At a Glance
- Tasks: Define and measure the business value of AI initiatives across Danaher.
- Company: Join Danaher, a leading science and technology company making a real difference.
- Benefits: Competitive salary, career development, and a culture of belonging.
- Other info: Dynamic team environment with opportunities for impactful work.
- Why this job: Accelerate your potential while innovating at the speed of life.
- Qualifications: Bachelor's or master's degree in relevant fields and 7+ years of analytics experience.
The predicted salary is between 63000 - 77000 £ per year.
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.
Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
Senior Data Analyst & Value Tracking in Cambridge employer: Danaher
Cytiva is an exceptional employer that fosters a culture of belonging and innovation, where your unique perspective is valued. With a commitment to employee growth and development, you will have the opportunity to lead impactful projects in life sciences while enjoying comprehensive benefits and a supportive work environment. Located across multiple strategic sites, including Puerto Rico and the UK, Cytiva offers a dynamic workplace that prioritises safety, quality, and continuous improvement, making it an ideal place for those looking to make a meaningful difference in human health.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst & Value Tracking in Cambridge
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Danaher!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst & Value Tracking at Danaher.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Danaher.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst & Value Tracking at Danaher, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst & Value Tracking in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Danaher, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Danaher. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Danaher
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Danaher!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
