At a Glance
- Tasks: Lead data-driven strategies and create impactful dashboards for our Travel Commercial team.
- Company: Join Hopper Inc., a leading player in the travel tech industry.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation in the travel sector.
- Why this job: Make a real difference by leveraging data to enhance travel experiences.
- Qualifications: Experience in analytics and a passion for technology and travel.
The predicted salary is between 63000 - 77000 £ per year.
Hopper Inc. is seeking a Strategy & Analytics Manager to own the analytical and operational infrastructure powering our Travel Commercial organisation.
This hands-on role sits at the intersection of data, process, and technology, partnering with Product and Engineering and reporting to senior commercial leadership.
You will design data models, dashboards, and reporting frameworks across the full commercial funnel, using AI tools to accelerate insight generation and drive tangible improvements.
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Remote Strategy & Analytics Manager, Travel Tech employer: Hopper Inc.
Hopper Inc. is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about travel tech. With a strong emphasis on employee growth, you will have access to cutting-edge AI tools and collaborative opportunities with Product and Engineering teams, all while enjoying the flexibility of a remote role. Join us to make a meaningful impact in the travel industry and advance your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Strategy & Analytics Manager, Travel Tech
✨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 Hopper Inc.!
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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 Hopper Inc..
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We think you need these skills to ace Remote Strategy & Analytics Manager, Travel Tech
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 Hopper Inc., 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 Hopper Inc.. 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 Hopper Inc.
✨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 Hopper Inc.!
✨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.
