Senior Business Analyst & Value Tracking

Danaher Corporation; Cambridge; On-site; GBP 75,000 - 110,000; Full time

Job summary

Danaher Corporation in Cambridge is seeking a Senior Business Analyst & Value Tracking to define KPI frameworks, quantify benefits, and track realised value from AI investments, partnering with AI Product Owners and stakeholders.

You will design dashboards in Power BI, analyse large enterprise data, and communicate insights to business and technology leaders, contributing to value creation across Danaher's Enterprise AI initiatives.

Qualifications

• Bachelor's or master's degree in data analytics, statistics, CS, engineering, mathematics, or related field.

Responsibilities

• Define KPI frameworks and quantify benefits for AI initiatives.

Skills

Power BI

SQL

Excel

Python

Azure Data Platform

Data visualisation

Education

Bachelor's or Master's degree in data analytics or related field

Tools

Power BI

Azure Data Platform

Job description

Senior Business Analyst & Value Tracking

Cambridge, GBR

Danaher Corporation

2026-09-23T03:57:10.068Z

Bring more to life.

At Danaher, our work saves lives. And each of us plays a part. Fuelled by our culture of continuous improvement, we turn ideas into impact - innovating at the speed of life.

Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.

Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we're committed to hiring and developing from within. You'll thrive in a culture of belonging where you and your unique viewpoint matter.

DHR Enterprise AI Solutions is Danaher's enterprise AI engineering capability, responsible for identifying opportunities, building and scaling reusable AI solutions, and accelerating measurable business impact across operating companies. We combine product, architecture, AI science, engineering and operations to industrialise AI, establish enterprise standards and enable the next generation of AI-powered products, workflows, applications and decision-making.

The Senior Business Analyst & Value Tracking is responsible for establishing, measuring, and communicating the business value of Enterprise AI initiatives across Danaher. This role partners with AI Product Owners, Business Stakeholders, Digital & Technology teams, and Operating Companies to define KPIs, quantify benefits, monitor adoption, and track realised value from AI investments.

In this role, you will have the opportunity to:

• Define and implement value measurement frameworks for AI products and enterprise AI programs, including productivity, revenue, quality, customer experience, and cost savings metrics.
• Partner with business stakeholders across Danaher Operating Companies to identify baseline metrics, establish success criteria, and quantify realised business outcomes
• Design, build, and maintain executive dashboards and scorecards using Power BI and other analytics platforms to provide visibility into AI portfolio performance
• Analyse large and complex datasets from multiple enterprise systems to generate actionable insights and recommendations for business and technology leaders

The Essential Requirements of the Job Include:

• Bachelor's or master's degree in data Analytics, Statistics, Computer Science, Engineering, Mathematics, Business Analytics or related field.
• Seven plus years of experience in Data Analytics, Business Intelligence, Value Realisation, Strategy Analytics, Financial Analytics, or Program Analytics roles.
• Strong hands-on experience with Power BI & reporting tools, SQL, Excel, data visualisation techniques, Python, Azure Data Platform and Data visualisation
• Experience defining KPIs, business metrics, and performance measurement frameworks for digital, software, AI, or transformation initiatives

It would be a plus if you also possess previous experience in:

• AI, Generative AI, Machine Learning, or Digital Transformation programs
• Value realisation, benefits tracking, or portfolio management practices
• Data platforms such as Snowflake, Azure Data Lake, Databricks, or similar technologies