At a Glance
- Tasks: Develop innovative analytics applications using Power BI and AI technologies.
- Company: Join a forward-thinking company shaping the future of analytics solutions.
- Benefits: Competitive salary up to £75,000, hybrid work, and opportunities for growth.
- Other info: Collaborative environment with a focus on innovation and user experience.
- Why this job: Be at the forefront of technology, creating impactful client-facing products.
- Qualifications: Strong Power BI skills, SQL experience, and exposure to AI technologies.
The predicted salary is between 75000 - 75000 £ per year.
This is a unique opportunity to help shape the next generation of analytics solutions, combining Power BI, application development, and emerging AI technologies to create innovative, client-facing products.
ROLES AND RESPONSIBILITIES:
- Develop and maintain client-facing analytics applications and reporting products
- Design and enhance Power BI dashboards, visualisations, and reporting solutions
- Integrate AI technologies, large language models, and agentic workflows into applications
- Support the migration of traditional reporting outputs into scalable analytics products
- Build executive-level dashboards and deliver actionable business insights
- Collaborate closely with Data Engineering, Data Science, and Architecture teams
- Deliver client demonstrations, presentations, training, and solution walkthroughs
- Create intuitive user experiences that make complex analytics accessible and impactful
YOUR SKILLS AND EXPERIENCE:
- Strong Power BI development skills, including DAX, dashboard creation, and reporting best practice
- Solid SQL capability
- Experience building and developing applications or customer-facing digital solutions
- Exposure to AI technologies and large language model integrations
- Experience with agentic AI workflows and automation
- Knowledge of Model Context Protocols (MCPs)
- Strong stakeholder management and communication skills
- Experience delivering executive-level reporting and analytics solutions
- Ability to communicate technical concepts to both technical and non-technical audiences
Power BI & Application Developer - AI in London employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Power BI & Application Developer - AI in London
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We think you need these skills to ace Power BI & Application Developer - AI 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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How to prepare for a job interview at Harnham - Data & Analytics Recruitment Careers
✨Brush Up on Your Statistics
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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
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✨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.
