Workforce Management Forecasting Specialist

Job title: Workforce Management Forecasting Specialist

Company: Uber


Job description: The Workforce Management Forecast Specialist will work with the Global Workforce Management Forecasting Team and regional Workforce Management teams to focus on operational excellence across our BPO and internal Centers of Excellence network. This is an opportunity to help build the WFM process from the ground up and dig deep into the fascinating and complex field of Uber support. The Uber Workforce Management organization is a centralized, global team that offers many exciting career opportunities worldwide.Your Impact in Role:

• Create long-range and short-range demand forecasts for Uber OUs in multiple platforms and business verticals based on Global Standardized processes and tools.
• Execute the agreed process to ensure service delivery.
• Perform analysis on historical inflow data to ensure emerging trends are captured.
• Perform root cause analysis to understand forecast deviations.
• Propose adjustments to improve forecast accuracy.
• Document all the historical and business inputs used to create the demand forecast.
• Support regional workforce management program managers in demand forecast-related activities.
• Provide feedback to regional WFM Program Managers on opportunities to optimize forecast accuracy.
• Basic project and stakeholder management

The Experience You’ll Bring:Basic Qualifications

• WFM background – understanding the foundations of supply and demand planning, tracking and troubleshooting.
• Problem solver and self-starter
• Logical thinking and analytical skills
• 2+ years of work experience in Business Analytics, Workforce Planning, Management, or Business Process.
• Exceptional written and verbal communication and organizational skills.
• Collaborator within your team, as well as externally; you are a big thinker and never view problems that arise as microscopic, but rather take a step back to make decisions that are in the best interest of Uber, and our community.
• You are a resourceful go-getter, always willing to take the initiative and address something hands-on, and you persevere when others give up.
• Optimistic leadership: you are passionate about making magic for our Community. You realize the vital role that staffing plays in appropriately cultivating positive experiences with our riders and driver partners, allowing for positive support experiences every time, all the time.
• Experience with Google Sheets/Excel and preferably SQL, and plenty of experience working with data.
• English fluency

Preferred Qualifications

• Prior WFM Experience (Capacity Planning, Scheduling & Real Time).
• Has intermediate data reading and parsing techniques. (Understands lookups, match index, pivot tables etc)
• Strong collaborative approach to problem solving.

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 .Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.

Expected salary:

Location: Hyderabad, Telangana

Job date: Wed, 06 Nov 2024 07:22:38 GMT

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