At a Glance
- Tasks: Analyse workforce data to optimise staffing and improve operational performance.
- Company: Join a leading luxury airline catering company known for elegance and sophistication.
- Benefits: Competitive salary, free meals, in-house training, and career development opportunities.
- Why this job: Make a real impact with data insights in a dynamic and innovative environment.
- Qualifications: Experience in data analysis, strong analytical skills, and proficiency in Excel, SQL, and Power BI.
- Other info: Collaborative culture with opportunities for growth both nationally and internationally.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Our production unit takes pride in offering top-tier luxury airline catering that is both elegant and sophisticated. Our team is dedicated to crafting a oneâofâaâkind experience that is attractive to even the most discerning passengers. We focus on providing exceptional quality, firstâclass service, and an exquisite range of menu options that are sure to impress.
We are seeking a dataâdriven and detailâoriented Data Analyst to join our DO & CO airline catering team in London. This role plays a vital part in supporting our operational performance through insightful analysis and dataâdriven decisionâmaking. Initially focused on workforce analytics, the role will evolve to provide analytical support across broader business areas, including operations, finance, and customer performance. The successful candidate will help turn complex data into clear insights that drive efficiency, productivity, and continuous improvement across the business.
Key Responsibilities- Workforce Analysis: Analyse workforce data to identify trends, forecast resource needs, and support effective labour planning. Work closely with HR and Operations to optimise staffing levels, shift patterns, and productivity. Monitor KPIs such as labour costs, overtime, absenteeism, and efficiency metrics.
- Operational & Business Analytics: Develop reports and dashboards that provide visibility into operational performance, including production, logistics, and customer delivery metrics. Support crossâdepartmental projects with data insights and performance tracking. Conduct root cause analyses to identify opportunities for process improvements and cost efficiencies.
- Reporting & Data Management: Design, automate, and maintain regular reporting structures for internal and external stakeholders. Ensure data accuracy, consistency, and reliability across various systems. Present clear and actionable insights through data visualisation tools (e.g., Power BI).
- Collaboration & Stakeholder Support: Partner with HR, Operations, Finance, and senior management to understand data requirements and deliver tailored insights. Communicate analytical findings effectively to both technical and nonâtechnical audiences. Support a dataâdriven culture by promoting the use of analytics in decisionâmaking processes.
- Continuous Improvement & Innovation: Identify opportunities to enhance data collection, reporting processes, and analytical capabilities. Support the implementation of new tools and technologies that improve data quality and accessibility. Contribute to the ongoing development of data models and performance frameworks across the organisation.
- Essential: Previous experience in a data analysis or reporting environment. Strong analytical and problemâsolving skills with the ability to interpret complex datasets. Proficiency in data analysis tools such as Excel, SQL, and Power BI. Excellent attention to detail and organisational skills. Strong communication and interpersonal skills; ability to work collaboratively with multiple departments. Proactive mindset and a commitment to continuous improvement.
- Desirable: Understanding of workforce management systems or HR analytics. Education in data analysis, business management, statistics, or a related field. Familiarity with KPIs such as labour productivity, cost efficiency, and service level adherence.
We believe that our employees are the driving force behind our success and strive to create a positive and supportive work environment. As a member of our team, you will have access to a range of benefits, including:
- Competitive salary
- Onâsite role
- Refer a Friend Scheme perks
- Onâsite free meals
- Inâhouse training opportunities
- Real impact and innovative ideas welcomed
- Genuine career development opportunities, nationally and internationally
- Opportunity to work with and represent one of the most innovative players in the luxury global gourmet entertainment market
DO&CO is an equal opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Workforce Analyst in London employer: DO & CO AG
Contact Detail:
DO & CO AG Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Workforce Analyst in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at DO & CO. A friendly chat can sometimes lead to opportunities that arenât even advertised.
â¨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your analytical prowess and how youâve used data to drive decisions in past roles. This will help you stand out during interviews.
â¨Tip Number 3
Be ready for those tricky questions! Brush up on common interview questions related to data analysis and workforce management. Practising your responses will help you feel more confident when itâs your turn to shine.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Workforce Analyst in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Workforce Analyst role. Highlight your data analysis experience and any relevant tools you've used, like Excel or Power BI, to show us you're the right fit.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analysis and how you can contribute to our team. Be specific about your achievements and how they relate to the job description.
Showcase Your Analytical Skills: In your application, donât just list your skillsâdemonstrate them! Include examples of how you've turned complex data into actionable insights in previous roles. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. Itâs the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at DO & CO AG
â¨Know Your Data Tools
Make sure you brush up on your skills with Excel, SQL, and Power BI before the interview. Be ready to discuss how you've used these tools in past roles to analyse data and generate insights. This will show that you're not just familiar with the tools but can also apply them effectively.
â¨Understand Workforce Analytics
Familiarise yourself with key concepts in workforce analytics, such as labour productivity and cost efficiency. Prepare examples of how you've previously identified trends or optimised staffing levels based on data analysis. This will demonstrate your ability to contribute to the team's goals right from the start.
â¨Communicate Clearly
Practice explaining complex data findings in simple terms. You might be asked to present your insights to both technical and non-technical audiences, so being able to communicate effectively is crucial. Think about how you can make your data storytelling engaging and relatable.
â¨Show Your Proactive Mindset
Be prepared to discuss instances where you've taken the initiative to improve processes or implement new tools. Highlight your commitment to continuous improvement and how you've contributed to a data-driven culture in previous roles. This will resonate well with the company's focus on innovation and efficiency.