At a Glance
- Tasks: Transform data into actionable insights and create impactful Power BI dashboards.
- Company: Join The AA, a leading motoring organisation with a rich history and innovative spirit.
- Benefits: Enjoy 25 days annual leave, a pension scheme, and discounts on AA products.
- Other info: Hybrid working model with opportunities for career growth and development.
- Why this job: Be part of a dynamic team driving change through data and technology.
- Qualifications: Strong Power BI skills, SQL knowledge, and a passion for storytelling with data.
The predicted salary is between 60750 - 74250 £ per year.
Location: Basingstoke (hybrid working 3 office days per week)
Additional Benefits: Annual Bonus
Think the AA is just about roadside assistance? Think again. For over a century, we've been evolving and adapting. Today, as the nation's leading motoring organisation, we offer a wide range of products and services to millions of customers. From roadside assistance to home and motor insurance, and the latest driving technologies, we have it all. As we continue to expand, diversify, and modernise, joining us as a BI Developer means you'll play a crucial role in our success and be part of this exciting motoring journey.
This is the job:
- Turn data into insight. Turn insight into change. As a Power BI Developer, you’ll turn complex operational data into clear, actionable insight that helps our Roadside Operations teams make better decisions and deliver meaningful change.
- Working in a highly data literate area of the business, you’ll see your work come to life as your dashboards, analysis and insights are used to improve performance and customer outcomes.
- This is a hands-on technical role where success goes beyond building dashboards. You’ll work closely with stakeholders to understand and challenge requirements, uncover the real business need and bring data to life through compelling storytelling.
- You’ll create scalable, well governed Power BI solutions while helping shape how we use data and self-service analytics across the business.
What will I be doing?
- Design, develop and maintain scalable, high quality Power BI dashboards and semantic models that support strategic and operational decision making.
- Partner with stakeholders to interrogate requirements, understand the business problem and translate complex needs into effective data and BI solutions.
- Turn data into meaningful insight, using clear visualisation and storytelling to articulate findings and enable stakeholders to make informed decisions.
- Develop and optimise reporting solutions, including DAX, Power Query, SQL, reporting pipelines and Power BI performance.
- Work collaboratively with Data Engineering and the wider Data team to ensure data is appropriately structured, accessible and optimised for reporting and self-service analytics.
- Champion effective Power BI practices, including workspace governance, deployment, user experience and stakeholder adoption, while identifying opportunities to continuously improve our BI capability.
What do I need?
- Strong hands-on Power BI expertise, with demonstrable experience developing scalable solutions and strong capability across DAX, Power Query, semantic modelling and performance optimisation.
- Strong stakeholder engagement skills, with the confidence to ask the right questions, challenge and refine requirements and translate business needs into effective technical solutions.
- The ability to communicate and tell stories with data, turning complex analysis into clear, relevant insight for both technical and non-technical audiences.
- Strong SQL capability and a solid understanding of data modelling, data warehousing and BI architecture.
- Experience working with Databricks would be particularly valuable.
- Experience creating robust reporting solutions, including automation, governance and enabling users through self-service analytics.
- A collaborative and curious approach, with the ability to work effectively across Data, Engineering and business teams while proactively identifying opportunities to solve problems and drive change.
Additional information Benefits:
- 25 days annual leave plus bank holidays + holiday buying scheme
- Worksave pension scheme with up to 7% employer contribution
- Free AA breakdown membership from Day 1 plus 50% discount for family and friends
- Discounts on AA products including car and home insurance
- Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
- Company funded life assurance
- Diverse learning and development opportunities to support you to progress in your career
- Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family
We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.
BI Developer in Basingstoke employer: The AA
The AA is an exceptional employer, offering a vibrant work culture in the heart of London where innovation meets tradition. Employees benefit from a competitive salary, annual bonuses, and a range of perks, all while having the opportunity to lead a dynamic legal team and influence key business decisions. With a strong focus on professional development and a commitment to fostering a collaborative environment, the AA empowers its staff to thrive and grow within their careers.
StudySmarter Expert Advice🤫
We think this is how you could land BI Developer in Basingstoke
✨Get Involved in Data Science Meetups
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We think you need these skills to ace BI Developer in Basingstoke
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 The AA, 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 The AA. 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 The AA
✨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 The AA!
✨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.
