Process Improvement Data Analyst
We are seeking a highly skilled Process Improvement Data Analyst to join our manufacturing team.
The successful candidate will analyse production, operational, and customer data, and work with cross-functional teams to implement changes that drive process efficiency and performance improvements.
Job Description
This role requires a blend of analytical skills, lean thinking, and hands-on implementation.
Using the latest analytics tools and processes, the CI team maximise the insights that they provide to their internal and external stakeholders, delivering professional, working solutions to the whole business.
Responsibilities:
* Work closely with the business to understand analytics needs, produce clear project outlines, undertake efficient development, and deliver high-quality solutions to support the sites continuous improvement and efficiency programme.
* Proactively analyse data to answer key questions or provide value-added solutions during development to drive business performance and commercial success.
* Make use of new and existing data sources with a high degree of efficiency to reduce redundancy and improve solution performance.
* In development and maintenance, be conscious of data integrity, security, and protection as a priority.
* Participate in personal and professional development in BI including learning new technologies and taking external certifications.
Requirements
* A minimum of 2+ years working in Continuous Improvement or Lean Manufacturing as a data, systems or business improvement process analyst or similar in a data-adjacent role.
* A passion for continuous improvement.
* Proven analytics skills and knowledge of business processes which have resulted in efficiency and process improvements.
* Strong SQL skills and a working knowledge of SQL Server Management Server.
* Expert proficiency level on Power BI, Tableau or similar and an aptitude for learning other analytics tools.
Preferred Qualifications:
* Experience working in manufacturing or manufacturing support environment, and experience working with multiple stakeholders across an organisation.
* Bachelor's Degree (or equivalent) in mathematics, computer science, engineering, economics, statistical analysis, statistics etc…
* Experience with database and model design and normalisation techniques.
* Working knowledge of Azure Analysis Services and model maintenance/development through Visual Studio.
* Practical experience with Azure Data Factory and ETL pipelines.
* Proven success in a collaborative, team-oriented environment.