Mobility Operations Analyst
(Senior) - Global Operator Enablement
Location
Berlin, Germany
Work type
Hybrid
Employment
Full Time
Experience
5-8 years
Compensation
Compensation not disclosed
Posted
5d ago
Summary and responsibilities
Role overview
Summary
As a (Senior) Mobility Operations Analyst, you will analyze fleet, service, and operational KPIs across autonomous mobility deployments to identify performance gaps and drive data-based recommendations. This role involves benchmarking operations, improving KPI frameworks, and leveraging modern data tooling to enhance reliability, efficiency, and product outcomes.
Join us as an (Senior) Mobility Operations Analyst (all genders) in our Global Operator Enablement Services team and help shape the future of autonomous mobility!
MOIA’s Global Operator Enablement Services (GOES) Organization is our delivery backbone, our mission-critical interface to operator customers worldwide. We transform innovative technology into operational success by delivering our turnkey solution that enables safe, scalable, and efficient autonomous mobility services.
As a cross-functional, fast-moving team, we integrate customer launch management, digital platform provisioning, service operations, and customer support to deliver a seamless experience. Acting as the single point of contact for operators, GOES ensures end-to-end excellence.
In short: We bring MOIA’s pioneering products to life — reliably, globally, and ready to scale.
As (Senior) Mobility Operations Analyst (all genders), you will be responsible for analyzing operational and service performance across autonomous mobility deployments. You will identify performance gaps, benchmark operations across markets, and drive data‑based recommendations that improve reliability, efficiency, and product outcomes using your deep analytical capability and understanding of the data architecture behind AV operations.
What you will do
Analyze fleet, service, and operational KPIs across deployments to identify performance gaps and improvement levers.
Benchmark operations across markets to compare maturity, efficiency, reliability, and derive best practices.
Build and continuously improve KPI frameworks to ensure consistent measurement across teams, markets, and customers.
Leverage AI, automation, and modern data tooling to reduce manual analysis and enable scalable, self‑service insights.
Understand and map key data sources (telemetry, operational events, service data, system outputs) and how they connect.
Define the operational data harvesting strategy (access paths, structures, transformations) and work with raw data pools when needed.
Develop lightweight analytical tooling for early operations and shape the long‑term analytics strategy with product teams.
Partner closely with engineering, product, and project teams to ensure analytics accurately reflect system behavior and operational reality.
Define the team structure and the hiring roadmap for the operations analytics function once the operational scope is established.
Communicate insights and recommendations clearly to leadership, operators, and external customers; align methods with global counterparts.
What will help you to fulfill your role
Advanced operational analytics skills with the ability to design KPI frameworks, benchmark performance across markets, and translate complex data into clear, actionable recommendations for senior stakeholders.
A strong understanding of operational performance drivers and how systems, processes, and data interact in complex environments.
Solid understanding of data architectures, data models, and system-level data flows, with hands-on experience working with real-world operational data.
Familiarity with modern data tooling and AI/ML concepts (e.g. automation, feature stores, model monitoring, LLM-adjacent pipelines) to scale and improve analytics.
Confidence in presenting insights in leadership and customer-facing settings and partnering effectively with cross-functional teams.
Comfortable working in ambiguous, fast-evolving environments with changing tools and requirements.
Nice to Have
Experience in autonomous mobility, transportation analytics, or large operational systems.
Experience with time‑series, event‑based, or telemetry data.
Background in data engineering concepts (pipelines, ingestion, schema design).
Our benefits in a nutshell
Competitive salary (including bonus)
Hybrid work setup: Work from home or one of our offices - you and your team decide how often to meet, blending flexibility with collaboration!
Flexible working hours and the possibility of flexible work arrangements depending on your needs (parenting, care work, volunteering, etc.)
Budget and monthly expense allowance for home office setup
Possibility of remote work from outside Germany for up to 6 weeks per year from over 35 countries - learn more in our blog!
Public transport ticket (fully subsidized "Deutschlandticket") for commuting and travelling throughout Germany and discount on MOIA rides
Subsidized fitness club membership or bike leasing
Learning environment with continuous learning days, job rotation, trainings and workshops, coaching, conferences, books, and language classes
Mental health support, 1:1 sessions with external professionals and mental unload workshops
30 vacation days, sabbatical and unpaid leave option
Relocation support with service provider (visa, administration, etc.)
Dog-friendly offices
Updated 5d ago
Candidate fit
Skills and qualifications
Additional skills
Experience
5-8 years
How this role is positioned
Role classification
Job domains
Industries
Employment
Full Time
Contract duration
Permanent
Hiring type
Direct
Global hiring
Location specific
Offer details
Compensation and benefits
Compensation
Compensation not disclosed
Benefits and perks
Location, schedule, and role shape
Work setup
Work conditions
Bandwidth profile
Context on the employer
Company snapshot
Company
MOIA
Team size
Growing team
Location
Berlin, Germany
At MOIA we’re reimagining the future of mobility – safe, autonomous and tailored to the needs of cities and their people. As a tech company with more than 400 employees, we build mobility solutions that truly move cities forward.
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Mobility Operations Analyst
Berlin, Germany • Full Time