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Program Specialist - Uber Delivery

Uber

São Paulo

Presencial

BRL 50.000 - 90.000

Tempo integral

Ontem
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Resumo da oferta

Join a forward-thinking company as a Program Specialist in the Delivery LatAm Customer Support team, where you'll play a vital role in enhancing customer experience through data-driven insights. This hands-on position is perfect for someone with strong analytical skills, eager to turn data into action and drive smarter decision-making. Collaborate with Program Managers and stakeholders to automate processes, analyze support issues, and visualize performance trends. Embrace the opportunity to grow your business acumen while working in a dynamic environment that values curiosity and collaboration.

Qualificações

  • 1+ years of experience in data analytics across any industry.
  • Proficient in SQL and experienced with large datasets.

Responsabilidades

  • Own the data backbone of the Defect Reduction engine.
  • Build and maintain automated trackers and dashboards.
  • Conduct root cause analysis on support issues.

Conhecimentos

Data Analytics
SQL
Problem Solving
Communication Skills
Detail-oriented

Ferramentas

Python
R

Descrição da oferta de emprego

About the Role

As a Program Specialist on the Delivery LatAm Customer Support team, you’ll play a foundational role in working on reducing customer defects by turning data into action. You will support our most critical programs by building the data structures, tools, and insights needed to investigate issues, monitor performance, and drive smarter decision-making.

This is a highly hands-on, technical role, ideal for someone with strong analytical capabilities who is eager to understand the business and grow into a cross-functional problem-solver. You’ll work closely with Program Managers and Analysts, gradually increasing your exposure to stakeholders and developing your ability to influence decisions with data.

What you'll do:

  1. Own the data backbone of the Defect Reduction engine: scrapping, structuring, validating, and visualizing large volumes of customer support data
  2. Build and maintain automated trackers, dashboards, and alert systems to flag performance trends
  3. Conduct root cause analysis on top support issues and translate findings into actionable insights
  4. Collaborate with Program Managers to generate hypotheses and support the evaluation of pilots and experiments
  5. Begin to engage with Ops and CommOps stakeholders to surface findings and support data-driven decisions
  6. Continuously seek opportunities to automate manual processes and improve team productivity

Basic Qualifications

  1. +1 years of proven experience in data analytics working for any industry
  2. Proficiency in SQL and experience working with large datasets
  3. Advanced/Fluent English skills.
  4. Analytical mindset and a passion for solving problems through data
  5. Detail-oriented with strong documentation and communication habits
  6. Eagerness to grow business acumen and stakeholder engagement skills
  7. Ability to thrive in a fast-paced, ambiguous environment

Preferred Qualifications

  1. Experience in support, marketplace operations, or customer experience
  2. Proficiency in Python/R or other programming languages

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 accommodations@uber.com.

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