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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # BI and Engineering Analyst - **Company:** IRIS - **Location:** UK (Remote available) - **Salary:** £58,167.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, JIRA, Microsoft Azure, Data Infrastructure, Data Integration, Github, Python (Programming Language), Operational Data Store, Systems Development Life Cycle, Power BI, SQL Databases, Tableau (Software), Datadog, Data Processing, Delivery Pipeline, Data Strategy, HR Software, Looker Analytics, Data Pipelines - **Published:** September 27, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5899756057 ## About the Role Essential Experience: * Solid background in data analysis and BI, ideally in a software or technology organisation. Comfortable working with engineering, product and operational data. * Hands-on experience building dashboards and reports in one or more mainstream BI tools - Power BI, Tableau, Looker, or equivalent. Not just maintaining existing dashboards, but designing them from scratch for a specific audience. * Comfortable with SQL at a working level. Python or similar scripting capability is a plus, particularly for data wrangling and pipeline automation. Leadership Style & Approach, * Asks the right questions before building. Understands that the stated request and the underlying need are not always the same thing. * Is a clear communicator who can present findings to non-technical stakeholders without hiding behind data complexity. * Is self-sufficient and organised, capable of managing multiple requests across different workstreams. * Is comfortable with ambiguity in source data and surfaces data quality issues honestly rather than producing outputs that look clean but cannot be trusted. Nice to Have * Familiarity with engineering metrics frameworks such as DORA metrics, deployment frequency, lead time for change and change failure rate. * Practical experience integrating data from multiple source systems using APIs, connectors or automated extraction methods. * Experience working with engineering platforms such as Jira, GitHub, Azure DevOps, Datadog or similar tooling ecosystems. * Exposure to engineering transformation, software delivery or operational excellence programmes. ## Description * Collate and integrate data from multiple sources across the engineering estate - including Jira, GitHub/Azure DevOps, Datadog, Aha!, HR systems and programme-specific trackers. * Design and own the metrics framework for the Engineering Transformation Programme, covering engineering productivity, quality, delivery and workforce transition. * Build and maintain dashboards and reports for programme leadership, divisional VPs, the CTO and the CPO, ensuring they are accurate, timely, and fit for purpose. * Translate stakeholder questions into data problems and data findings into accessible outputs. Understand what a VP actually needs to see, not just what the data can produce. * Establish repeatable, low-maintenance data pipelines where possible, reducing the reliance on manual collation and one-off analysis. * Support the Central VP's and the Director of Agentic SDLC with data and reporting relevant to their workstreams. * Flag data quality issues proactively. Where source data is inconsistent, missing, or unreliable, surface that clearly rather than papering over it, ideally with an accompanying solution. Delivering Trusted Insights You'll serve as the analytical backbone of the Engineering Transformation Programme, supporting leaders with accurate and actionable reporting. You'll: * Create executive-level dashboards that drive informed decision-making. * Build consistent metrics and reporting standards across programme workstreams. * Develop reporting frameworks that can scale with organisational maturity. * Ensure stakeholders can trust the integrity and accuracy of the data they rely on. * Identify trends, risks and opportunities within engineering and workforce data. Future Growth Areas * As the programme matures and the supporting data infrastructure evolves, the role is expected to expand into strategic areas including: * Quality signals as a product input, helping close the loop between Datadog, Pendo and the PDLC so that quality data informs roadmap decisions. * Self-service reporting capabilities for divisional engineering leaders. * Contribution to the long-term data strategy for Engineering Operations as the function grows., Our process is designed to be fair, transparent and straightforward. Stages vary depending on the role - more senior positions may involve additional steps, and some areas include role-specific assessments such as a technical test or case study - but typically you can expect: 1. Application review - we assess your experience and potential 2. Initial call - a short conversation to learn about you and share more about the role 3. Skills assessment - tailored to the position, e.g. case study, coding challenge or portfolio review 4. Final interview - meet the team and explore how you'll make an IMPACT at IRIS We'll always walk you through the specific stages at the start of the process so you can prepare with confidence. ## Related Videos - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [IT Salaries in UK](https://www.wearedevelopers.com/magazine/288-it-salaries-in-uk)