BI and Engineering Analyst

Salary: £13,000 - 49,000 per year

Requirements:

• Solid background in data analysis and business intelligence, ideally in a software or technology organisation, with experience working with engineering, product and operational data.
• Hands-on experience building dashboards and reports from scratch for specific audiences using Power BI, Tableau, Looker or an equivalent BI tool.
• Working-level SQL skills; Python or similar scripting capability is a plus, particularly for data wrangling and pipeline automation.
• Pragmatic approach, with the ability to deliver useful solutions quickly and iterate.
• Ability to ask the right questions, clarify underlying stakeholder needs and communicate findings clearly to non-technical audiences.
• Self-sufficient and organised, with the ability to manage requests across multiple workstreams and handle ambiguity in source data.
• Familiarity with engineering metrics frameworks such as DORA metrics, deployment frequency, lead time for change and change failure rate is beneficial.
• Practical experience integrating data from multiple source systems using APIs, connectors or automated extraction methods is beneficial.
• Experience with engineering platforms such as Jira, GitHub, Azure DevOps or Datadog, or similar tooling ecosystems, is beneficial.
• Exposure to engineering transformation, software delivery or operational excellence programmes is beneficial.

Responsibilities:

• Own the end-to-end data and reporting capability supporting the Engineering Transformation Programme.
• Collate and integrate data from sources across the engineering estate, including Jira, GitHub/Azure DevOps, Datadog, Aha!, HR systems and programme-specific trackers.
• Design and own a metrics framework covering engineering productivity, quality, delivery and workforce transition.
• Build and maintain accurate, timely and fit-for-purpose dashboards and reports for programme leadership, divisional VPs, the CTO and the CPO.
• Translate stakeholder questions into data problems and present findings in accessible, useful outputs.
• Establish repeatable, low-maintenance data pipelines where possible, reducing manual collation and one-off analysis.
• Support the Central VPs and the Director of Agentic SDLC with data and reporting for their workstreams.
• Proactively identify and communicate data quality issues, including inconsistent, missing or unreliable source data, and propose solutions where possible.
• Create executive-level dashboards that support informed decision-making.
• Build consistent metrics and reporting standards across programme workstreams and develop frameworks that can scale with organisational maturity.
• Ensure stakeholders can rely on the integrity and accuracy of reporting, and identify trends, risks and opportunities in engineering and workforce data.
• As the programme matures, help connect quality signals across Datadog, Pendo and the PDLC to inform roadmap decisions, develop self-service reporting for divisional engineering leaders, and contribute to the long-term data strategy for Engineering Operations.

Technologies:

• Azure
• Business Intelligence
• CTO
• Datadog
• DevOps
• GitHub
• Support
• JIRA
• Looker
• Power BI
• Python
• SQL
• Tableau
• Cloud
• Backbone

More:

We are IRIS Software Group, one of the UKs largest privately held software companies, trusted by more than 100,000 businesses, schools and accountancy firms. Our software pays one in six UK employees, supports more than 12,000 schools and is relied on by 91 of the top 100 UK accountancy firms. We are a Great Place to Work-certified employer recognised for our commitment to wellbeing, inclusion and development, and we are growing fast. This full-time, hybrid role is based remotely in the UK and supports our Engineering Transformation Programme. It will establish the reporting, metrics and data foundations needed to give teams, divisions and executive leaders a consistent, evidence-based view of progress. The role bridges technical data work and practical business intelligence, with an emphasis on timely, useful insights. We offer opportunities for impact, continuous learning and career development, and a culture that celebrates diversity and empowers every individual. Our hiring process typically includes an application review, an initial call, a role-specific skills assessment and a final interview; we explain the specific stages at the outset. We are committed to making the application and interview process accessible and can provide adjustments or accommodations.

last updated 40 week of 2026