Real Time Workforce 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

This is a 9 month fixed term contract based in Hong Kong. Your job will exactly mirror the role and responsibilities of other Full Time Strategic Finance Associates in the team and will include full P&L ownership of at least one of the 4 North Asian markets - Hong Kong, Taiwan, South Korea or Japan.

Note: You must be based in Hong Kong or able to relocate and work in Hong Kong without visa sponsorship in order to be considered to this position.

In this position, you will be driving strategic analysis and insights to influence finance and business leaders around product portfolio, competitive dynamics, marketplace investments, engagement and growth levers for both demand and supply. In addition, you will help the team in setting and delivering targets, through forecasting, reporting and analysis efforts, but also building the right financial discipline across multiple initiatives. Besides FP&A, you will also have the opportunity to participate in key regional strategic projects and establish ROI processes for capital allocation across the region.

What the Candidate Will Do

1. Financial planning and analysis : work closely with the broader finance organization and with regional business leaders to develop financial forecasts and operational goals, apply business judgement and financial insights to help with strategy and decision making.

2. Financial modeling : build models from scratch, improve existing models, and capture complex business reality/dynamics and interactions into comprehensive models and leverage those to assess trade-offs, propose solutions and drive better decision making.

3. Think strategically and execute : the models we build aid in decision making and strategy - we operationalize our insights and support daily execution.

4. Monthly close: report and analyze variances between actuals, forecast, and plan - use insights to iterate on forecasts and create/discuss potential action plans with cross-functional stakeholders.

5. Process improvement : help improve our planning processes and ensure finance best practices spread through the organization. Work with Accounting, Tax, FinOps and other finance verticals to provide input on management reporting needs and better understand our actuals.

6. Innovate : we will push the boundaries beyond traditional forecasting. Be creative, adaptive, and eager to learn new technical skill sets.

7. Special projects : new initiatives always come up, you might have the chance to contribute on product launches, M&A and JV deals, business partnerships, cross-border strategy, etc.

Basic Qualifications

1. BS/BA in Finance, Accounting, Economics are highly preferred
2. 3+ years of proven experience in FP&A, Corporate Finance, Investment Banking, Private Equity, Venture Capital or Management Consulting with experience of Financial modeling
3. Strong analytical skills
4. Elite Excel/Google Sheet skills: Best practices are second-nature, your models are efficient, scalable and intuitive
5. Excellent communication and people skills: numbers are key, but a business is built with people
6. Self-starter: You will take initiative, be passionate and dedicated, and drive toward goals
7. Attention to detail and ability to execute in a fast-paced environment
8. Standout colleague - this is a highly collaborative and encouraging team environment

Preferred Qualifications

1. AI, Gen AI
2. Working knowledge of US GAAP
3. Systems: working knowledge of enterprise-level financial planning systems
4. SQL skills: the ability to self-serve, investigate and get the data we require will make you much more effective in this role
5. CFA or CPA

* 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 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 .

About the Role

Our team consists of a diverse group of individuals with backgrounds across consulting, tax, accounting, and analytics. We often have to employ unique approaches to solve mission critical challenges. You will have strong project management skills as you’ll drive cross-border projects (APAC, LATAM, EMEA, US&C) and develop best practice in processes on an international level. You’ll be a strong team player who is able to work with people across the organization.

If you are technically sharp, have a thirst to learn more, follow your gut, question the status quo and ensure work is correct, then you will fit right in.

What You'll Do

1. Prepare and file sales and use tax returns, property tax returns, B&O and gross receipts returns, ensuring accuracy and timely payments.
2. Analyze and validate compliance data, flagging issues and collaborating with teams to resolve them efficiently.
3. Responsible for preparing and processing business license registrations and renewals, managing licenses within the designated software, and conducting research to ensure ongoing compliance with diverse jurisdictional requirements and adapting to evolving business needs.
4. Maintain and develop relationships with internal and external stakeholders regarding compliance-related matters.
5. Liaise with state and local authorities to resolve issues related to compliance and reporting.
6. Ensure adherence to indirect tax processes and update procedures as needed to reflect evolving business requirements.
7. Identify and implement opportunities for improving sales and use tax compliance and reporting processes.
8. Prepare and review month-end reconciliations and journal entries, maintaining comprehensive audit documentation.
9. Leverage technology to streamline and automate tax calculations, ensuring compliance and accuracy.
10. Participate in special projects and ad-hoc tasks as required by the indirect tax team.

What You'll Need

1. Accounting Degree (CA, ACCA, CPA, CIMA, MBA, EA preferred)
2. 5+ years of relevant work experience
3. Experience in Big 4 (Indirect Tax domain) or fast-paced industry (IDT teams preferred)

Preferred Qualifications

1. Degree in finance, accounting, tax, or related field.
2. Core experience with US Sales & Use Tax regulations.
3. Working knowledge of Vertex and Anybill platforms.
4. Robust knowledge of MS Excel and/or logic-based tools (advanced Excel models, Tableau/Alteryx).
5. Experience with complex revenue systems involving extensive upstream data and diverse global products, discounts, and adjustments.
6. Ability to analyze large data volumes to identify key insights.
7. Strong English written and verbal communication skills.
8. Self-driven with a critical and positive 'can-do' attitude.
9. Comfortable collaborating with various subject matter experts.
10. Ability to thrive in a fast-paced, deadline-driven environment with minimal supervision.

* 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:

• Own end-to-end delivery of complex analytics initiatives supporting risk analysis and mitigation planning in all areas of risk to our operations, people, and facilities (not only direct security threats, but also the general risk landscape including geopolitical and economic developments, organized crime, natural disasters, etc.).
• Collaborate closely with the Global Strategic Analysis team to derive insights by integrating Uber’s internal data with open-source intelligence (OSINT), other geopolitical indicators, and policy developments.
• Lead development and maintenance of statistical and machine learning models that quantify security-related risks and impacts (physical, operational, regulatory, reputational, financial).
• Conduct predictive modeling, causal inference, time series forecasting, impact evaluation, and other risk modeling as needed, tailored to security and geopolitical contexts.
• Proactively identify and execute on opportunities to improve data quality; to streamline collection and reporting systems; and to improve the reliability and reduce the maintenance burdens of data pipelines, machine learning models, and other data program architecture.
• Support cross-functional ECS initiatives on demand, acting as data subject matter expert and trusted technical advisor.
• Coordinate and manage projects spanning teams and stakeholders globally; ensure timelines and deliverables are tracked, communicated to stakeholders, and successfully delivered.
• Mentor junior analysts and promote data science best practices across DIA and other teams.
• Use industry expertise to see around corners and build analytic products that meet Uber’s future as well as current needs.
• Above all, this role is expected to drive and develop novel solutions that address ECS’ toughest data and analytic challenges through deep expertise in statistical methodology, matched with the practical domain knowledge and managerial experience to deliver results.

Basic Qualifications:

• Master’s in Data Science, Statistics, Political Science, Economics, International Affairs, Criminology, or other directly relevant field.
• 8+ years of professional experience in quantitative research and/or data analytics, ideally blending both public-sector research and private-sector business exposure.
• Experience using SQL for data extraction and transformation.
• Experience using Python (preferred) or R for data manipulation, statistical modeling, and automation.
• Proficiency in advanced statistical modeling and machine learning techniques (including regression, clustering, classification, and casual inference) with the ability to select methods and optimize model specification independently.
• Skilled in data visualization using tools and libraries such as Tableau, Plotly, ggplot, or Leaflet

Preferred Qualifications

• Ph.D. in Data Science, Statistics, Political Science, Economics, International Affairs, Criminology, or other relevant field, for a total of 10 years of professional experience in applied statistical analysis including Ph.D. research experience.
• Deep subject matter understanding of security risks, geopolitical risk, or intelligence analysis (e.g., transnational crime, terrorism, civil unrest and interstate conflict, regulatory policy risk).
• Demonstrated history of initiative, creativity, and continuous improvement; demonstrated breadth of experience in proactively identifying and solving problems through data.
• Demonstrated success in working closely with a range of partners and stakeholders on complex analytical products.
• Experience working in a fast-paced environment, balancing multiple concurrent projects while being responsive to multiple stakeholders and adapting to new priorities with agility.
• Excellent written and verbal communication skills to communicate findings to diverse audiences, including translating complex concepts and issues into actionable insights for senior management and non-technical audiences.
• Familiarity with economic or policy impact analysis (e.g., quasi-experimental evaluation methods, cost-benefit frameworks, regulatory assessments).
• Familiarity with AI and advanced machine learning techniques.
• Experience with data management, including data quality assurance, permissions management, ETL pipeline automation and optimization, and version control via Git.
• Experience developing and operationalizing risk scoring or prioritization frameworks.
• Experience handling sensitive topics, systems, and information with appropriate discretion.
• Experience supporting decision-makers in high-stakes environments with ambiguous outcomes.
• Publications or demonstrable thought leadership in security-related data science, intelligence, or international risk domains is a strong plus.