Regional hiringpublishedExternal employer
MMOIA
MOIAAutonomous Mobility Tech

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

operational analytics • 1+ yrs
KPI frameworks • 1+ yrs
data architecture • 1+ yrs
data models • 1+ yrs
system-level data flows • 1+ yrs
AI/ML concepts • 1+ yrs
automation • 1+ yrs
feature stores • 1+ yrs
model monitoring • 1+ yrs
LLM-adjacent pipelines • 1+ yrs
presenting insights • 1+ yrs
partnering with cross-functional teams • 1+ yrs
working in ambiguous environments • 1+ yrs
time-series data • 1+ yrs
event-based data • 1+ yrs
telemetry data • 1+ yrs
data engineering concepts • 1+ yrs
pipelines • 1+ yrs
ingestion • 1+ yrs
schema design • 1+ yrs
modern data tooling • 1+ yrs
benchmarking • 1+ yrs
analytical capability • 1+ yrs
communication • 1+ yrs

Experience

5-8 years

How this role is positioned

Role classification

Job domains

Operations

Industries

Automotive

Employment

Full Time

Contract duration

Permanent

Hiring type

Direct

Global hiring

Location specific

Offer details

Compensation and benefits

Compensation

Compensation not disclosed

VisibilityShared on listing
CurrencyUSD
PeriodYearly

Benefits and perks

Employee Referral Bonus
Flexible Working Hours
Mental Health Support

Location, schedule, and role shape

Work setup

Work conditions

Primary locationBerlin, Germany
Work typeHybrid
Global hiringNo

Bandwidth profile

peopleMedium7/10
physicalLow2/10
cognitiveHigh9/10
executionHigh8/10
creativityMedium7/10
uncertaintyHigh8/10
communicationHigh8/10

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, GermanyFull Time