At a Glance
- Tasks: Design and develop impactful dashboards and reports to drive data-driven decisions.
- Company: Join a dynamic team at a leading organisation focused on innovation.
- Benefits: Enjoy 25 days annual leave, hybrid working, and a bonus of up to £2k.
- Other info: Collaborative environment with opportunities for professional growth and fun perks.
- Why this job: Make a real difference by enhancing business intelligence and analytics solutions.
- Qualifications: Bachelor's degree in a relevant field and experience with BI technologies required.
The predicted salary is between 37800 - 46200 £ per year.
Reporting to the Business Intelligence Manager, the Business Intelligence Developer has responsibility for designing, developing, maintaining and enhancing reports and dashboards that support data-driven decision making across the organisation.
The role involves working closely with stakeholders to understand business requirements, translating these into effective solutions and ensuring data is presented accurately, clearly and efficiently.
Duties & Responsibilities
- Build, maintain and enhance dashboards, reports and self-service analytics solutions using Qlik Sense and/or Power BI.
- Work closely with stakeholders across the business to gather requirements, understand reporting needs and translate these into scalable BI solutions.
- Develop and optimise SQL queries, views and data models to support reporting and analytical requirements.
- Identify opportunities to improve reporting processes, data quality and operational efficiency through automation and enhanced analytics.
- Monitor, troubleshoot and resolve issues relating to BI solutions, dashboards and underlying data.
- Ensure reporting solutions are accurate, performant and aligned with business requirements.
- Support the adoption of data-driven decision making by providing insight, training and guidance to business users.
- Collaborate with data scientists, SQL administrators, and other BI developers to ensure data accuracy, consistency, and performance.
- Participate in Agile ceremonies (stand-ups, sprint planning, reviews and retrospectives) and contribute to iterative development cycles.
- Any other duties as may be reasonably required.
- Bachelor's degree in data analytics, business intelligence, computer science or a related field.
- Proven experience as a Business Intelligence Developer using BI technologies (Qlik preferred).
- Experience working with stakeholders to gather and document business requirements.
- Good knowledge of SQL development and queries and experience in data warehouse design and ETL framework.
- Good working knowledge of Microsoft Office packages - Word, Outlook, Excel.
- Understanding of agile methodologies and experience working in an agile team.
- Strong problem-solving and analytical skills.
- Strong attention to detail.
- Ability to organise and prioritise.
- Good communication and decision-making skills.
- Customer focused mindset with a commitment to delivering value.
- Proactive approach with the ability to take the initiative and be innovative.
- Hybrid working - 2/3 days on site at our Leeds Head Office a week
- Annual leave - 25 days plus bank holidays
- An additional day annual leave for your birthday after 1 year service
- Holiday purchase Scheme - buy/sell up to 5 days annual leave after 2 years service
- Bonus - up to £2k per annum
- Free breakfast
- Early Friday finish - 2:45pm
- Fun, supportive working environment
- Cycle to work scheme
- Dress down office
- Pension
- 4 x salary life assurance
- #J-18808-Ljbffr
BI Developer in London employer: Motia
At Motia, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions collaboration and innovation. Located in North Leeds, our Lawnswood office provides a supportive environment where you can thrive, with ample opportunities for personal and professional growth. Enjoy competitive benefits such as a generous annual leave policy, early finishes on Fridays, and a fun atmosphere that makes every day rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land BI Developer in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace BI Developer in London
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!
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Craft a Tailored Cover Letter:For a full-time role at Motia, 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 Motia. 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 Motia
✨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 Motia!
✨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.
