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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