16 beste Stellen als student delivery in berlin, be – aktuell auf Personalsuche

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Analyst R&D Strategie & Transformation (all genders)
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Als Consultant (m/w/d) R&D Strategy and Transformation unterstützt du führende Unternehmen aus Automotive, Maschinenbau, High Tech oder MedTech dabei, ihre…

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(Senior) Mobility Operations Analyst (all genders) - Global Operator Enablement

MOIA GmbH -
Berlin

Jetzt bewerben

Details zur Stelle

vor 2 Tagen

Leistungen

Firmenfahrrad-Leasing
Homeoffice-Möglichkeit
Sabbatical
Kostenfreies oder vergünstigtes Deutschland-Ticket

Qualifikationen

Master
Analytik

Vollständige Stellenbeschreibung

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.

Want to learn more about our turnkey solution for autonomous mobility? Have a closer look at our product video here.

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, and 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).

We welcome applicants from diverse backgrounds — even if you don't meet every requirement. If you're excited about the role and MOIA's mission, we'd love to hear from you!

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

For student & internship positions, we have an adjusted set of benefits. You can find them here.

Be who you are!

We are a member of Charta der Vielfalt and are dedicated to actively fostering a workplace that celebrates and promotes diversity in various aspects such as age, gender identity, race, sexual orientation, physical or cognitive ability, and ethnicity. At MOIA, we embrace a culture where people are accepted, respected, valued, appreciated, and included.

In our commitment to promoting diversity and inclusivity, we regularly provide unconscious bias training to all our employees. Furthermore, we continuously strive to enhance our hiring process by ensuring a diverse hiring panel.

How we work

At MOIA, our teams are typically distributed across locations and collaborate in a hybrid setup. We work together both remotely and on site, choosing the mode of collaboration that fits the context, the work at hand, and each team's rhythm.

Spending time together in our offices is an important part of how we stay connected, build trust, and solve complex problems. At the same time, we value flexibility and give teams and individuals autonomy to shape their ways of working, with everyone having the freedom to organise their routines in a way that aligns with their work and their team's needs.

If you'd like to learn more about how we work, visit our blog for insights into our culture and hiring process, or follow us on Instagram for a look behind the scenes at MOIA.

Who we are

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.

We launched our ridepooling service in Hamburg in 2019 and have been part of the city's public transport system since 2023. Since launch, we have transported over 12 million passengers. Currently, MOIA is evolving from a mobility provider to a tech provider offering a scalable and safe turnkey solution for autonomous driving.

With office locations in Berlin and Hamburg, our diverse and international team comprising more than 60 nationalities works together toward that shared mission.

MOIA is more than a technology provider – we are a partner to cities and public transport operators committed to creating more livable spaces and delivering mobility solutions that are reliable, safe and comfortable.

Your application to MOIA

We value authenticity and personal insights in your application responses. While AI tools can be useful, we encourage you to answer the following questions based on your own experiences and understanding. This helps us keep a human touch and better evaluate your unique perspective and match for the role.

To reinforce an unbiased screening process, we kindly ask you not to include your picture, age, address, or any other details unrelated to your qualifications and suitability for the role. Additionally, we anonymize applications during the initial review phase by removing personally identifiable information. This ensures that our evaluation focuses solely on your skills, experience, and potential – supporting a fair and inclusive hiring experience for all candidates.

Jetzt bewerben

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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!

What you will do

What will help you to fulfill your role

Our benefits in a nutshell

Be who you are!

How we work

Who we are

Your application to MOIA

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