - including unprecedented turnover, employee engagement, hybrid work environments, and DE&I - through the Workhuman Cloud®, a secure SaaS platform that provides the industry’s best-in-class Social Recognition® solution. Co-Headquartered in Dublin, Ireland, and Framingham, Massachusetts, USA, Workhuman has been pioneering the human workplace to improve the employee experience at work, with solutions that engage with approx. seven million customer employees in 30+ languages, in 180 countries, generating 100 million moments of human connection. Workhuman, employs over 1,000 people – including over 500 humans in North America who sell and market our solutions and services at scale, committed to helping companies improve returns on their most important investment– their people.
Why Work With Us
We love what we do because we’re creating a better future for the workplace – and beyond – through our technology and our people. We’re building cultures of gratitude, celebration, and human connection for leading global brands – and that starts with our own. Here, you can bring your true, authentic self to work. Every day.
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Workhuman Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Our humans do their best work in different ways, whether it’s in the office full time, on a hybrid model, or fully remote; aligned to the preferred ways of working of their specific departments or teams.







































