Innovation Systems Analytics Leader (Data Analytics)
USA - Marlborough Results Way - Cytiva, United States
Danaher
As a leading global life sciences and diagnostics innovator, we are committed to accelerating the power of science and technology to improve human health.Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Cytiva, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.
You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.
Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.
Learn about the Danaher Business System which makes everything possible.
The Innovation Systems Analytics Leader is responsible for building new system capabilities and implementing data analytics to accomplish an aggressive new product growth transformation. You will be working closely with the CTO teams, central marketing teams and other PMOs to improve current systems and examining the early innovation funnel. This position is responsible for developing and maintaining data-driven strategies and plays a pivotal role in gathering, analysing, and transforming data into actionable insights.
This position reports to the Sr. Director Portfolio Insights and Modelling and is part of the Central Chief Technology Office and will be located at our site in the US.
What you will do:
Process and Analytical Development (50%):
- Data Collection and Management: Gathering and managing complex datasets from various sources, ensuring data quality and integrity.
- Data Analysis and Interpretation: Using advanced analytics tools to analyze data, identify patterns, and interpret results to provide actionable insights.
- Predictive Analytics: Developing predictive models to forecast future trends and inform strategic decision-making
- Collaboration with Cross-Functional Teams: Working closely with product development, marketing, and other teams to integrate data-driven insights into the innovation process
- Reporting and Visualization: Creating clear and concise reports and visualizations to communicate findings to stakeholders
- Continuous Improvement: Continuously refining analytics processes and tools to enhance efficiency and effectiveness
- Risk Mitigation: Using data to identify potential risks and develop strategies to mitigate them
- Process and Tool Optimization: Evaluating and enhancing existing processes and tools to improve overall productivity and innovation outcomes.
Business Application Support (50%):
- Determine operational objectives by studying business functions; gathering information; evaluating output requirements and formats.
- Design and manage new information technology solutions by analyzing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications.
- Develop and manage business and functional requirements and corresponding work products for highly complex projects to ensure stakeholders’ understanding.
- Serve as a subject matter expert and perform functions for urgent, high visibility, high profile, and strategic projects to ensure accuracy and completeness while meeting challenging deadlines.
- Coordinate and execute functional and systems tests to ensure systems work as intended.
- Administer and support PPM and supporting applications by maintaining configurations, permissions, data relationships, workflows, scripts, and other application settings as required.
Who you are:
- Prefer over 10 years’ experience within Data Sciences
- BS required. Prefer MSc or higher education in Computer Sciences, Mathematics, Data Management
- Proficiency in Data Analytics Tools: Expertise in tools like Python, R, SQL, and data visualization tools such as Tableau or Power BI
- Machine Learning and AI: Knowledge of machine learning algorithms and AI techniques to develop predictive models and automate data analysis
- Big Data Technologies: Experience with big data platforms like Hadoop, Spark, and cloud-based data services (e.g., AWS, Azure, Google Cloud)
- Data Management: Skills in data warehousing, ETL processes, and database management systems
- Programming Skills: Proficiency in programming languages such as Python, Java, or Scala for data manipulation and analysis
It would be a plus if you also possess previous experience in:
- Accolade PPM experience
Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.
This job is also eligible for bonus/incentive pay.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
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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.
For more information, visit www.danaher.com.
Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
The EEO posters are available here.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@danaher.com to request accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Data analysis Data Analytics Data management Data quality Data visualization Data Warehousing ETL GCP Google Cloud Hadoop Java Machine Learning Mathematics Power BI Python R Research Scala Spark SQL Tableau
Perks/benefits: Career development Competitive pay Health care Insurance Salary bonus Startup environment Team events
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