Senior Data Analyst
Workhuman is hiring a Senior Data Analyst for a remote role open to applicants in Ireland. Level rates it ; you can apply on Workhuman.
Level's read on this job
- On Level's scale, this data analyst role is Uses AI ●●○○: an ordinary role that requires AI tools.
- The posting lists this role as remote.
- Tools and skills the posting cites include SQL, dbt and AI Assisted Tools.
- Level classifies it as a senior role.
- Level lists 7 other open roles at Workhuman.
AI in this role
Support Finance and Operations with data modeling, reporting, analytics, and AI-assisted SQL development as a Senior Data Analyst.
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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 globalrecruitment@workhuman.com. 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.
How we rate this
Senior Data Analyst at Workhuman rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $112k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where reporting was part of your work. What did you do?
- Tell me about a project where dashboard design was part of your work. What did you do?
- Tell me about a project where stakeholder engagement was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Modeling, Data Analysis, Reporting, Dashboard Design, and Stakeholder Engagement. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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