At a Glance
- Tasks: Lead a team to develop impactful data solutions and drive analytics excellence.
- Company: Join a large-scale industrial organisation focused on data-driven manufacturing.
- Benefits: Competitive salary, career growth, and the chance to shape future analytics.
- Other info: Work on transformative initiatives that enhance productivity and business growth.
- Why this job: Make a real difference in manufacturing by leveraging data and technology.
- Qualifications: Experience in data engineering, analytics, and strong communication skills.
The predicted salary is between 24000 - 64000 £ per year.
We are looking for proven experience leading data engineering, analytics, or business intelligence teams. We require a strong understanding of industrial data environments and operational technology (OT) systems. We value experience working with platforms such as AVEVA PI, industrial historians, or similar manufacturing data systems. We need demonstrated expertise in building data pipelines, data models, and enterprise analytics solutions. We expect strong knowledge of data governance, metadata management, data quality, and data architecture best practices. We require experience integrating manufacturing, ERP, maintenance, quality, and other business systems. We are looking for excellent stakeholder management and communication skills, with the ability to influence at all levels of the organisation. We value a proactive, problem-solving mindset with a focus on delivering tangible business outcomes.
Responsibilities:
- Lead, mentor, and develop a team of Data Engineers, setting priorities and ensuring high-quality delivery.
- Design, build, and maintain scalable OT-to-business data architectures and ingestion pipelines, supporting both real-time and batch processing.
- Integrate operational technology platforms, including AVEVA PI, with ERP, maintenance, quality, and other enterprise systems.
- Develop and maintain standardised, granular datasets and data models that enable operational reporting, advanced analytics, and business intelligence.
- Establish and champion data governance best practices, including data quality, lineage, metadata management, and documentation.
- Create reusable analytics assets, KPI frameworks, and self-service data products that empower site and corporate teams.
- Partner with Operations, Asset Management, IT, and Business Leadership teams to identify opportunities, prioritise initiatives, and deliver impactful analytics solutions.
- Implement monitoring, automation, and CI/CD practices to ensure reliable and efficient data workflows.
- Translate complex data into clear insights, dashboards, and recommendations that support operational and strategic decision-making.
Technologies: Business Intelligence, CI/CD, ERP Support.
We are a large-scale industrial organisation focused on driving data-driven manufacturing excellence across our Paper Division. This is a unique opportunity to shape the future of manufacturing analytics at the intersection of operations, technology, and business strategy. You will lead a small but highly capable data engineering team and help deliver solutions that improve performance, optimise asset utilisation, and support critical business priorities. We offer the chance to work on meaningful transformation initiatives that directly influence productivity and long-term growth.
Business Analytics Lead in Sittingbourne employer: Sivara GmbH
As a leading industrial organisation, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a strong focus on professional development, we offer numerous growth opportunities and the chance to work on impactful projects that drive manufacturing excellence. Located in a dynamic environment, our team enjoys competitive salaries, comprehensive benefits, and the satisfaction of contributing to meaningful transformation initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analytics Lead in Sittingbourne
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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 Sivara GmbH.
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We think you need these skills to ace Business Analytics Lead in Sittingbourne
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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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 Sivara GmbH!
✨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.
