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Computershare in Edinburgh is seeking an MI Analyst to join the AI Hub, delivering reporting standards, KPI frameworks and benefits measurement across the AI SDLC programme.
You will work with programme leaders and stakeholders to shape trusted CIO-facing insights, dashboards, data models, and governance to drive decision-making and value realisation.
Responsibilities include AI adoption and benefits tracking
Location: Edinburgh (Hybrid)
In this position, you’ll be based in the Edinburgh office for a minimum of three days a week, with the flexibility to work from home for some of your working week.Find out more about our flexible work culture at computershare.com/flex .
We give you a world of potential
Computershare has an exciting opportunity for an MI Analyst to join our team in Edinburgh.
Reporting directly to our Delivery Lead, you'll join our brand-new AI Hub, a growing team focused on delivering innovative technology solutions and exploring how emerging technologies can create value across our business.
Working closely with programme leaders, senior stakeholders and technical colleagues, you'll contribute to impactful initiatives, gain broad exposure across the organisation and play a key role in the evolution of our technology landscape.
The MI Analyst will play a contributing role in helping to shape and mature the management information, measurement, and value-tracking capability for our AI SDLC Programme.
In this role, you will be responsible for establishing reporting standards, data quality expectations, KPI frameworks, and benefits measurement approaches that provide trusted, CIO-facing visibility of AI adoption, delivery performance, and value realisation.
As the subject matter expert for AI SDLC management information, you will ensure that insights are accurate, consistent, actionable, and used to drive prioritisation, governance, and senior stakeholder decision-making.
What will you bring to the role?
We’re looking for someone with strong management information and analytics expertise, including experience designing insightful dashboards and reporting products, developing robust data models, defining trusted metrics, and creating governed reporting assets that support senior stakeholder decision‑making.
You’ll have proven experience building management information, dashboards, and reporting packs for AI adoption, technology delivery, or transformation programmes. You'll also have experience defining baselines, KPIs, benefits measures, and value‑tracking methodologies that demonstrate programme success.
In addition, you'll be confident working with data manipulation, transformation, analysis, and visualisation tools, including Power BI, Excel, and Power Query.
This is a fantastic opportunity to be part of an exciting stage in our AI journey, helping to drive AI implementation, adoption, and value across the business. You'll have the chance to influence strategic decision‑making, work with senior stakeholders, and make a measurable impact on how AI is delivered and adopted.
A company to be proud of
We're a global leader in financial administration with over 11,000 employees across more than 22 different countries. At Computershare, it’s more than just a job, our open and inclusive culture means that we will help you to grow, to move forward and make the most of our world of opportunities.
Fairness and culture
We want to provide you with the opportunity to succeed on your own merits, starting from the application process and continuing throughout your career with us. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all. For support with accommodations or adjustments during our recruitment process please visit computershare.com/access for further information.
Our Technology Services team is a place where new ideas and approaches are welcomed, and every individual is equipped and empowered to create change. We're a rapidly evolving and diverse global business and there is always something to learn, opportunities to explore and a broad range of career paths to progress along.