At a Glance
- Tasks: Support the Growth Acceleration team with analytics, experiment tracking, and insights.
- Company: Sherpany, a dynamic SaaS company in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Exciting role with cross-functional collaboration and career development potential.
- Why this job: Join a collaborative team and make an impact on user acquisition and conversion.
- Qualifications: Strong analytical skills and proactive communication with trial users.
The predicted salary is between 63000 - 77000 £ per year.
Sherpany in London is seeking a Junior Growth Analyst to support the Growth Acceleration team with operational analytics, experiment tracking, and qualitative insights. You will work cross-functionally with Marketing, Product, Design and Engineering to monitor the free trial journey, build simple reports, document experiments, and help the team understand what drives acquisition, activation and conversion.
You should be highly structured and proactive, comfortable contacting trial users.
Junior Growth Analyst for SaaS Funnel & Experiments employer: Booster
At Datasite, we pride ourselves on being an exceptional employer that champions innovation and growth in the fast-paced realms of AI and fintech. Our London office fosters a collaborative and inclusive work culture, offering employees the chance to shape impactful narratives while working closely with senior leaders. With a commitment to professional development and a hybrid work model, we provide a dynamic environment where your contributions are valued and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Growth Analyst for SaaS Funnel & Experiments
✨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 Booster!
✨Show Off Your Projects
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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 Booster.
✨Apply Directly through Our Website
When you find a suitable opening like Junior Growth Analyst for SaaS Funnel & Experiments at Booster, 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 Junior Growth Analyst for SaaS Funnel & Experiments
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 Booster, 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 Booster. 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 Booster
✨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 Booster!
✨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.
