At a Glance
- Tasks: Transform client reporting from manual to automated using PowerBI and enhance with machine learning.
- Company: Fast-growing PE-backed scale-up in the heart of London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: 4 days in the office, perfect for those who thrive in a collaborative environment.
- Why this job: Join a dynamic team and make a real impact on client reporting solutions.
- Qualifications: Experience in PowerBI, Fabric, DBT, and financial reporting required.
The predicted salary is between 45000 - 55000 £ per year.
Our client is a PE-backed, scale-up business, growing organically and via acquisition. They are currently hiring for a Data Analyst to help improve external client reporting - moving them from manual/Excel based reporting to an automated solution using PowerBI. This role is "behind the scenes" but could evolve to become client facing in due course. Once the initial project is completed, further work could include enhancements via machine learning and AI.
Working as part of a small but growing team, they are looking for someone who:
- Has experience of automating and streamlining external client reporting
- Has strong skills in PowerBI and ideally other visualisation/dashboarding tools
- Experience of Fabric and DBT (Data Build Tool)
- Has experience of designing & delivering dashboards
- Has experience of financial reporting - costs, profit etc.
- Is able to work in a fast-paced environment
- Is self-motivated and enjoys autonomy
- Has an understanding of data security concerns
- Property industry experience and/or a "Big4" background (or similar) are both highly advantageous.
The company is based in central London and has a policy of 4 days per week in the office.
Data Analyst - PE-backed scale-up business (PowerBI, Fabric and DBT required) in Slough employer: Ethos BeathChapman
Join a dynamic and rapidly growing PE-backed scale-up in the heart of London, where innovation meets opportunity. As a Data Analyst, you'll be part of a collaborative team dedicated to transforming client reporting through automation and advanced analytics, with ample opportunities for professional growth and development. Enjoy a vibrant work culture that values autonomy and creativity, all while benefiting from a flexible 4-day office week that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - PE-backed scale-up business (PowerBI, Fabric and DBT required) in Slough
✨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 Ethos BeathChapman!
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✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst - PE-backed scale-up business (PowerBI, Fabric and DBT required) at Ethos BeathChapman, 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 Analyst - PE-backed scale-up business (PowerBI, Fabric and DBT required) in Slough
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 Ethos BeathChapman, 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 Ethos BeathChapman. 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 Ethos BeathChapman
✨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 Ethos BeathChapman!
✨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.
