Technical Program Manager I, Data & Insights

Technical Program Manager I, Data & Insights

Entry level 30000 - 40000 £ / year (est.) No working from home possible
Traveltechessentialist

At a Glance

  • Tasks: Coordinate data initiatives and manage delivery across engineering and analytics teams.
  • Company: Join Expedia Group, a leader in travel technology and innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for career growth.
  • Other info: Perfect role for early-career professionals looking to thrive in a dynamic environment.
  • Why this job: Kickstart your career in tech while making an impact on data-driven projects.
  • Qualifications: Bachelor's degree in Computer Science or related field; strong organisational skills required.

The predicted salary is between 30000 - 40000 £ per year.

Expedia Group is looking for a Technical Program Manager I to coordinate data initiatives within the B2B Product Insights and Marketing Data team. This role is ideal for someone early in their career, eager to manage delivery across engineering and analytics.

Key responsibilities include:

  • Supporting technical program delivery
  • Managing priorities
  • Fostering clear communication across teams

A Bachelor's degree in Computer Science or a related field is essential, along with strong organizational and communication skills.

Technical Program Manager I, Data & Insights employer: Traveltechessentialist

Expedia Group is an exceptional employer that fosters a dynamic and inclusive work culture, perfect for early-career professionals looking to make an impact in the tech industry. With a strong emphasis on employee growth, you will have access to numerous development opportunities and the chance to collaborate with talented teams in a vibrant location. Join us to be part of a forward-thinking company that values innovation and teamwork, ensuring your contributions are recognised and rewarded.

Traveltechessentialist

Contact Details:

Traveltechessentialist Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Technical Program Manager I, Data & Insights

Embrace Online Competitions

Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Traveltechessentialist when you're aiming for that entry-level role.

Join Data Science Meetups

Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Traveltechessentialist.

Networking Through University Career Services

Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Traveltechessentialist.

Spotlight Your Skills Online

Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Traveltechessentialist’s career page, where your unique skills can shine in their entry-level data science openings!

We think you need these skills to ace Technical Program Manager I, Data & Insights

Technical Program Delivery
Data Initiatives Coordination
Engineering Collaboration
Analytics Management
Organisational Skills
Communication Skills
Priority Management

Some tips for your application 🫡

Show Off Your Data Skills:As you're aiming for an entry-level data science role at Traveltechessentialist, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.

Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.

Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Traveltechessentialist aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.

Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.

How to prepare for a job interview at Traveltechessentialist

Brush Up on Your Statistics

For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.

Get Hands-On with Tools

Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!

Showcase Relevant Projects

As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.

Prepare for Case Studies

Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!