At a Glance
- Tasks: Design dashboards, analyse data, and influence business decisions with your insights.
- Company: Join a growing Data team in a dynamic organisation.
- Benefits: Up to £60,000 salary, hybrid working, and clear career progression.
- Other info: Ideal for those seeking ownership and the chance to build from scratch.
- Why this job: Be a key player in shaping data reporting and driving impactful decisions.
- Qualifications: Experience as a Data Analyst with strong SQL and Python skills.
The predicted salary is between 60000 - 60000 £ per year.
Looking for a role where your analysis drives business decisions? Want to join a business where you'll build reporting from the ground up, work with senior stakeholders, and influence how data is used across the organisation? This is an opportunity to become one of the first key hires within a growing Data team, working directly with the Head of Pricing.
You'll help shape the company's reporting capability, build new dashboards, uncover valuable insights and become a trusted partner to teams across the business. This isn't a role where you'll spend your days refreshing the same reports. You'll help build the function.
What you'll be doing as their Data Analyst:
- Design and build dashboards that support business performance.
- Analyse large datasets to identify trends and opportunities.
- Work with stakeholders across pricing, marketing and operations.
- Develop reports that influence commercial decisions.
- Write and optimise SQL queries.
- Use Python to automate analysis and improve reporting.
- Work with Databricks as the business continues to expand its data platform.
- Help improve data quality and develop new analytical capabilities.
Key skills:
- Commercial experience as a Data Analyst.
- Strong SQL skills and experience using Python for analysis or automation.
- Dashboard development experience using Power BI, Tableau or similar.
- Strong analytical and problem-solving skills.
- Someone who enjoys taking ownership and working directly with stakeholders.
- A proactive mindset with the ability to learn new technologies quickly.
- Insurance or financial services experience is desirable.
- Databricks experience is nice to have but not essential.
- Experience working with cloud-based data platforms (preferable Azure).
Salary up to £60,000, Hybrid working (1-2 days onsite per week), Clear career progression as the team grows, Flexible hybrid working with offices in London and the North West, and much more! This is an ideal opportunity for someone who wants more responsibility, more ownership and the chance to build something from the beginning instead of maintaining existing reports. Apply today!
Data Analyst in Slough employer: Maxwell Bond
Join a forward-thinking company as a Data Analyst, where you'll have the unique opportunity to shape the data reporting function from the ground up. With a flexible hybrid working model and offices in both London and the North West, you'll enjoy a supportive work culture that prioritises employee growth and offers clear career progression as the team expands. This role not only allows you to influence key business decisions but also empowers you to take ownership of your projects in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst 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 Maxwell Bond!
✨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 Analyst at Maxwell Bond.
✨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 Maxwell Bond.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Maxwell Bond, 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 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 Maxwell Bond, 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 Maxwell Bond. 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 Maxwell Bond
✨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 Maxwell Bond!
✨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.
