Data Analyst jobs at Uber

Key Responsibilities

• Reporting & Dashboards: Build, maintain, and optimize dashboards and reports to track sales and business KPIs; ensure reporting structures can scale across markets and verticals.
• Insights & Storytelling: Derive clear, actionable insights from complex datasets; translate findings into business guidance to influence leadership decision making
• Forecasting & Modeling: Develop and maintain forecasting frameworks, models, and performance tracking to measure incrementality, whitespace, LTV/CAC, and share of wallet.
• Growth Measurement: Partner with Finance and Sales to define what success looks, and how to measure impact over time.
• Strategic Partnership: Work with senior stakeholders to analyze sales performance trends, identify growth opportunities, and guide account planning and book-building decisions.
• Global Alignment: Centralize reporting across regions (US/C, APAC, EMEA) to ensure consistency in forecasting, attainment measurement, and growth reporting.

• 4+ years of experience in Business Analytics, Data Analytics, Sales Operations, or related field
• Advanced SQL expertise (joins, aggregations, window functions, performance tuning).
• Proficiency with BI/visualization tools (Tableau, Looker, Power BI, or Qlik).
• Strong ability to translate ambiguous business needs into structured analytical projects and insights.
• Bachelor’s degree

Preferred Qualifications

• Strong business acumen in sales performance and market share contexts; proven ability to influence strategy through data storytelling.
• Hands-on experience building dashboards that track sales pipeline, attainment, forecasting, and growth metrics.
• Familiarity with advanced analytics (regression, time series, A/B testing) to evaluate performance and guide decisions.
• Experience with cloud platforms and data warehouses (BigQuery, Snowflake, AWS, GCP, Azure) for large-scale data processing.
• Exposure to ML models for forecasting/opportunity sizing and comfort partnering with data science teams to operationalize models.
• High-level stakeholder management skills: comfortable presenting insights to senior executives and shaping strategy discussions.

For New York, NY-based roles: The base salary range for this role is USD$129,000 per year - USD$143,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .

About the role

You will develop automations of varying size and complexity, from medium-scale tasks to large-scale business processes, fully automated end-to-end.

As an Automation Specialist, you will be responsible for building solutions that are resilient, scalable, and adaptable, following best practices and continuously refining them with data-driven improvements.

You will translate business requirements into clear technical tasks, delivering automation solutions iteratively and incrementally, and aligning priorities closely with the Operations Coordinator.

We focus on four core areas:

• Business Processes (design, execution, optimization)
• Automation (process automation, real-time monitoring, refactoring)
• Data Analytics (query, deepdive, self-operating dashboard, data pipeline)
• Data Science (modeling, machine learning, patterns identification, prediction)

What you'll do

• Design, build, and maintain automations to enhance efficiency and scalability
• Streamline workflows, automate entire processes, refactor, build data-pipelines
• Suggest innovative approaches to solve complex business problems, at scale, following the best practices in terms of quality, time management, technical documentation, code review
• Analyze business requirements or suggest improvements, proactively
• Conduct root cause analyses and propose data-driven strategies
• Present your work to Stakeholders and adapt your communication to a variety of audiences, using either technical or business terms

What you'll need

• Good knowledge in Python, with the ability to write code to build self-operating dashboards or automate business action, work with API endpoints and use Pandas Library
• Knowledge in SQL, with the ability to select, clear and transform dataset
• Ability to analyze datasets accurately and storytell
• Knowledge in creating Flows (ex.: uWorc, Lucidchart)
• Analytical and data-driven approach for solving complex problems
• Excellent written and spoken Communication (in English)

• Ability to work on your own initiative independently (proactive), in Group (excellent Teammate) and with Stakeholders

• Motivation to learn all along the way and improve continuously Scripts, with SQL and Python, to automate actions of varying sizes and time-horizons.

* 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 .

What You'll Do

• Identify, assess, implement, monitor and maintain global transfer pricing policies
• Manage outside advisors and collaborate with internal global tax teams to implement global transfer pricing documentation, including Masterfile and local files
• Analyze Uber’s intangible property structure and work with external / internal advisors to develop intangible valuation models to support internal restructuring, M&A and other planning projects
• Provide transfer pricing technical guidance to accounting teams to set up transfer pricing calculation methodologies
• Collaborate with tax reporting teams on the transfer pricing aspects of tax provision and reporting, including ASC 740/FIN48 analysis and documentation, intercompany calculation review and financial forecasts transfer pricing adjustments
• Collaborate with the tax controversy team and external advisors to manage transfer pricing audits by preparing analysis and responses to information requests by tax authorities
• Monitor the global establishment of new entities, structures, and business lines and provide transfer pricing support on new business models
• Stay informed of major transfer pricing development and model the impact of changes on Uber’s transfer pricing structure
• Come up with your own ideas on how existing processes can be constantly improved and drive the implementation of the improvements to ensure scalability of Uber’s transfer pricing processes

Basic Qualifications

• 4+ years of transfer pricing experience in accounting / consulting firms and/or multinational companies
• Bachelor's degree in economics, accounting or similar field

Preferred Qualifications

• Advanced degree preferred
• Excellent communication skills, including the ability to communicate with non-transfer pricing professionals on complex transfer pricing issues
• Ability to develop and sustain relationships internally and cross-functionally
• Experience in a high-growth, international environment
• Ability to coordinate work within diverse and geographically dispersed teams and to deliver through to completion
• Ability to manage multiple projects in a high-growth, fast-paced international environment
• Excellent tax research and organization skills

For San Francisco, CA-based roles: The base salary range for this role is USD$122,000 per year - USD$135,500 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .

About the Role

Global Strategic Analysis provides analytic insights and recommendations to enable leadership decision-making on employee life and safety, and marketplace security risks. We seek to inform leadership of emerging threats and forecast future challenges, as well as provide mitigation insights and suggestions.

The Regional Security Analyst -- APAC Lead will be the primary intelligence personnel responsible for briefings and intelligence analytic products covering the security landscape in Australia, North Asia, Southeast Asia, and other major markets in the region.

Your Impact in Role

• Producing oral and written analytic findings to Global Security stakeholders within the assigned region to support employee life & safety (ELS) and marketplace security decision making.
• Acting as a liaison between the relevant security center to convert raw information into actionable intelligence.
• Collaborate with other GSA members to produce strategic intelligence analysis with regional input and analysis.

What You Will Need

• Bachelor's degree in criminal justice, international affairs, political science, or other related field is preferred.
• Experience in physical security, corporate investigations, military, law enforcement, or similar field.
• Strong analytic written and oral communication skills, including the ability to synthesize complex information into actionable intelligence reports and briefings.
• Fluency English and one or more languages native to the region is preferred.
• Ability to conduct OSINT and intelligence vendor research is preferred.

* 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 .

What you'll do:

1. Build and maintain dashboards and reports to track key business and sales KPIs, ensuring data accuracy and timely delivery.
2. Develop, test, and maintain machine learning models (e.g., regression models) to estimate Full Potential and share of wallet.
3. Partner with cross-functional teams (e.g., Sales, Strategy, Operations) to translate business questions into analytical projects.
4. Automate data pipelines and reporting workflows to improve efficiency and scalability using SQL, Python, and cloud tools.
5. Analyze trends, identify growth opportunities, and present actionable insights to stakeholders to support strategic decision-making.

What you'll need:

1. A minimum of 4-5 years of experience in a similar role (e.g. BI Analyst, BI Engineer, Data Scientist, Data engineer, Data Analyst, Business Intelligence Engineer, etc.)
2. Strong proficiency in SQL and Python: Hands-on experience in data manipulation, KPI tracking, and building scalable data workflows.
3. Experience developing machine learning models: Regression models used for business forecasting, share of wallet estimation, and opportunity sizing.
4. Proven ability to build and maintain dashboards and reports: Support cross-functional stakeholders with clear, actionable insights through Tableau
5. Experience deploying and operationalizing ML models: Including model monitoring, performance tuning, and integration into business workflows (e.g., via Flask, MLflow, or cloud services)
6. Advanced statistical knowledge: with expertise in techniques like multivariate regression, time series analysis, and A/B testing to drive data-backed strategy.
7. Strong business acumen: Ability to translate complex analytical findings into strategic recommendations, especially in sales performance and market share contexts.
8. Cloud platform experience (GCP, AWS, or Azure): Particularly working with data warehouses like BigQuery or Snowflake to scale data processing and model training.

* 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 .

- - - - What the Candidate Will Do ----

1. Provide technical leadership in architecting, implementing, testing, releasing and monitoring data models for intuitive analytics and business insights
2. Build strong relationships with people in the organization, meaningfully collaborating and building trust
3. Actively seek out the engineering and business problems, solve them with little to no guidance.
4. Be a role model on acting with good judgement and responsibility. Engineers across the organization will look to you on how best to plan and execute on projects
5. See the big picture and identify strategically important problems, inefficiencies or opportunities for meaningful improvements. Drive alignment on how to tackle these and deliver high leverage solutions on these at the group and organization level
6. Raise the bar on sustainable engineering by improving best practices, producing best in class of code, documentation, testing, and monitoring rolling out the next generations of our fintech systems
7. Be a humble mentor and trusted advisor for both our talented team members and passionate leaders alike. Deal with a difference in opinions in a mature and fair way, helping teams to commit and move forward.

- - - - Basic Qualifications ----

1. Bachelor's or Master's degree in Computer Science or related field
2. Passion for driving continual improvement initiatives on engineering best practices like coding, testing or monitoring
3. Solid technical leadership abilities, and comfortable working with various stakeholders to ensure adoption/impact
4. Extensive experience designing and managing data pipelines, dimensional data models and data warehouses to structure data for business-relevant analytics
5. Experience working with end to end distributed data systems for logging, storage, ETL, data quality and monitoring
6. 10+ years of hands-on experience using SQL to build and deploy production-quality ETL pipelines
7. 10+ years of hands-on experience using Hadoop, Hive, Vertica or other MPP databases (AWS, Redshift, Terradata etc)
8. Experience developing scripts and tools to enable faster data consumption
9. Proven track record of results as a Staff Engineer level or above at a premier technology company
10. Excellent written and verbal communication skills, including the ability to write detailed technical documents
11. Passionate about helping teams grow by inspiring and mentoring engineers

* 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 .

About the Role

Lead the design, development, and deployment of new features for the large scale cloud data storage platform.

Contribute to strategic Data for AI initiatives.

- - - - Basic Qualifications ----

Proven experience in designing and building large-scale data storage and unified data catalog solutions.

Strong understanding of data platform technologies, including data lakehouse architecture and cloud infrastructure (preferably GCP or OCI).

Demonstrated expertise in data infrastructure components such as data catalog and storage systems.

- - - - Preferred Qualifications ----

1. Extensive experience with technologies like Apache Spark, Flink, Kafka, and Table Formats (Hudi, Iceberg, Delta).
2. Deep knowledge of data catalog/metadata management.
3. Experience developing and implementing S3-compatible APIs and managing large-scale tabular and unstructured data.
4. Familiarity with multi-cloud environments (OCI/GCP) and strategies for resource efficiency, including developing intelligent scheduling and portable data solutions.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .