Manager, Industry Insights & Data (B2B Travel)

Manager, Industry Insights & Data (B2B Travel)

Full-Time 50000 - 65000 £ / year (est.) Home office (partial)
Visa

At a Glance

  • Tasks: Lead analytical efforts and extract insights in the B2B Travel sector.
  • Company: Join Visa, a leader in the travel industry with a focus on innovation.
  • Benefits: Enjoy flexible working arrangements and opportunities for professional growth.
  • Other info: High-visibility role with collaboration across teams.
  • Why this job: Make an impact by simplifying complex data for senior leadership.
  • Qualifications: Strong analytical skills and experience with data-driven insights required.

The predicted salary is between 50000 - 65000 £ per year.

Visa is seeking a Manager, Industry Insights & Data to lead analytical efforts in the B2B Travel sector. This high-visibility role will involve partnering with data teams to extract insights, develop thought leadership content, and support sales teams with strategic materials.

The ideal candidate will have strong analytical skills, experience with data-driven insights, and the ability to simplify complex information for senior leadership. This hybrid position offers flexibility in working arrangements.

Manager, Industry Insights & Data (B2B Travel) employer: Visa

Visa is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the opportunity to thrive in a hybrid environment. With a strong emphasis on professional development, employees can expect robust growth opportunities while contributing to impactful projects in the B2B Travel sector. The company's commitment to innovation and collaboration ensures that every team member plays a vital role in shaping the future of travel insights.

Visa

Contact Details:

Visa Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Manager, Industry Insights & Data (B2B Travel)

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 Visa!

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 Manager, Industry Insights & Data (B2B Travel) at Visa.

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 Visa.

Apply Directly through Our Website

When you find a suitable opening like Manager, Industry Insights & Data (B2B Travel) at Visa, 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 Manager, Industry Insights & Data (B2B Travel)

Analytical Skills
Data Analysis
Insight Extraction
Thought Leadership Development
Sales Support
Strategic Material Creation
Complex Information Simplification

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 Visa, 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 Visa. 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 Visa

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 Visa!

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.