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For Companies At a Glance
- Tasks: Analyse performance data and create insightful reports to drive decision-making.
- Company: Join Whitbread, a leading hospitality company with a focus on innovation and collaboration.
- Benefits: Enjoy BUPA healthcare, a 10% matched pension, and discounts on stays and dining.
- Why this job: Be part of a dynamic team that values data-driven insights and fosters professional growth.
- Qualifications: Proven experience in data analysis, strong problem-solving skills, and proficiency in analytical tools.
- Other info: Hybrid working model with a minimum of 3 days in the office.
The predicted salary is between 43200 - 72000 £ per year.
Our Data Science Team helps spark innovation by using advanced techniques to improve how we work and make decisions. We collaborate closely with teams across the business, from technology to transformation, to explore data and uncover valuable insights. As a Senior Data Products Analyst, you'll team up with the Data Science Manager and other leaders, as well as partner with customer-focused teams. Your role will involve analysing performance data, creating easy-to-understand reports, sharing smart recommendations, and helping to design and test new data solutions.
Contract Type: Full-Time and Permanent
Location: Whitbread Court, Dunstable and a hybrid way of working with a minimum of 3 days a week in the office.
Why You’ll Love It Here
- Healthcare: Individual BUPA healthcare
- 10% matched pension
- Discounts: Up to 60% discount on Premier Inn stays and 25% discount on our Restaurant brand
What you’ll be doing:
- Identify opportunities to use data to test hypotheses, deliver insight and drive decision-making that leads to process improvement and adds value.
- Collaborate with Data Science Leads, Analysts, and Product Owners to drive data-driven changes.
- Design and implement systems that integrate predictive models to optimize performance.
What You’ll Need:
- Proven experience in a senior data analyst role.
- Experience analysing large datasets and translating findings into business insights.
- A deep understanding of applied statistical techniques.
- Strong problem-solving and performance improvement mindset.
- Advanced skills in analytical tools like SQL, Power BI, Tableau and DataBricks.
- Understanding of an additional programming language like Python, R, VBA is desirable.
Be part of our Technology Team at Whitbread. Through collaboration, passion and hiring the smartest minds, our Technology team builds products and services that are used by 38,000 of us at Whitbread and millions of guests. Everything from an eCommerce website that handles £2 billion in transactions per year, applications that are scalable across our 1,200 hotel and restaurants, devices that enable our teams and guests to have a seamless experience, all whilst keeping data secure.
Data Science - Senior Data Product Analyst employer: Tabletable
Contact Detail:
Tabletable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science - Senior Data Product Analyst
✨Tip Number 1
Familiarise yourself with the specific analytical tools mentioned in the job description, such as SQL, Power BI, and Tableau. Consider taking online courses or tutorials to sharpen your skills in these areas, as demonstrating proficiency can set you apart during the interview process.
✨Tip Number 2
Prepare to discuss real-world examples of how you've used data to drive decision-making and improve processes in previous roles. Having concrete stories ready will showcase your experience and ability to translate data insights into actionable recommendations.
✨Tip Number 3
Network with current or former employees of Whitbread, especially those in the Data Science team. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during your application and interviews.
✨Tip Number 4
Stay updated on the latest trends and advancements in data science and analytics. Being knowledgeable about emerging technologies and methodologies will not only enhance your discussions during interviews but also demonstrate your commitment to continuous learning in this fast-evolving field.
We think you need these skills to ace Data Science - Senior Data Product Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, particularly with large datasets. Emphasise your familiarity with analytical tools like SQL, Power BI, and Tableau, as well as any programming languages you know, such as Python or R.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data science and how your skills align with the role of Senior Data Product Analyst. Mention specific examples of how you've used data to drive decision-making and improve processes in previous roles.
Showcase Your Problem-Solving Skills: Provide examples in your application that demonstrate your problem-solving abilities. Discuss situations where you've identified opportunities for improvement through data analysis and the impact your recommendations had on the business.
Highlight Collaboration Experience: Since the role involves working closely with various teams, mention any past experiences where you've collaborated with others to achieve a common goal. This could include working with product owners or other analysts to implement data-driven changes.
How to prepare for a job interview at Tabletable
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with large datasets and how you've translated complex data into actionable insights. Use specific examples from your previous roles to demonstrate your analytical prowess.
✨Familiarise Yourself with Tools
Make sure you are well-versed in the analytical tools mentioned in the job description, such as SQL, Power BI, and Tableau. You might be asked to solve a problem or analyse a dataset during the interview, so practice using these tools beforehand.
✨Understand the Business Context
Research Whitbread and its operations to understand how data impacts their decision-making processes. Being able to relate your skills to their business model will show that you are genuinely interested in the role and the company.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you've identified opportunities for process improvement through data analysis, and be ready to explain your thought process and the outcomes.
