At a Glance
- Tasks: Transform and visualise complex data sets into actionable insights and compelling stories.
- Company: Leading software company at the forefront of the industry.
- Benefits: Competitive salary, excellent benefits package, and opportunities for growth.
- Other info: Dynamic remote work environment with a focus on innovation.
- Why this job: Join a rapidly expanding team and make an impact with your data skills.
- Qualifications: 5+ years as a Data Analyst, advanced SQL skills, and proficiency in Looker Studio.
The predicted salary is between 39600 - 48400 £ per year.
Full Time Remote London, UKPosted 1 week ago DOE GBP / Year Data Analyst job in London – DOEHexwired has partnered with a company who are a leading company in the Software sector.
They are looking for a Data Analyst who will be used to transforming and visualising large, complex data sets into actionable insights and compelling visual stories.
Although you will be working in a team you should be able to work under your own steam.
Key
Requirements:5+ years' experience as a Data Analyst or Report Builder, with a strong track record in data visualisation and reporting, ideally within a media organisation.
Advanced SQL skills in Azure SQL and Big Query for data analysis and manipulation; Python knowledge is an advantage.
Advanced proficiency in Looker Studio, with a strong understanding of data visualisation best practices.
Proven ability to create clear, engaging, and visually compelling reports and dashboards.
The salary for this Data Analyst role will be paid competitively depending on experience per annum.
The company are rapidly expanding and are at the forefront of their industry.
They are looking to pay circa competitively dependent on experience along with an excellent benefits package.
If you're interested in this Data Analyst in London, please apply.
For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today.
Tagged as: Data, Python, Software, SQL
Data Analyst in London employer: Hexwired Recruitment
As a Senior FPGA Engineer, you will thrive in a dynamic and innovative environment that values creativity and technical expertise. Our company offers competitive salaries, comprehensive benefits, and a strong commitment to employee development, ensuring you have the resources and opportunities to grow your career. Located in a vibrant tech hub, we foster a collaborative work culture that encourages teamwork and the sharing of ideas, making it an exciting place to contribute to cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in London
✨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 Hexwired Recruitment!
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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 Hexwired Recruitment.
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We think you need these skills to ace Data Analyst in London
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 Hexwired Recruitment, 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 Hexwired Recruitment. 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 Hexwired Recruitment
✨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 Hexwired Recruitment!
✨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.
