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- Tasks: Support data initiatives and deliver insights through analysis and reporting.
- Company: Join a dynamic company focused on data-driven decision-making.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a collaborative team that values innovation and learning.
- Qualifications: Proficiency in Power BI, Python, SQL, and Excel is essential.
- Other info: Ideal for those eager to learn in a fast-paced environment.
The predicted salary is between 28800 - 48000 £ per year.
Job Description
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
Familiarise yourself with Power BI and DAX Modelling, as these are essential skills for the role. Consider taking online courses or tutorials to enhance your proficiency, which will help you stand out during the interview process.
✨Tip Number 2
Brush up on your Python and SQL skills, as they are crucial for data manipulation and analysis. Engage in practical projects or challenges that allow you to apply these languages in real-world scenarios, showcasing your ability to handle data effectively.
✨Tip Number 3
Develop a solid understanding of statistics, particularly descriptive and inferential techniques. Being able to discuss statistical concepts confidently will demonstrate your analytical capabilities and your readiness to tackle data-driven insights.
✨Tip Number 4
Network with professionals in the business intelligence field, especially those who work with data analytics. Attend industry meetups or webinars to gain insights and potentially get referrals, which can significantly increase your chances of landing the job.
We think you need these skills to ace Junior Business Intelligence Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the job description. Emphasise your proficiency in Power BI, Python, SQL, and Excel, as well as any experience with predictive modelling or machine learning.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your analytical skills and ability to work with data, and explain how you can contribute to the team.
Showcase Relevant Projects: If you have completed any projects related to business intelligence, data analysis, or reporting, include them in your application. Briefly describe the project, your role, and the tools you used, such as Power BI or SQL.
Highlight Soft Skills: In addition to technical skills, emphasise your organisational and communication abilities. Provide examples of how you've managed multiple tasks or communicated findings effectively to stakeholders in previous roles or projects.
How to prepare for a job interview at Uber Boat by Thames Clippers
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Power BI, DAX Modelling, Python, SQL, and Excel during the interview. Be prepared to discuss specific projects or experiences where you utilised these tools effectively.
✨Demonstrate Analytical Thinking
Prepare to discuss how you've conducted exploratory analysis in the past. Share examples of how you've identified trends, patterns, or anomalies in data, and explain the impact of your findings on decision-making.
✨Communicate Clearly
Since you'll be working closely with various departments, practice explaining complex data insights in a clear and concise manner. Use simple language and avoid jargon to ensure that stakeholders can easily understand your findings.
✨Emphasise Your Willingness to Learn
Express your eagerness to learn and adapt, especially in a fast-paced environment. Mention any relevant courses or self-study you've undertaken, particularly in areas like predictive modelling or machine learning, to show your commitment to professional growth.