Data Analyst

TL;DR

Data Analyst (Israel): Own capacity planning, forecasting accuracy, and cost optimisation for support operations in a large on-demand market with an accent on translating demand forecasts into staffing needs and balancing customer experience with efficiency. Focus on scenario modelling, performance reporting, and driving operating model improvements through data and automation.

Location: Israel, hybrid work environment

Company

Technology company building delivery platform for food, groceries, and local shops across 30 countries, joined forces with DoorDash.

What you will do

• Build and optimise capacity plans across multiple sites, translating demand forecasts into staffing and hiring needs.
• Partner with Product, Operations, Finance, and Recruitment to support SLAs and business changes.
• Create performance reporting on forecast accuracy, service levels, occupancy, and costs.
• Run scenario modelling and retrospective analyses to improve forecasting and efficiency.
• Co-own support budget planning and cost tracking with variance insights.
• Drive operating model improvements via data, automation, and SQL analysis.

Requirements

• Experience in forecasting, capacity planning, and scenario modelling in Workforce Management.
• Strong analytical skills to turn data into actionable insights.
• Advanced Excel and SQL query skills (Python is a plus).
• Comfortable in ambiguous environments, driving improvements independently.
• Ability to identify automation and efficiency opportunities.
• Strong stakeholder management and communication in global, multi-site setups.
• Ownership mindset balancing customer experience, agent wellbeing, and business goals.

Nice to have

• Python skills.

Culture & Benefits

• High-impact role in scaling support operations with global stakeholders.
• Clear career progression in fast-paced, data-driven hybrid environment.
• Small teams with high ownership and focus on product stack areas.
• Customer-centric approach with quick service in customer's language.
• Commitment to diversity, inclusion, and empowering teams.

Hiring process

• Initial screening conversation.
• Interviews on analytical skills, Workforce Management experience, and stakeholder collaboration.
• Practical or case-based discussion.
• Transparent communication throughout the process.