About the role

Delivery Performance exists to assure the success of the Digital portfolio by strengthening quality and predictability through clear methodology, outcome measurement, and continuous improvement. It builds organisational memory of effective best‑practice standards, improves and simplifies how teams deliver work, and aids programmes with delivery excellence and assurance to give transparent oversight of portfolio health and capacity, and address risks before they become issues.

The role - the Data Analytics Professional provides the backbone for the Delivery Metrics Programme, transforming raw delivery data into clear, reliable and viable insight that underpins Digital’s performance measurement framework. The role aids the collection, analysis, interpretation and presentation of data to drive decision making and enable leaders to ‘steer to car’ in the right direction, leveraging automation and AI to bring richer insight and grow confidence in Delivery Performance reporting. The Data Analytics Professional creates, validates and continuously refines of standardised delivery metrics, including Earned Value, engine‑room and flow metrics, adoption indicators and balanced scorecard metrics, playing a critical role in ensuring accuracy, data integrity and consistency across all reporting. Working closely with the Metrics Programme Lead, the role interrogates data, identifies trends, highlights anomalies and produces high‑quality analysis and visualisations that help stakeholders apprehend performance across the Digital Portfolio to ensure the success of the delivery performance function.

Why it’s important – Accurate measurement is essential for identifying risks, be aware of bottlenecks and enabling data‑driven decisions that improve the predictability and effectiveness of Digital delivery. This role ensures that the insights powering those decisions are sound, timely and transparent, strengthening BT’s ability to see what is and isn’t working and intervene early. By elevating the quality, structure and accessibility of delivery analytics, the Data Analytics Professional plays a critical role in improving the flow of value, sharpening portfolio visibility and driving sustained uplift in Digital’s delivery performance.

What you’ll be doing

• Contributes to the build of a new function that establishes transparent visibility of delivery performance and status, to enable early warning and course correction in service of protecting the Digital Portfolio
• Sources, extracts, validates, integrates, organises and analyses data, from multiple sources, to enable the functions goals – including input to the management of the Digital delivery portfolio, stakeholder dashboards, insight for business decisions, and reporting on key metrics
• Designs, builds and iterates reports and dashboards that intuitively visualise actionable data and insight for stakeholders, maintaining integrity of past trends, and being responsible for their timely and accurate maintenance.
• Leverages metrics and source data to generate actionable insights that mitigates risks or increases efficiency
• Be aware of the Delivery Performance Metrics programme, including pitfalls in the meaningfulness of the data and recommends mitigating action to continually increase trust and confidence in the unit’s reporting
• Aids the Metrics Programme Lead in extracting value from our data and innovating new ways of managing and apprehend our data, using AI, algorithms and statistical analysis  to continually improve management of the Digital Portfolio.
• Drives continuous improvement by automating data collection/production, taking a user-centred approach to uplifting the value of self-serve capabilities, and maintaining documentation and version control on existing data models and reports.
• Aids the scoping, design, and delivery of data analytics activities focused on performance and continuous improvement across teams 
  Continuously explores emerging trends in data analytics and methodologies, sharing knowledge to enhance the team's capabilities and effectiveness. 

Essential Skills / Experience

• AI proficiency: Applies AI and automation tools to analyse data at scale, uncover deeper insights, make predictions, and streamline logical workflows for faster, more accurate decision-making
• Data Analysis: Collects and interprets data to uncover patterns and trends
• Statistical analysis: Uses mathematical models to quantify relationships between data points and make predictions.
• Data storytelling: Effectively communicates insights from a dataset using narratives and visualisations.
• Programming / scripting: Applies a computer language to communicate with computers using a set of instructions and to automate the execution of tasks.
• Data dashboards: Tracks, analyses, and displays key performance indicators, metrics, and data points
• Business intelligence reporting: Uses a Business Intelligence tool to prepare and analyse data to find and share viable insights.
• Data design / development: Designs and developments data management systems.
• Data decision support: Models data with the aim of supporting the strategic decision-making process.
• Data quality: Employs processes, methods, and technologies to ensure the quality of the data meets specific business requirements

Desirable Skills / Experience

• Previous experience managing measurement frameworks to inform strategic decision making
• Previous experience using data to inform and make business decisions.
• Know how of the software development lifecycle and delivery methodologies
• Experience working with Qlik, Jira and Planview desirable
• Experience applying AI in Data Analytics contexts