At a Glance
- Tasks: Analyse customer behaviour and derive actionable insights for a high-growth digital gambling business.
- Company: Harnham, a scale-up with a focus on data-driven decisions.
- Benefits: Fully remote role with competitive salary and opportunities for professional growth.
- Other info: Collaborate with diverse stakeholders and enhance your analytical expertise.
- Why this job: Shape impactful data strategies in a fast-paced, innovative environment.
- Qualifications: Strong SQL skills and experience in commercial analytics required.
The predicted salary is between 45000 - 55000 £ per year.
Harnham is looking for a Senior Data Analyst to shape data-driven decisions within a high-growth digital gambling business. The role is fully remote in the UK and involves working closely with various stakeholders to derive actionable insights.
You will analyze customer behavior, support CRM initiatives, and communicate findings effectively.
Candidates should possess strong SQL skills and experience in commercial analytics, preferably from fast-paced environments.
Senior Data Analyst | Fully Remote UK, Scale-Up Impact in Exeter employer: Harnham
Harnham is an exceptional employer that champions a dynamic and inclusive work culture, offering fully remote opportunities across the UK. As a scale-up in the digital gambling sector, we provide our employees with ample growth opportunities, competitive benefits, and the chance to make a significant impact through data-driven decision-making. Join us to be part of a forward-thinking team where your insights will shape the future of our business.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst | Fully Remote UK, Scale-Up Impact in Exeter
✨Get Involved in Data Science Meetups
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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 Harnham.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst | Fully Remote UK, Scale-Up Impact at Harnham, 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 Senior Data Analyst | Fully Remote UK, Scale-Up Impact in Exeter
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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.