At a Glance
- Tasks: Transform vague questions into clear data-driven answers and build impactful dashboards.
- Company: Fully remote company focused on data-driven decision-making and innovation.
- Benefits: Competitive salary, share options, flexible hours, and generous paid time off.
- Other info: Work from anywhere, with a focus on collaboration and minimal meetings.
- Why this job: Make a real impact by analysing data and driving key business decisions.
- Qualifications: 3+ years in analytics, strong SQL skills, and a knack for storytelling with data.
The predicted salary is between 70000 - 100000 £ per year.
You would be the person who turns a vague question into a clear answer, and who notices the thing nobody thought to ask about. In a company this size that is a high-leverage job: the analysis usually reaches the decision directly, without a layer in between.
The work
- Answer product, growth and commercial questions with data
- Build and maintain dashboards people actually use
- Analyse experiments and report the results honestly
- Investigate anomalies in usage or revenue
- Make analysis self-serve where that makes sense
What we are looking for
- Three or more years in analytics with strong SQL and comfort in a BI tool, plus statistical literacy — especially around experiments.
- The ability to tell a clear story from a messy dataset, and curiosity that goes past the question as asked.
Where you work
This one is fully remote. We care where you are only insofar as the law does: you need the right to work in the UK or the US already, because there is no office attached to this job for us to sponsor you into. Beyond that, work from wherever you work best. We overlap a few hours a day and write the rest down. Most decisions live in documents and pull requests rather than meetings, which is partly a philosophy and mostly a consequence of being spread across time zones.
Pay and the rest of it
$70,000–$100,000 a year, reviewed every year against the market for where you live, plus share options — everyone here owns a piece of the company. Flexible hours, a budget for whatever laptop and desk you actually want, an annual learning budget, generous paid time off that we check people take, and paid parental leave for every parent however you become one.
Data Analyst employer: Aviy
As a Senior Product Designer at our fully remote company, you'll thrive in a culture that prioritises simplicity and user-centric design, catering to non-technical users like electricians and photographers. We offer competitive salaries, flexible hours, and generous benefits including an annual learning budget and paid parental leave, ensuring you have the resources and support for both personal and professional growth. Join us to make a meaningful impact while enjoying the freedom to work from wherever you feel most productive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 Aviy!
✨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 Aviy.
✨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 Aviy.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Aviy, 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
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 Aviy, 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 Aviy. 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 Aviy
✨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 Aviy!
✨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.
