Data Product Manager: BI & Data Lake Lead

Data Product Manager: BI & Data Lake Lead

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Parkopedia

At a Glance

  • Tasks: Transform data into actionable insights to enhance urban mobility.
  • Company: Parkopedia, a leader in urban mobility solutions.
  • Benefits: Collaborative environment, dynamic team, and opportunities for growth.
  • Other info: Knowledge of AI/ML is a plus; based in vibrant London.
  • Why this job: Make a real difference in urban transport with innovative SaaS solutions.
  • Qualifications: 5+ years in product management, strong communication skills, English proficiency.

The predicted salary is between 60000 - 80000 £ per year.

Parkopedia recherche un Data Product Manager pour transformer les données en insights exploitables afin d'améliorer la mobilité urbaine. Avec 5+ années d'expérience en gestion de produits, vous serez chargé de créer des offres SaaS de Business Intelligence pour les autorités de transport public.

Excellentes compétences en communication et maîtrise de l'anglais requises, tandis que des connaissances en IA/ML constituent un atout. Basé à Londres, ce rôle offre un environnement collaboratif et dynamique.

Data Product Manager: BI & Data Lake Lead employer: Parkopedia

Parkopedia is an exceptional employer that fosters a collaborative and dynamic work environment in the heart of London. With a strong focus on employee growth, we offer numerous opportunities for professional development and innovation in the field of urban mobility. Our commitment to transforming data into actionable insights not only enhances your career but also contributes to meaningful advancements in public transport solutions.

Parkopedia

Contact Details:

Parkopedia Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Product Manager: BI & Data Lake Lead

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio or case studies that highlight your experience with data products and BI solutions. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by practising common questions related to data product management. Think about how you can demonstrate your problem-solving skills and your understanding of urban mobility challenges.

Tip Number 4

Don’t forget to apply through our website! We love seeing applications from motivated candidates who are eager to make an impact in the world of data and urban mobility.

We think you need these skills to ace Data Product Manager: BI & Data Lake Lead

Data Analysis
Business Intelligence
SaaS Product Management
Communication Skills
AI/ML Knowledge
Urban Mobility Insights
Collaboration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Product Manager role. Highlight your experience in product management and any relevant projects that showcase your ability to transform data into actionable insights.

Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've improved mobility or worked with SaaS products, and don’t forget to mention your communication skills!

Showcase Your Skills:We want to see your skills in action! If you have experience with AI/ML, make sure to include that in your application. It’s a great way to stand out and show us what you can bring to the table.

Apply Through Our Website:For the best chance of success, apply directly through our website. This ensures your application gets to the right people and shows us you’re serious about joining our team!

How to prepare for a job interview at Parkopedia

Know Your Data Inside Out

As a Data Product Manager, you’ll need to demonstrate your understanding of data analytics and how it can drive insights. Brush up on key concepts in Business Intelligence and be ready to discuss how you've used data to solve problems in the past.

Showcase Your Communication Skills

Since excellent communication is a must for this role, practice articulating your thoughts clearly. Prepare to explain complex data concepts in simple terms, as you may need to present ideas to non-technical stakeholders.

Familiarise Yourself with AI/ML Trends

Even if AI/ML knowledge is just a bonus, showing that you're aware of current trends can set you apart. Read up on how these technologies are being integrated into data products and be prepared to discuss their potential impact on urban mobility.

Prepare Questions About the Company

Demonstrate your interest in Parkopedia by preparing thoughtful questions about their data strategy and future projects. This shows that you’re not just looking for any job, but that you’re genuinely interested in contributing to their mission of improving urban mobility.