Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and maintain business intelligence dashboards using Python, SQL, and Tableau.
- Company: Join a leading international organisation in the Travel and Logistics sector.
- Benefits: Competitive salary, vibrant Birmingham location, and impactful projects.
- Why this job: Make a real difference with data-driven strategies and innovative analytics.
- Qualifications: Proficiency in Python, SQL, and experience with Tableau or Power BI.
- Other info: Collaborative team environment with opportunities for career growth.
The predicted salary is between 40000 - 60000 £ per year.
Opportunity to enhance analytics capability at UK and European level. Newly created role in a leading Travel / Logistics organisation.
About Our Client
This position is with a large International organisation operating within the Travel / Logistics sector. They are recognised for their expertise in providing innovative solutions and delivering exceptional results for their customers.
Job Description
- Develop and maintain business intelligence dashboards and reporting tools.
- Leverage Python, SQL and Tableau to create enhanced forecasting and demand planning analytics.
- Deploy predictive and advanced modelling techniques to support Pricing, Marketing and Operational departments in their strategic decision making.
- Analyse complex data sets to identify trends and insights.
- Provide accurate forecasts to support decision-making processes.
- Collaborate with cross-functional teams to gather data requirements.
- Ensure data quality and integrity across all analytics platforms.
- Present findings and recommendations to stakeholders effectively.
- Monitor key performance indicators and suggest improvements.
- Support the implementation of data-driven strategies within the organisation.
The Successful Applicant
A successful Business Intelligence / Forecasting Analyst should have:
- Proficiency in data analysis and forecasting tools - Python and SQL is essential.
- Strong knowledge of business intelligence platforms e.g. Tableau or Power BI.
- Advanced data / statistical modelling skills.
- Experience in the Travel, Logistics or Supply Chain industry or a related field.
- Excellent problem-solving and analytical skills.
- Ability to communicate complex data in a clear and concise manner.
- Strong attention to detail and commitment to data accuracy.
- Collaborative mindset to work effectively within a team environment.
What's on Offer
- Competitive salary of £50,000 - £70,000 per annum.
- Opportunity to work in the vibrant location of Birmingham.
- Engaging role within the Travel / Logistics sector.
- Chance to contribute to impactful analytics and forecasting projects.
If you are an experienced Business Intelligence / Forecasting Analyst looking for an exciting opportunity in Birmingham, we encourage you to apply and take the next step in your career.
Business Intelligence Analyst employer: Page Personnel
Contact Detail:
Page Personnel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the Travel and Logistics sector on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Python, SQL, and Tableau. Include dashboards or reports you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your data analysis techniques. Be ready to discuss how you've used predictive modelling in past roles. Practice explaining complex data insights in simple terms – it’s all about clear communication!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Business Intelligence Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Tableau. We want to see how you've used these tools in real-world scenarios, especially in the Travel or Logistics sectors.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our innovative solutions. Keep it concise but impactful!
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Share specific examples of how you've analysed complex data sets and provided actionable insights in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in Birmingham!
How to prepare for a job interview at Page Personnel
✨Know Your Tools Inside Out
Make sure you’re well-versed in Python, SQL, and Tableau. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to demonstrate your proficiency will show that you're the right fit for the role.
✨Prepare for Data Analysis Questions
Expect questions that test your analytical thinking and problem-solving abilities. Practice explaining how you would approach analysing complex data sets and what techniques you would use to identify trends. This will help you articulate your thought process clearly during the interview.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you gathered data requirements or worked with different departments to achieve a common goal.
✨Communicate Clearly and Concisely
You’ll need to present findings to stakeholders, so practice summarising complex data in a straightforward manner. Use clear examples from your previous work to illustrate how you’ve communicated insights effectively. This will demonstrate your ability to make data accessible to non-technical audiences.
