The Measurement Insights & Analysis team is looking for an analytical and strategic problem solver to partner with our sales team with the goal of improving the performance of our advertisers’ campaigns on Uber and driving larger advertising revenue. About The RoleThe Sr. Measurement Operations Analyst will focus on the post-campaign measurement for the UK and EMEA market; this role will facilitate and drive key insights for partners, support sales staff, collaborate with internal partners to optimize our go-to-market strategy, increase overall product adoption and track performance targets.You will be responsible for driving strategic analysis of omni-channel campaigns of some of the largest advertisers in the world. Maximising your business acumen and technical skills (such as SQL), you will derive both tactical and strategic insights and communicate them to senior leaders at Uber and at our advertisers. What The Candidate Will Do

• Data insights and analysis - Manage post campaign reporting and insights for all advertisers across all Uber Advertising sales verticals (Enterprise Restaurants, Strategic Verticals, CPG and Agencies) for brand and performance media in the local country and region
• Advertising strategy - Develop and present client-facing, data-driven analysis with practical recommendations, to improve performance of Uber’s top advertisers’ campaigns
• Measurement operation improvement - Contribute with building solutions to efficiently scale our measurement service to Sales and our advertisers
• Advocacy for local country and regional needs - Establish deep understanding of the local needs and nuances by partnering with local Account Executives, Account Managers and Merchant Operations teams, in order to customize measurement operations for that country / region
• Management of local measurement operation - Set clear objectives and measures to monitor local measurement operation progress and productivity, and hold internal partners accountable for delivering results. Drive business review cadence and develop reporting frameworks to facilitate alignment, learning and improvement, and accountability

Basic Qualifications

• Bachelor's degree or equivalent in math, statistics, physics, chemistry, engineering, economics, computer science, operational research or similar quantitative field
• 3+ years of experience in the following areas:
• Data analytics / data science, measurement and insights, consulting, or strategy
• Advanced skills in data querying (e.g. SQL), data analysis (e.g. MS Excel / Google Sheets / Python) and data visualization (e.g., Looker, Google Data Studio, Tableau)
• Marketing / advertising analytics and measurement; experience in omnichannel marketing, attribution, and ROI measurement, including performance and awareness of online advertising
• Strong organizational skills, with the ability to effectively manage multiple projects simultaneously; project management experience in dealing with a high volume of reporting / analysis requests
• Strong communication skills, with the ability to build relationships with various stakeholders including sales and account management team and to effectively communicate technical work to non-technical audiences
• Detail orientation with a focus on accuracy and efficiency (process standardization) using strong documentation. You lean in and embrace the details to map processes, clean data, and even write / review code

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.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.