At a Glance
- Tasks: Lead analytics for international growth, translating insights into actionable strategies.
- Company: Affirm, a forward-thinking company focused on global expansion.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team in a fast-paced, supportive environment.
- Why this job: Make a real impact on international launches and drive profitability.
- Qualifications: Strong analytical skills and experience in data storytelling.
The predicted salary is between 60000 - 80000 £ per year.
Affirm is expanding its Growth Analytics International team to establish an operational analytics framework for new international launches, starting with Australia and expanding globally. You will own end-to-end analytics, translate insights into actionable recommendations, and partner with Product, Risk, Finance, Commercial, and Operations to drive growth and profitability.
The role emphasizes experimentation, data storytelling, and mentoring junior analysts in a fast-paced, remote-friendly environment.
International Growth Analytics Lead - Remote UK employer: Affirm
At Affirm, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact in the world of finance. As a Remote Analytics Manager, you'll not only lead critical fraud detection initiatives but also benefit from our commitment to professional growth, flexible working arrangements, and a supportive environment that values your contributions. Join us in our mission to create a more honest and friendly credit experience while enjoying the unique advantages of working with a forward-thinking team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land International Growth Analytics Lead - Remote UK
✨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 Affirm!
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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 Affirm.
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We think you need these skills to ace International Growth Analytics Lead - Remote UK
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 Affirm, 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 Affirm. 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 Affirm
✨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 Affirm!
✨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.
