At a Glance
- Tasks: Design and develop engaging Power BI reports and dashboards to drive insights.
- Company: Join a forward-thinking organisation committed to inclusivity and innovation.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Be part of a supportive team that values diverse backgrounds and perspectives.
- Why this job: Make a real impact by transforming data into actionable insights with cutting-edge tools.
- Qualifications: Experience in Power BI development and a passion for data visualisation.
The predicted salary is between 40000 - 50000 £ per year.
Responsibilities
- Design, develop, and maintain Power BI reports, dashboards, and paginated reports.
- Build and optimise Power BI semantic models, including star schemas, relationships, measures, and row‑level security.
- Create and maintain dataflows and shared datasets to support enterprise reporting.
Data Modelling & Architecture
- Apply dimensional modelling principles to support analytical workloads.
- Work with data engineers to design and document technical solutions.
- Ensure interoperability with the wider data platform.
Operational Support & Estate Management
- Maintain the day‑to‑day running of the Force’s Power BI estate, including workspace management, dataset refresh monitoring, gateway oversight, and performance optimisation.
- Ensure all developments adhere to Force processes, security standards, and testing requirements.
Stakeholder Engagement & Requirements Gathering
- Engage with business stakeholders to gather, document, and validate business requirements.
- Produce Business Requirements Documents (BRDs).
- Support the Force Performance Management Team in data visualisation and insight delivery.
DevOps & Delivery Processes
- Create, update, and manage DevOps work items (user stories, tasks, bugs).
- Contribute to version control, deployment pipelines, and release processes.
Research & Continuous Improvement
- Keep abreast of technological advances in Power BI, Microsoft Fabric, and related BI technologies.
- Evaluate and recommend tools, standards, and practices to support BI capability development.
Documentation
- Produce and maintain business requirement documents, technical design documents, implementation notes, and user guides.
We are committed to fostering an inclusive, equitable, and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.
Power BI Developer in Lincoln employer: Onyx-Conseil
As a Power BI Developer with us, you will thrive in a dynamic and inclusive work environment that prioritises employee growth and development. Our commitment to continuous improvement and innovation ensures that you will have access to the latest technologies and training opportunities, all while contributing to meaningful projects that impact our community. Located in a vibrant area, we offer a supportive culture that values collaboration and diversity, making it an excellent place for professionals seeking a rewarding career.
StudySmarter Expert Advice🤫
We think this is how you could land Power BI Developer in Lincoln
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Power BI Developer in Lincoln
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 Onyx-Conseil, 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 Onyx-Conseil. 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 Onyx-Conseil
✨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 Onyx-Conseil!
✨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.