At a Glance
- Tasks: Transform data into actionable insights and develop business intelligence solutions.
- Company: James Fisher and Sons plc, committed to diversity and inclusion.
- Benefits: Remote work options and a supportive team environment.
- Other info: Collaborate with cross-functional teams in a dynamic remote setting.
- Why this job: Make a real impact by turning data into valuable insights for the organisation.
- Qualifications: Strong analytical skills and experience with Power BI.
The predicted salary is between 40000 - 50000 £ per year.
James Fisher and Sons plc is seeking a skilled Data Scientist / Power BI Analyst to transform organizational data into actionable insights. This role involves developing business intelligence solutions while supporting key enterprise systems.
The ideal candidate will have a strong analytical background and be experienced with Power BI, including data modeling and reporting. You’ll work closely with cross-functional teams to ensure data accuracy and facilitate business needs.
Remote working options available, strong commitment to diversity and inclusion.
Data Scientist & Power BI Analyst: Remote UK Home‑Based employer: James Fisher and Sons plc
James Fisher and Sons plc is an excellent employer, offering a dynamic remote working environment that fosters collaboration and innovation. With a strong commitment to diversity and inclusion, employees are encouraged to grow their skills and advance their careers through continuous learning opportunities. The company values work-life balance and provides the tools necessary for data professionals to thrive in their roles, making it a rewarding place to contribute to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist & Power BI Analyst: Remote UK Home‑Based
✨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 James Fisher and Sons plc!
✨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 Data Scientist & Power BI Analyst: Remote UK Home‑Based at James Fisher and Sons plc.
✨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 James Fisher and Sons plc.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist & Power BI Analyst: Remote UK Home‑Based at James Fisher and Sons plc, 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 Data Scientist & Power BI Analyst: Remote UK Home‑Based
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 James Fisher and Sons plc, 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 James Fisher and Sons plc. 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 James Fisher and Sons plc
✨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 James Fisher and Sons plc!
✨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.
