At a Glance
- Tasks: Automate data processes and create insightful dashboards to enhance operational efficiency.
- Company: Franke, a global leader in kitchen solutions with a focus on innovation.
- Benefits: Hybrid working model, professional growth opportunities, and a dynamic international environment.
- Other info: Exciting career prospects in a supportive and collaborative workplace.
- Why this job: Join a forward-thinking team and make a real impact on data-driven decision-making.
- Qualifications: Degree in Information Systems or Data Analytics; experience with Power BI and Excel.
The predicted salary is between 40500 - 49500 £ per year.
About Franke
We, the Franke company with its three divisions, are a world's leading supplier of products and services for domestic kitchens, the professional foodservice systems and the convenience store sector as well as for professional coffee making.
With around 60 companies, we are at home on five continents.
Over 8,000 employees constantly take on new perspectives to identify opportunities and turn them into inspiring, innovative solutions for tomorrow's demands.
The Franke Home Solutions division is the world's leading provider of smart systems for domestic kitchens.
Drawing on a long history of reliability and expertise, we help our partners enhance their businesses and provide outstanding kitchen and cooking experiences to our consumers by offering complete solutions for food preparation and cooking.
About The Job
The Graduate Data & Automation Analyst position gathers, cleans, and interprets logistics, inventory, and supplier data to help Franke improve operational efficiency and reduce costs.
This will include elimination of manual data handling, routine reporting, and human intervention across supply chain and other departments' workflows.
By orchestrating data workflows, and deploying self-refreshing dashboards, this role turns disparate operational data into real-time, trusted insights.
Ultimately, the position accelerates decision-making speed, ensures high reporting accuracy, and enables operational teams to focus on strategic execution rather than manual administrative tasks.
- Your tasks
- Automation: Apply data validation checks and monitoring to ensure business-critical supply chain reporting meets high accuracy standards.
Replace manual daily/weekly reporting routines with automated scripts and Power Automate flows, removing human intervention from report delivery.
- Process Mapping: Analyse current manual data-handling processes, identify bottlenecks, and recommend automated digital solutions.
- Data Collection & Analysis: Gather and examine large datasets from ERP/MRP systems, warehouse logs, and shipping platforms to identify bottlenecks, inefficiencies, and cost-saving opportunities.
- Dashboard & KPI Development: Build, maintain, and automate reporting dashboards (using tools like Power BI, Tableau, or advanced Excel) to track vital metrics such as inventory turnover, lead times, and delivery performance.
- Master
- Data
Management: Ensure data accuracy, integrity, and governance across supply chain systems, including Bill of Materials (BOM) maintenance and item attributes where applicable.
Requirements
- Education: Bachelor's or Master's degree in Information Systems, or Data Analytics.
- Hands-on project experience building interactive reports in Power BI, and Excel.
- Experience of other useful programming languages such as Python.
- Advanced Microsoft Excel (VLOOKUPs, pivot tables, data modelling).
- Business intelligence and visualisation tools (e. g., Power BI, Tableau).
- Desirable - Familiarity with ERP/MRP enterprise software (e. g., SAP, Microsoft Dynamics, etc).
- Core Competencies
Strong problem-solving mindset, high attention to detail, and excellent written and verbal communication skills to present technical data to non-technical stakeholders
What we offer you
- an exciting and varied job in an international environment
- a work environment which promotes further growth and continuing education
- modern employment conditions
- Employee Benefits
- Hybrid working - 3 days in the office and 2 days work from home
- For more information see: www. franke. com
- Important information for all executive search companies, headhunters and HR consultants
The Franke Group does not accept unsolicited support from headhunters and personnel consultants for our career opportunities.
Any CV/resume vitae submitted to Franke or its employees by external recruitment agencies without a valid written recruitment agreement related to the position in question shall be deemed the sole property of our company.
In the event that a candidate presented by an agency is hired in our company and there is no prior agreement, no fee will be paid.
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Graduate Data & Automation Analyst in Manchester employer: Franke Group
Franke is an exceptional employer that fosters a dynamic and inclusive work culture, providing employees with exciting opportunities for growth and development within an international environment. As a Graduate IT Support Specialist in Manchester, you will benefit from modern employment conditions, comprehensive training, and the chance to collaborate with a diverse team across multiple locations, ensuring a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data & Automation Analyst in Manchester
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We think you need these skills to ace Graduate Data & Automation Analyst in Manchester
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!
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✨Brush Up on Your Statistics
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✨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.
