Senior Data Science & Analytics Manager in Manchester

Senior Data Science & Analytics Manager in Manchester

Manchester Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Booking.com

At a Glance

  • Tasks: Lead a team of data scientists and analysts to drive data-driven decision making.
  • Company: Join Booking.com, a diverse and inclusive employer at the forefront of travel tech.
  • Benefits: Enjoy competitive pay, 25 days holiday, health benefits, and hybrid working options.
  • Other info: Be part of a dynamic environment that champions personal growth and inclusivity.
  • Why this job: Make a real impact in travel and tech while developing your career in data science.
  • Qualifications: Experience managing teams and solving complex business problems with data analytics.

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

This job is with Booking.com, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. This role does not come with relocation assistance; therefore, candidates must be currently based in the UK in order to be considered.

Role Description:

At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.

Trips is looking for a Senior Manager of Analytics & Data Science Insights to lead a team of data scientists and analysts to help continue data-driven decision making in the domain. This role will be responsible for the oversight of the quality of analysis, insights and experimentation for this domain. This role will also sit on the Trips Data & DSnA leadership team and report to the Director of Data.

As a manager of managers, you will develop a broad data science strategy for your teams, across a data product portfolio with high technical and organisational complexity. You are accountable for the craft excellence in your teams' delivery, aligned with company-wide DS&A requirements. You create outsized business impact through craft-based synergies among your various teams. You are a champion of your team members' personal development and career growth.

Key Job Responsibilities and Duties:

  • Translate and communicate the vision of leadership to team members and build the Data Science and Analytics roadmaps for teams in your scope.
  • Manage the managers of a team of data scientists and a team of analysts.
  • Manage stakeholders in both product and technology teams.
  • Facilitate the prioritisation of the workload of the teams and ensure high quality of output.
  • Drive implementation and deployment of complex projects across Trips Data, with a particular focus on BTL.
  • Align with centralised data science, analytics and data quality efforts across Booking.com.
  • Champion and deliver compliance within your remit working closely with Trips Data Governance.
  • Align with data infrastructure teams and analytics leaders across other business units to share knowledge and collaborate.
  • Coordinate metrics alignment within and beyond Trips, including Trips level aggregation and insights.
  • Ensure high quality experiments are being run, and strive for continuous rigor in experimentation.
  • Play an active role in the overall Data Leadership team.

Qualifications & Skills:

  • Proven experience as manager, plus experience managing managers and managing complex teams in a multidimensional environment.
  • Driven and results-oriented personality.
  • Open to feedback and always looking for ways to improve own performance.
  • Exceptional analytical skills, with proven track record of applying analytics and data science skills to solving complex business problems.
  • Think strategically to identify areas where data science and analytics can make a significant impact on the business.
  • Able to understand details while keeping an eye on the bigger picture.
  • Able to spot opportunities to drive business growth from their craft.
  • Analytical and curious mindset.
  • Strong interpersonal skills.
  • Expertise and experience on data analysis.
  • Expertise in data management, data visualization and quality.
  • Strong communication skills to work with senior business leaders.
  • Demonstrated ability to build strong relationships with customer and partner teams.
  • Proven ability to manage multiple competing priorities simultaneously.
  • Demonstrated ability to hire, manage, and develop a team.

Desirable Skills:

  • Lives and breathes data and analytics.
  • Has a proven track record of leading analytical and data science organisations in large businesses.
  • Is a servant leader, an experienced mentor and passionate about people.
  • Has experience measuring, managing and driving behavioural change through the use of data and analytics in order to support stronger decision making.
  • Has a strong working knowledge of end to end data lifecycles and strategy.
  • Works well with Senior Stakeholders to understand what the business is trying to achieve and use data metrics and insights to accelerate, shape and measure.

Benefits & Perks:

Booking.com's total rewards philosophy is not only about compensation but also about benefits. Our rewards are aimed at making it easier for you to experience all that life has to offer - all the messy, beautiful, and joyful bits - on your terms. So you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:

  • A great, brand new office in the heart of Manchester.
  • Free breakfast and lunch.
  • 25 days' paid holiday plus bank holidays (rising to 28 days after 3 years of service).
  • Health & well-being benefits such as mental health support, access to health insurance, etc.
  • Employer contribution pension.
  • Industry-leading parental leave and adoption leave.
  • Great discounts on accommodation, car rentals and other group benefits.
  • From day one of your employment with us, we offer 22 weeks' fully paid leave for all new parents, regardless of gender or the way you become a parent.
  • Carer's leave: 10 days' fully paid leave per year for colleagues who are caring for ill family members.
  • Hybrid Working (UK): We believe in office attendance at least 40% of your time whilst empowering you with the flexibility to plan where to do your best work.

Inclusion at Booking.com:

At Booking.com, the diversity of our people doesn't just create a unique workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech.

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

Senior Data Science & Analytics Manager in Manchester employer: Booking.com

At Booking.com, we pride ourselves on being an inclusive employer that champions diversity and personal growth. Located in the vibrant city of Manchester, our work culture fosters innovation and collaboration, offering competitive benefits such as generous parental leave, health and well-being support, and a commitment to employee development. Join us to make a meaningful impact in the travel industry while enjoying a supportive environment that values your contributions.

Booking.com

Contact Details:

Booking.com Recruitment Team

We think you need these skills to ace Senior Data Science & Analytics Manager in Manchester

Data Science
Analytics
Team Management
Stakeholder Management
Data Analysis
Data Visualization
Data Quality