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- Tasks: Support data initiatives and deliver insights across the company.
- Company: Join a dynamic team focused on business intelligence and data-driven decisions.
- Benefits: Gain hands-on experience, develop skills, and enjoy a collaborative work environment.
- Other info: Fast-paced environment with opportunities for growth and learning.
- Why this job: Make an impact by transforming data into actionable insights for various departments.
- Qualifications: Proficient in Power BI, Python, SQL, and Excel; eager to learn.
The predicted salary is between 28800 - 48000 £ per year.
SUMMARY OF PURPOSE:
Reporting to the Business Intelligence Analyst, this junior role will support data and business intelligence initiatives across the company. The Junior BI Analyst will focus on ensuring data quality, supporting analytics and data science projects, and assisting in the integration of business systems and databases. The role will work closely with various departments, especially Finance & Strategy, to provide data-driven insights and support business reporting needs.
KEY ACCOUNTABILITIES:
- Work closely with the Business Intelligence Analyst in delivering business intelligence projects across the business.
- Collaborate with different business units to understand data & reporting requirements and assist in gathering and integrating data from different business systems and databases.
- Conduct exploratory analysis on business data to identify trends, patterns, and anomalies and perform reconciliation tasks
- Design and develop business reports and dashboards based on requirements collected from stakeholders.
- Perform ad hoc analyses, including trend analysis, comparison analysis, predictive analysis, and statistical significance testing.
- Support the maintenance of data quality and integrity across business systems.
- Take ownership of assigned tasks and projects, working independently to deliver outputs.
KEY SKILLS:
Essential
- Proficient in Power BI and DAX Modelling.
- Proficient in Python, SQL, and Excel.
- Foundational knowledge of predictive modelling and machine learning methods.
- Understanding of statistics, including both descriptive and inferential techniques.
- Strong organisational and analytical skills, with attention to detail.
- Ability to communicate findings clearly and concisely to stakeholders.
- Organisational skills and ability to manage multiple tasks and deadlines.
- Willingness to learn and adapt in a fast-paced environment.
Desirable (or willingness to learn)
- Experience or knowledge of MS Azure.
- Familiarity with different data types such as JSON, XML, and TSV.
- Experience with data analytics infrastructure and database modelling.
- Exposure to budgeting, forecasting, or financial reporting.
Junior Business Intelligence Analyst employer: Uber Boat by Thames Clippers
Contact Detail:
Uber Boat by Thames Clippers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Business Intelligence Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in business intelligence. Attend meetups or webinars, and don’t be shy to ask for informational interviews. You never know who might have a lead on a job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards, Python scripts, or any data analysis projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with SQL, DAX Modelling, and any predictive modelling techniques. Practise explaining complex data concepts in simple terms – it’s all about clear communication!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight how your skills align with the Junior BI Analyst role, and let your passion shine through!
We think you need these skills to ace Junior Business Intelligence Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Business Intelligence Analyst role. Highlight your skills in Power BI, Python, and SQL, and showcase any relevant projects or experiences that demonstrate your analytical abilities.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your skills align with our needs. Don’t forget to mention your willingness to learn and adapt in a fast-paced environment.
Showcase Your Analytical Skills: In your application, provide examples of how you've used data to drive insights or solve problems. Whether it's through coursework, internships, or personal projects, we want to see your analytical mindset in action!
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Uber Boat by Thames Clippers
✨Know Your Tools
Make sure you brush up on your Power BI, DAX Modelling, Python, SQL, and Excel skills. Be ready to discuss how you've used these tools in past projects or coursework. If you can share specific examples of how you've tackled data challenges, that’ll really impress them!
✨Understand the Business
Familiarise yourself with the company’s business model and how they use data to drive decisions. Think about how your role as a Junior BI Analyst will support different departments, especially Finance & Strategy. Showing that you understand their needs will set you apart.
✨Prepare for Data Analysis Questions
Expect questions that test your analytical thinking. They might ask you to explain how you would conduct exploratory analysis or perform reconciliation tasks. Practise explaining your thought process clearly and concisely, as communication is key in this role.
✨Show Your Willingness to Learn
This role requires adaptability, so be prepared to discuss how you’ve learned new skills in the past. Whether it’s picking up new programming languages or understanding different data types, showing enthusiasm for continuous learning will resonate well with the interviewers.