At a Glance
- Tasks: Guide clients in data transformation and lead architecture discussions using Microsoft Fabric.
- Company: Littlefish Group, a forward-thinking company focused on data solutions.
- Benefits: Flexible hybrid work model, competitive salary, and opportunities for mentorship.
- Other info: Join a dynamic team with a focus on collaboration and professional growth.
- Why this job: Make a real impact by delivering innovative data solutions across the UK and Ireland.
- Qualifications: Experience in data consulting and proficiency with Microsoft Fabric and Power BI.
The predicted salary is between 56250 - 68750 £ per year.
Littlefish Group is seeking an experienced Senior Data Consultant to partner with clients across the UK and Ireland, delivering data solutions using Microsoft Fabric.
You will guide data transformation journeys, lead architecture discussions, and mentor a team of consultants and developers.
You will work in a flexible hybrid model, collaborating with customers to design and implement scalable data platforms, with emphasis on One Lake, Dataflows, Notebooks, and Power BI.
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Senior Data Consultant — Microsoft Fabric & Data Strategy employer: Little Fish (UK) Ltd.
At Littlefish Group, we pride ourselves on fostering a vibrant and inclusive work culture in our Nottingham office, where creativity and passion thrive. As an Office Services & Facilities Lead, you'll enjoy a supportive environment that prioritises employee growth through access to extensive training resources and a commitment to continuous improvement. With competitive benefits like a healthcare cash plan, generous annual leave, and a casual dress policy, we ensure our team feels valued and empowered to make a real difference.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Consultant — Microsoft Fabric & Data Strategy
✨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 Little Fish (UK) Ltd.!
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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 Little Fish (UK) Ltd..
✨Apply Directly through Our Website
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We think you need these skills to ace Senior Data Consultant — Microsoft Fabric & Data Strategy
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 Little Fish (UK) Ltd., 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 Little Fish (UK) Ltd.. 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 Little Fish (UK) Ltd.
✨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 Little Fish (UK) Ltd.!
✨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.
