AI-Driven BI Data Analyst β€” Dashboards & Insights

AI-Driven BI Data Analyst β€” Dashboards & Insights

Full-Time 31500 - 38500 Β£ / year (est.) No working from home possible
Motorway

At a Glance

  • Tasks: Own analytical projects, build dashboards, and use data storytelling to drive business outcomes.
  • Company: Join Motorway's innovative Analytics team in a collaborative environment.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic role with exposure to multiple departments and career advancement opportunities.
  • Why this job: Leverage AI tools and make a real impact on business decisions with your insights.
  • Qualifications: Experience in SQL and Python, with strong analytical and collaboration skills.

The predicted salary is between 31500 - 38500 Β£ per year.

Motorway is seeking a BI Data Analyst to join our Analytics team.

You will own analytical projects end-to-end, collaborating with Marketing, Finance, Product, Commercial and Operations.

Build and maintain dashboards and insights, surface trends, and use data storytelling to drive measurable business outcomes.

You will leverage AI tools to accelerate delivery while ensuring accuracy.

You will write production-grade SQL and Python, peer-review AI outputs, and help ingest new data sources as

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AI-Driven BI Data Analyst β€” Dashboards & Insights employer: Motorway

Motorway is an exceptional employer located in the vibrant city of Brighton, offering a dynamic work culture that fosters collaboration and personal growth. With a competitive starting salary and commission structure, employees are encouraged to excel in their roles while enjoying numerous opportunities for advancement. The supportive environment and focus on building strong relationships make Motorway a rewarding place to work for those passionate about car sales.

Motorway

Contact Details:

Motorway Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land AI-Driven BI Data Analyst β€” Dashboards & Insights

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Motorway!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI-Driven BI Data Analyst β€” Dashboards & Insights at Motorway.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Motorway.

✨Apply Directly through Our Website

When you find a suitable opening like AI-Driven BI Data Analyst β€” Dashboards & Insights at Motorway, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AI-Driven BI Data Analyst β€” Dashboards & Insights

Analytical Skills
Data Storytelling
Dashboard Development
SQL
Python
AI Tools Proficiency
Collaboration Skills

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Motorway, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Motorway. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Motorway

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Motorway!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.