Manager - Analytics & Modelling, Central Operations

　　About the Role

　　We are looking for someone who gets excited enabling others to solve tough problems by applying scientific methods and bringing value from our extensive data resources.

　　This role will sit within the 'Business Analytics' area of the newly organized BizOps (Business Operations) team, one of the key functions of EMEA Mobility Central Operations. This team is where we locate the strongest and deepest quantitative talent and capabilities within Central Operations, and works hand-in-hand with teams from across central and local operations to drive business impact.

　　As well as performing analytics and modeling work, you will be responsible for enabling teams to deliver impact through specific projects, by steering & influencing the portfolio governance (prioritization, coordination, allocation, communication, stakehоlder management, etc.) of work for the team (and Krakow CoE resources).

　　You will also be responsible for developing a science- and data-driven decision-taking vision for EMEA Mobility, and driving cultural and capability change across the organization, to enable everyone to 'level-up' their impact through the application of scientific methods and data to their decision making.

　　What the Candidate Will Do

　　Reporting to the Head of Business Operations (BizOps), this person will be responsible for:

　　Leadership; creating a vision for the impact that Analytics & Modelling capabilities can have in Uber's future-state operating modelTeam Enablement; Inspiring and developing team members to have a huge impact and to tie what they are doing back to OKRs, the 'why' and PnL impactStakeholder Management; build strong relationships with key folks in Central Operations, Local Ops & global product/analytics teams, to partner with them in your missionOpportunity identification, qualification & prioritization; Orchestrating the focus of quantitative resources to maximize the impact for Uber Mobility EMEABusiness intelligence, including building and maintaining critical dashboards; and developing data-driven insights related to business performance and customer experienceAdvanced modeling, including Building or validating existing business or financial models, and building or validating machine learning modelsAdvanced statistical analysis, including: setting up or validating experiments, but also conducting or validating statistical analysis using business or customer data sets

　　Basic Qualifications

　　Experience working in Analytics, Statistics and / or advanced modelingPostgraduate degree / research experience in STEM subjectsStakeholder mgmt. experience, ideally in a business context (e.g. consulting)Multidisciplinary experience; you've applied your quantitative skills in multiple industries and/or fieldsDemonstrated ability to build strong trusted relationships with senior business leaders and drive towards common goalsTrack record of strong performance and excellent stakeholder / management feedbackCollaborative, engaging, open and transparent behaviors and working style, to inspire your colleagues and stakeholders, and bring them on a journey to your visionThe ability to communicate effectively and to coordinate multiple stakeholders in ambiguous circumstances

　　Bonus points

　　Entrepreneurial experience & mentality; have enabled others in your fieldHave taught your subjects in a variety of circumstances (e.g. lectures, tutorials)Experience working with business economics, PnLs, & business strategy

　　We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

　　Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

　　*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [email protected].