At a Glance
- Tasks: Transform data into actionable insights and create impactful reports for our hospitality business.
- Company: A growing hospitality business with a portfolio of premium pubs, restaurants, and hotels.
- Benefits: Flexible home-based work, competitive salary, and the option for self-employed or PAYE engagement.
- Other info: Ideal for independent consultants or those seeking part-time flexibility.
- Why this job: Make a real impact on business performance while working closely with senior leadership.
- Qualifications: Strong experience in Power BI, advanced Excel skills, and analytical problem-solving abilities.
The predicted salary is between 30000 - 40000 £ per year.
Location: Home Based with occasional travel to meetings in Hampshire and the Home Counties
Contract Type: Self-Employed Consultant or PAYE Employee
Time Commitment: Approximately 1 day per week
About Us: We are a growing hospitality business operating a portfolio of premium pubs, restaurants and hotels across Southern England. We are looking for an experienced and commercially minded Data Analyst to help us unlock the power of our data and provide meaningful insights that support operational and financial decision-making across the business. This is an ideal opportunity for either an independent consultant seeking a flexible ongoing engagement or an experienced analyst looking for a highly flexible part‑time PAYE role.
The Role: Working closely with our senior leadership team, you will be responsible for extracting, analysing and presenting data from multiple business systems to produce accurate, insightful and actionable reports. You will help us better understand our sales performance, labour costs, guest behaviour, hotel performance and operational trends through the creation of dashboards, automated reporting and analytical tools.
Key Responsibilities:
- Produce regular and ad‑hoc reports from our key business systems, including: Zonal EPOS, Zonal Hotel Solutions (ZHS), S4 Labour Scheduling and Payroll.
- Design and maintain Power BI dashboards for operational and financial reporting.
- Develop automated reporting processes using Microsoft Power Automate.
- Create and maintain advanced Excel reporting models and pivot tables.
- Analyse sales, labour, payroll, accommodation and guest data to identify trends, opportunities and areas for improvement.
- Work closely with senior stakeholders to understand reporting requirements and provide actionable recommendations.
- Improve reporting efficiency, accuracy and accessibility across the business.
- Support strategic projects through detailed analysis and insight generation.
About You: You will be an experienced analyst who is comfortable working independently and translating complex data into meaningful business insight.
Essential Skills & Experience:
- Strong experience using Power BI.
- Advanced Microsoft Excel skills, including pivot tables, Power Query and complex formulae.
- Experience using Microsoft Power Automate.
- Proven ability to build dashboards and management reporting packs.
- Strong analytical and problem‑solving skills.
- Excellent attention to detail.
- Ability to communicate findings clearly to non‑technical stakeholders.
- Experience working with payroll, labour, operational or financial data.
Desirable Experience:
- Previous experience within hospitality, leisure, hotels or retail.
- Experience using Zonal systems.
- Experience using Zonal Hotel Solutions (ZHS).
- Experience using S4 labour scheduling and payroll systems.
- Understanding of hospitality KPIs, labour management and commercial performance reporting.
What We Offer:
- Flexible home‑based working.
- Choice of engagement as either a self‑employed consultant or PAYE employee.
- Approximately one day per week, with flexibility around when the work is completed.
- Opportunity to work directly with the executive leadership team.
- The chance to make a tangible impact on business performance through data‑driven insight.
- Occasional travel to meetings in Hampshire and the Home Counties.
If you enjoy transforming data into meaningful commercial insight and have the technical expertise to build robust reporting solutions, we’d love to hear from you.
Data Analyst (Part-Time – 1 Day Per Week) in Havant employer: Upham Inns Support Centre (Hampshire)
Join our dynamic hospitality business, where we value flexibility and innovation in a supportive work culture. As a Data Analyst, you'll enjoy the freedom of home-based working with the opportunity to engage directly with our executive leadership team, making a real impact on our operations. We offer competitive compensation and the chance for professional growth while working within a portfolio of premium pubs, restaurants, and hotels across Southern England.
Contact Details:
Upham Inns Support Centre (Hampshire) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Part-Time – 1 Day Per Week) in Havant
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Upham Inns Support Centre (Hampshire).
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Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
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We think you need these skills to ace Data Analyst (Part-Time – 1 Day Per Week) in Havant
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Upham Inns Support Centre (Hampshire) aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Upham Inns Support Centre (Hampshire)
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Upham Inns Support Centre (Hampshire).
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It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Upham Inns Support Centre (Hampshire).
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Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Upham Inns Support Centre (Hampshire), so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Upham Inns Support Centre (Hampshire) will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
