data analyst

ALMETRA

<div><p>We&rsquo;re looking for a Manufacturing Data Analyst who combines solid analytical and coding skills with a strong understanding of industrial operations. You&rsquo;ll work directly with customers and internal teams to translate manufacturing data into actionable insights &mdash; improving both customer outcomes and our AI analytics platform.</p><p><b>
What you&rsquo;ll do</b></p><ul><li><p>
Collaborate with manufacturing customers to analyse production data and uncover performance drivers</p></li><li><p>
Work closely with AI and backend engineers to define, test and refine data pipelines, features and quality metrics</p></li><li><p>
Build clear, reliable dashboards and reports that highlight process efficiency, bottlenecks and improvement areas</p></li><li><p>
Identify anomalies or optimisation opportunities that feed back into our product&rsquo;s analytics layer</p></li><li><p>
Write clean, well-structured code for data processing and analysis &mdash; maintainable, reviewable, and production-aware</p></li><li><p>
Act as the bridge between Customer Success, Product and Engineering &mdash; turning operational insights into measurable impact</p></li></ul><p><b>
You are</b></p><ul><li><p>
3&ndash;5 years in data analytics or process optimisation, ideally in <b>manufacturing, automotive, pharma or other high-volume industries</b></p></li><li><p>
Strong in SQL and Python (or similar) &mdash; able to write clean, efficient, reusable code</p></li><li><p>
Experienced working with production data, sensors, or process control systems</p></li><li><p>
Analytical mindset with understanding of data modelling, feature extraction and algorithmic thinking</p></li><li><p>
Comfortable communicating findings to both technical and operational stakeholders</p></li><li><p>
Curious, structured and pragmatic &mdash; you solve real problems, not just analyse them</p></li></ul><p><b>
Nice to have</b></p><ul><li><p>
Background in process engineering, lean manufacturing, or industrial analytics</p></li><li><p>
Familiarity with manufacturing software (MES, ERP, SCADA, etc.)</p></li><li><p>
Experience integrating analytics into customer-facing workflows</p></li></ul><p><b>
What we offer</b></p><p>
Employee Share Options Program for all permanent employees*</p><p>
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.</p><p>
Be on the forefront in defining what artificial intelligence means in manufacturing</p><p>
Gain hands-on experience in working in an AI-first software company
</p><p>Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company</p><p>
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact</p><p>
Network with professionals and leaders in the field, opening doors to potential future career opportunities</p><p>
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours</p><p>
Ethics: We are committed to developing ethical AI software<br>
<br>
<b>Don't meet all the requirements?</b></p><p><i>
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.</i></p><ul><li><br>
<i>Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</i></li></ul><p>
Compensation Range: &euro;50K - &euro;65K</p></div>

Manufacturing Data Analyst

FUNKE Mediengruppe

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FUNKE gehört zu den führenden Arbeitgebern der Medienbranche. Von Online-Portalen über Zeitungen und Zeitschriften bis hin zu Radio und Podcast – die Vielfalt unserer Titel, Marken und Genres ist einzigartig in der deutschen Medienlandschaft. Genauso vielfältig sind auch die Talente unserer rund 1.700 Journalist*innen und 2.800 Medienmacher*innen, die jeden Tag in ganz Deutschland mit Leidenschaft und Innovationskraft die Zukunft der Medien mitgestalten. #wirsindFUNKE
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<b>Standort:</b><br>
Berlin, DE Hamburg, DE
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Als Analytics Engineer (m/w/d) trägst Du maßgeblich zur Gestaltung unserer datengetriebenen Projekte bei und spielst eine Schlüsselrolle in unserem Team. Zur Verstärkung unseres Teams in Berlin oder Hamburg suchen wir Dich als
<br><br>
Analytics Engineer (m/w/d)
<br>DEINE AUFGABEN
<br>Als Mitglied des Data Subscription Teams bist Du verantwortlich für alles rund um das Thema Analytics Engineering: Transformation von Rohdaten zur Nutzung im Reporting und der Marketing Automation für unser Zeitungsgeschäft digital und traditionell
<br>Du arbeitest eng mit den Data Analysts/Scientists/Engineers Deines Teams zusammen und bringst Deine Expertise und kreativen Lösungen ein, um datenbasierte Optimierungsstrategien zu entwickeln
<br>Nach Deiner Einarbeitung wirst Du verantwortlich für zwei Topics und trägst damit entscheidend zu unserem Geschäftserfolg bei
<br>Du entwickelst und implementierst eigenständig Data Pipelines in der Google Cloud Platform und nutzt dbt, SQL, Github und andere Tools
<br>Als Expert*in im Datawarehouse kümmerst Du Dich auch um die Datenpflege, die Struktur der Datenmodelle sowie um die Kostenoptimierungen
<br>DEIN PROFIL
<br>Du hast eine Leidenschaft für Daten und Interesse am Vertriebsgeschäft regionaler Tageszeitungen
<br>Du besitzt Erfahrung als Analytics Engineer/Data Analyst sowie fortgeschrittene Kenntnisse in SQL und bringst idealerweise Kenntnisse in Python oder weiteren Programmiersprachen mit
<br>Deine Begeisterung für technische Innovationen und Deine ausgeprägte Fähigkeit, Dich zügig und effektiv in neue technologische Systeme und Tools einzuarbeiten, sind wesentliche Stärken, die Du in unser Team einbringst
<br>Auf Dich kann man sich verlassen, Du übernimmst gerne Verantwortung und Ownership ist für Dich nicht nur eine Floskel
<br>Du bringst neben fließendem Deutsch auch Offenheit, Kommunikationsstärke und Teamfähigkeit mit
<br>Eine sorgfältige Arbeitsweise und hohe Eigenmotivation runden Dein Profil ab
<br>DEINE BENEFITS
<br><b>Innovation trifft Tradition:</b> Du gestaltest die digitale Transformation unserer Mediengruppe mit
<br><b>Entwickle Dich mit uns:</b> Wir ermöglichen Dir die Teilnahme an individuellen Coachings, Workshops oder (Online)-Trainings im Rahmen unserer FUNKE Akademie
<br><b>Flexibel arbeiten:</b> Wir leben ein hybrides Arbeitsmodell, weil uns Deine Work-Life-Balance wichtig ist
<br><b>Teamwork:</b> Dich erwarten ein dynamisches Team, eine offene Feedbackkultur, kurze Kommunikationswege und ein herzliches Miteinander
<br><b>Corporate Benefits:</b> Wir bieten Dir ein Benefit-Portal mit attraktiven Rabatten und Abos
<br><b>Halte Dich fit und gesund:</b> Profitiere von unseren Kooperationen mit verschiedensten Fitnessstudios und lasse Dich für Deine mentale und körperliche Gesundheit individuell beraten
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Haben wir Dein Interesse geweckt? Dann gestalte mit uns die Zukunft und sende uns Deine Bewerbung an Steffen Flach.
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Wir bei FUNKE schätzen Vielfalt und begrüßen daher alle Bewerbungen – unabhängig von Geschlecht / geschlechtlicher Identität, Nationalität, ethnischer oder sozialer Herkunft, Religion / Weltanschauung, Behinderung, Alter sowie sexueller Orientierung.

Analytics Engineer (m/w/d)

Distribusion Technologies GmbH

<div><p><b>Distribusion</b> is the world&rsquo;s leading ground transportation marketplace and gives travelers seamless access to ground transportation online, from search to ticket purchase. We have built a cutting-edge B2B technology platform that connects bus, rail, and ferry operators in 70+ countries with the biggest online retailers, including Google Maps and Booking.com.</p><p>
We are shaping the future of travel and building the largest global network of transport providers and retailers. Having grown 10x in the past year, we are one of the fastest-growing startups in travel. Backed by two leading VCs (TQ Ventures, Creandum, Northzone, and Lightrock), and now, following our recent $80 m Series C, we are ready to push beyond.</p><p></p><p><br>
We are looking for an <b>eCommerce Growth Analyst </b>to join our <b>eCommerce Solutions</b> <b>team</b> to lead data analytics and real-time tracking, ensuring the quality and stability of our rapidly growing white-label solution.</p><p></p><p><b><br>
What you will do:</b></p><ul><li><b>
Performance Optimisation &amp; Analytics: </b>lead site performance optimisation through advanced analytics tools and data-driven insights.</li><li><b>
Monitoring &amp; Growth Analysis: </b>monitor key metrics such as traffic, user behaviour, and conversion rates to identify growth opportunities and drive continuous improvement.</li><li><b>
Analytics Tools &amp; Tracking: </b>leverage tools such as Google Analytics, Adobe Analytics, and heatmaps to track, measure, and analyse website performance.</li><li><b>
A/B Testing &amp; CRO: </b>implement A/B testing and Conversion Rate Optimisation (CRO) strategies to improve user engagement and conversion performance.</li><li><b>
Cross-Functional Collaboration: </b>collaborate closely with marketing, UX, and development teams to enhance user experience and overall site effectiveness.</li><li><b>
Tag Management &amp; Data Accuracy: </b>ensure accurate website tracking, including the setup and management of tags in Google Tag Manager for reliable data collection.</li></ul><p><b>
Workplace: </b>Germany &amp; Remote // Berlin &amp; Hybrid</p><p>
We are mainly looking for this role based in Germany, preferably at our headquarters in Berlin. We are a remote-first company, with teams around the Globe and our HQ office in Berlin, where the team often meets in the office.</p><p><b><br>
Who you are:</b></p><p></p><ul><li><b>
Experience &amp; Background</b>: 4+ years of experience in growth, product optimisation, or similar roles within B2C e-commerce or consumer digital products.</li><li><b>
Conversion Optimisation &amp; Experimentation: </b>strong hands-on experience improving website and app conversion funnels through experimentation, user behaviour analysis, and data-driven decision making.</li><li><b>
Analytics &amp; Tools: </b>strong hands-on experience with tools such as Amplitude, Google Analytics, SQL, Grafana, Hotjar, and A/B testing platforms like AB Tasty, Maxymizer, or Optimizely.</li><li><b>
Ownership &amp; Problem Solving: </b>strong ownership mindset with the ability to proactively investigate root causes and drive solutions when metrics or user behaviour change unexpectedly.</li><li><b>
Customer &amp; Product Mindset: </b>customer-focused and curious about user behaviour, with the ability to identify friction points and opportunities to improve conversion and overall experience.</li><li><b>
Analytical Thinking: </b>ability to turn complex business problems into clear hypotheses, experiments, and actionable product improvements.</li><li><b>
Collaboration &amp; Ways of Working: </b>comfortable working in Agile environments and collaborating closely with product, design, engineering, and commercial teams.</li><li><b>
Communication Skills: </b>clear communicator who can work effectively with both technical and non-technical stakeholders.</li><li><b>
Adaptability &amp; Impact: </b>thrives in fast-moving environments, adapts quickly to ambiguity, and is motivated by driving measurable business impact.</li></ul><p></p><p><b>
What you can expect:</b></p><ul><li>
You will join a fast-paced travel tech company and take on a rapidly growing industry</li><li>
You will take on ownership and responsibility from day one and have a direct impact on the success of the company</li><li>
We value agility! We&rsquo;re constantly updating our tech stack and offer the best possible tools to ensure all of our in-house engineers, partners, and carriers benefit from cutting-edge, efficient solutions.</li><li>
You will work with global companies. Our product attracts the biggest names in travel technology, such as Booking.com, and Google Maps, and national carriers like Amtrak, Deutsche Bahn, Renfe, and SNCF.</li><li>
You will join an international team of talented and driven people with a clear mission. Expect your colleagues to inspire, support, and challenge you every day!</li><li>
We offer flexible and remote working conditions, relocation opportunities, and career growth in a small and developing company</li></ul><p><b><br>
Our hiring process for this role:</b></p><p>
Your Talent Partner (TP) and point of contact is <b>Benedetta</b>, and the Hiring Manager (HM) is <b>Francesc Ferre</b>.<br>
For any queries, please contact your Talent Partner at (talent@distribusion.com).</p><p><i><br>
Do you want to work on a product that is used by millions of people daily with a high load, availability, scalability and the most advanced technology? </i>Come join us!</p></div>

eCommerce Growth Analyst (all genders)

Bertrandt

<div><div><div><div><div>12277, Berlin - Marienfelde, Deutschland
</div></div></div></div><div><div>Mit Benutzerkonto bewerben
</div></div><div><div><div><div><h3 class="jobSectionHeader"><b>Wir sind Bertrandt.
</b></h3><p>Ein eigenst&auml;ndiger und internationaler Engineering Dienstleister mit langj&auml;hriger Expertise. Mit branchen&uuml;bergreifendem Know-how und einem ganzheitlichen System- und Produktverst&auml;ndnis schaffen wir technologische L&ouml;sungen entlang der gesamten Wertsch&ouml;pfungskette. Wir besch&auml;ftigen uns mit den Trendthemen Digitalisierung, E-Mobilit&auml;t und Autonome Systeme haupts&auml;chlich f&uuml;r die Branchen Automotive, Luftfahrt, Defence und Maschinenbau und erm&ouml;glichen hier konsequent die Entstehung passgenauer L&ouml;sungen. Unser Ziel: den technologischen Fortschritt beschleunigen und einen relevanten Beitrag zu einer nachhaltigen Zukunft leisten. Daran arbeiten wir jeden Tag &ndash; mit rund 12.000 Mitarbeiterinnen und Mitarbeitern an &uuml;ber 50 Standorten weltweit.</p><br>
</div></div></div></div><p></p><div><div><div><div><p><b>Was Sie erwartet:</b></p><br>
<p></p><ul><li><p>Verantwortlich f&uuml;r die Entwicklung von Softwaretools zur Erfassung von Daten verschiedener Datenlieferanten aus unterschiedlichen Quellen, darunter Datenbanken, Tabellenkalkulationen und Unternehmenssysteme</p><br>
</li><p></p><li><p>Bereinigung, Validierung, Kontrolle und Organisation von Datens&auml;tzen f&uuml;r Berichts- und Analysezwecke</p><br>
</li><p></p><li><p>Pflege von Datens&auml;tzen und Unterst&uuml;tzung von Data-Governance-Ma&szlig;nahmen</p><br>
</li><p></p><li><p>Analyse gro&szlig;er Datens&auml;tze zur Identifizierung von Trends, Mustern und Anomalien</p><br>
</li><p></p><li><p>Durchf&uuml;hrung von Analysen zur Bewertung der Qualit&auml;t der Datenlieferanten vor der Freigabe an den Kunden</p><br>
</li><p></p><li><p>Unterst&uuml;tzung bei Ad-hoc-Anfragen verschiedener Abteilungen zur Datenanalyse</p><br>
</li><p></p><li><p>Entwicklung und Pflege regelm&auml;&szlig;iger Berichte, Dashboards und Leistungs-Scorecards</p><br>
</li><p></p><li><p>Pr&auml;sentation von Daten auf klare und visuell ansprechende Weise mithilfe von Diagrammen, Tabellen und Dashboards</p><br>
</li><p></p><li><p>Verfolgung von Leistungskennzahlen (KPIs)</p><br>
</li><p></p><li><p>Identifizierung von M&ouml;glichkeiten zur Verbesserung von Berichtsprozessen, Datenqualit&auml;t und Analysemethoden</p><br>
</li><p></p><li><p>Mitwirkung an der Entwicklung von Datenstandards, Vorlagen und Best Practices</p><br>
</li></ul><p></p><p><b>Was Sie mitbringen:
</b></p><ul><li><div>Abgeschlossenes Studium oder vergleichbare Qualifikation im Bereich Datenanalyse, Statistik, Informatik oder einer verwandten Fachrichtung</div>
</li><li><div>Fundierte Kenntnisse in der Analyse und Aufbereitung von Daten</div>
</li><li><div>Grundverst&auml;ndnis im Bereich Informationssysteme von Vorteil</div>
</li><div></div><li>Sicherer Umgang mit Excel bzw. Google Sheets</li>
<li><div>Gute Kenntnisse in SQL zur Datenabfrage und -verarbeitung</div>
</li><li><div>Erfahrung mit BI-Tools wie Power BI oder Tableau</div>
</li><li><div>Programmierkenntnisse in Python oder R zur Datenanalyse und Automatisierung</div>
</li><li>Sehr gute Englisch- und Deutschkenntnisse, Franz&ouml;sisch ist von Vorteil</li>
<li><div>Flexibilit&auml;t und Reisebereitschaft f&uuml;r gelegentliche kurzfristige Dienstreisen</div><br>
</li></ul></div></div></div></div><p></p><div><div><div><div><p>Bertrandt legt gro&szlig;en Wert auf Gleichbehandlung und Chancengleichheit. Unsere Recruiting-Entscheidungen basieren auf den Erfahrungen und F&auml;higkeiten der Bewerber*innen. Schwerbehinderte Menschen bzw. gleichgestellte Menschen im Sinne des SGB IX sind herzlich willkommen und werden bei gleicher Eignung bevorzugt eingestellt.</p>
<p><b>Sie sind interessiert?
</b></p><p>Wir freuen uns &uuml;ber Ihre Bewerbung!</p>
</div></div></div></div><div><div><div><div>Benefits: Corporate Benefits, Internes Gesundheitsmanagement, Weiterbildungsangebote, JobRad, Attraktive Verg&uuml;tung
</div></div></div></div><div><div><p><b>Kontakt
</b></p></div></div><div><div><div><div>Name: Felicitas Furkim
</div></div></div></div><div><div><div><div>Telefon: +49 7034 65612497
</div></div></div></div><div><div><p>www.bertrandt.com/karriere</p></div></div></div>

Datenanalyst / Data Engineer (m/w/d)

Numa

<div><div><h3 class="jobSectionHeader"><b>ABOUT NUMA</b></h3>
<p>
Hey there! We're Numa, a forward-thinking hospitality brand redefining how people discover cities. We create spaces where simplicity meets innovation, offering thoughtfully designed rooms, studios, and apartments in the heart of Europe's most vibrant neighbourhoods.<br>
We're not just transforming the guest experience&mdash;we're revolutionizing the hospitality industry from the inside out. Our cutting-edge technology streamlines operations, delivering unparalleled value with no hidden fees&mdash;just real, quality experiences.<br>
At Numa, we believe that travel should be curious and authentic, and we bring those same values to our work culture. As part of our team, you'll experience a dynamic and supportive environment where creativity thrives, and your contributions make a real impact. We're committed to fostering a diverse, inclusive, and equitable workplace where every voice is valued, and different perspectives fuel our innovation.</p></div><h3 class="jobSectionHeader"><b>
WHY THIS ROLE EXISTS</b></h3>
<p>
Anyone can stand up a warehouse. The hard part is taking a good data foundation and making the whole organisation trust it, use it, and decide with it. That's where Numa is. Having grown to 40 cities across Europe in just six years, we already have a solid data stack and most of our data centralised in the warehouse. The opportunity now is to take it to the next level: from data that's <i>available</i> to data that's <i>proven, accurate, and trusted enough to drive commercial decisions</i> &mdash; and to bring the remaining pockets that still live in spreadsheets into the same foundation.</p>
<p>
The order matters: good process creates trusted data, trusted data creates KPIs leaders can decide on, and only then does AI add real leverage rather than noise. We're already experimenting with AI analytics; this role makes that robust &mdash; better practices, higher trust, and data that is genuinely AI-ready, so the experiments become a dependable capability.</p>
<p>
Just as important is the human side: raising data literacy across the company and enabling department heads to own and self-serve their own numbers, so good data drives everyday decisions rather than sitting in a central team's queue. This role owns that shift &mdash; not as an engineer who builds pipelines or an analyst who pulls numbers, but as the person who sets the data strategy, translates commercial needs into a scalable architecture, and lifts the whole organisation's data maturity.</p>
<h3 class="jobSectionHeader"><b>
WHAT YOU'LL OWN</b></h3>
<p>
You sit at the intersection of three things, and the rare skill is connecting them:</p>
<ul>
<li><b>Commercial translation.</b> This is the core of the job. You partner with Finance, Real Estate, HR, Growth to understand what they actually need, then translate that into the right data strategy &mdash; scalable and sustainable, not a one-off.<br>
</li>
<li><b>Quality, trust, and AI-readiness.</b> You take our data from available to dependable &mdash; proven, accurate, and high-quality enough that leaders decide on it without a second source. That includes bringing the remaining data still living in spreadsheets into the shared foundation, and raising the bar on governance and quality across the board. It's as much about people as architecture: making the shared, trusted version the obvious choice, and lifting data literacy so teams use it well. This is also what makes our AI analytics robust rather than experimental &mdash; trustworthy, well-modeled data is the precondition for AI that can be relied on, and you make that foundation real.<br>
</li>
<li><b>Strategy &amp; architecture direction.</b> You set the direction for the data stack &mdash; what each layer is for, what we should test, what we adopt or retire &mdash; and you bring rigour and challenge to those choices. You don't own or run the platform; our Data Engineering lead owns execution and does it well, with strong opinions of his own and the standing to challenge you back. Your job is the strategic counterpart to that: pushing new solutions, pressure-testing the architecture, and making sure every layer earns its place &mdash; so the stack is challenged by more than one person. You need a clear, opinionated grasp of the options and the judgment to make build/buy/test calls without being attached to any one technology.</li>
</ul><h3 class="jobSectionHeader"><b>WHAT WE'RE LOOKING FOR</b></h3>
<ul><li>Senior judgment on the modern data stack &mdash; you can explain what a semantic layer is, what a warehouse is, what the credible options are, and defend a stack choice (and argue the opposite). Depth in any single tool is welcome but not the bar.</li>
<li>A track record of <b>commercial translation</b> &mdash; you've sat with non-technical business teams, understood their domain well enough to model it, and turned that into durable data structures. This is the disqualifying gate: strong elsewhere but weak here is a no.</li>
<li>A track record of <b>raising data maturity</b> &mdash; taking a working data setup to the next level on quality, governance, and trust, and consolidating the last pockets of siloed data into a shared foundation. Bonus if you've won over the people who were attached to their own spreadsheets.</li>
<li>An <b>AI-ready mindset</b> &mdash; you treat AI fluency as the payoff of clean, governed data, and know how to make AI analytics trustworthy and robust rather than experimental.</li>
<li>Comfortable as a peer to senior commercial leaders; credible with both a GM and a C-level audience.</li>
</ul><div><h3 class="jobSectionHeader"><b>ABOUT OUR OFFER</b></h3>
<ul><li><b>Empower your career:</b> Thrive in a fast-paced, collaborative environment where your ideas help shape our future. Enjoy opportunities for professional growth and build a fulfilling career path.</li>
<li><b>Experience our brand:</b> Immerse yourself in the Numa lifestyle with a complimentary stay. Share the love with friends and family through exclusive discounts on our stylish apartments. Connect with a global community of colleagues at our inspiring team-building events.</li>
</ul>
<p>Numa <i>values the diversity of the people it hires and serves. Diversity at our company means fostering a workplace in which individual differences are recognised, appreciated, respected and responded to in ways that fully develop and utilise each person's talents and strengths. We therefore welcome applications from people of all races, ethnicities, disability statuses, ages, religions, gender identities, and sexual orientations.</i><br>
<br>
<i>For more information on the processing of your personal data, please see our </i><i>Privacy Notice</i><i>.</i></p></div></div>

Head of Data (m/f/d)

Norwegian Refugee Council

<div><p><b>What we are looking for:
</b></p><p>We're looking for an experienced <b>Data Scientist </b>to help shape the future of humanitarian action through CLEAR (Crisis Learning, Early Warning and Anticipatory Action) - NRC's open infrastructure designed to transform fragmented crisis data into timely, actionable intelligence.<br>
</p><p></p><p>CLEAR brings together diverse data sources - including earth observation, conflict data, field reports, and market intelligence - into a shared, open, and federated platform that enables humanitarian teams to anticipate crises and act before they escalate. By closing the gap between insight and action, CLEAR empowers faster, smarter, and more effective humanitarian responses.<br>
</p><p></p><p>As the Data Scientist, you will play a pivotal role in designing and deploying cutting-edge machine learning and deep learning solutions that support early warning systems and humanitarian decision-making. You will develop predictive models capable of identifying emerging crisis patterns, forecasting humanitarian needs, and transforming complex, multimodal datasets into practical insights for field operations.
</p><p>This is a highly technical, hands-on role suited to someone who enjoys building, training, and fine-tuning AI models from the ground up. You are comfortable working in data-scarce, rapidly evolving environments, proactively sourcing and preparing data, and solving complex challenges where real-world impact matters.
</p><p>Working closely with the AI Lead, software developers, and data engineers, you will contribute across the full machine learning lifecycle - from model development and optimisation to performance monitoring and deployment. You will also help shape the technical environment in which models are trained and refined, ensuring AI solutions are scalable, robust, and aligned with the operational realities of humanitarian response.<br>
</p><p></p><p><b>What you will do:
</b></p><p><b><i>Here are some of your specific responsibilities
</i></b></p><ul><li><p>Support the design and implementation of CLEAR&rsquo;s data architecture.
</p></li><li><p>Partner with developers and data engineers to design and stand up the environment needed to train and fine-tune models (including data ingestion pipelines, compute and GPU resources, experiment tracking and MLOps tooling) actively shaping that environment rather than waiting for it to be provided.
</p></li><li><p>Develop machine learning and deep learning models that integrate multiple data streams to detect early indicators of humanitarian crises, combining earth observation and satellite imagery, conflict event data, climate monitoring, economic indicators, and population movement patterns into unified risk assessment frameworks.
</p></li><li><p>Build computer-vision and remote-sensing models on satellite and aerial imagery (for example flood-extent mapping, building and settlement detection, displacement-site monitoring, infrastructure damage assessment and land-cover change detection) and fuse these earth observation outputs with non-imagery signals.
</p></li><li><p>Contribute to building automated alert systems that identify emerging crises, calibrating prediction algorithms for different crisis types.
</p></li><li><p>Create ensemble modelling approaches that combine traditional statistical methods with advanced AI techniques.
</p></li><li><p>Fine-tune and adapt foundation models and large language models to humanitarian use cases such as document triage, multilingual report analysis and situation summarisation.
</p></li><li><p>Explore venues for adapting models to evolving crisis conditions through reinforcement learning systems.
</p></li><li><p>Implement impact-based forecasting systems that translate meteorological, conflict, and economic predictions into specific humanitarian consequences such as displacement volumes, food insecurity levels, and infrastructure damage estimates.
</p></li><li><p>Build decision trees and recommendation engines that guide field staff through systematic needs assessment processes informed by predictive analytics and historical response data.
</p></li><li><p>Create automated reporting systems and interactive dashboards that enable field teams and leadership to access real-time data for rapid response activities.
</p></li><li><p>Any other tasks assigned by the CLEAR Technical Lead and AI Lead related to CLEAR data.
</p></li></ul><p>Please download the <b>detailed job description </b>to learn more about this position.
</p><p><b>What you will bring:
</b></p><ul><li><p>Advanced degree in Data Science, Statistics, Computer Science, Physics, Engineering, Economics or a related quantitative field, with a minimum of 5 years of professional experience in applied data science.
</p></li><li><p>Demonstrated experience designing, training and fine-tuning deep learning models (e.g. CNNs, recurrent/sequence models and transformers), including how to structure training runs, manage compute, and diagnose and improve model performance.
</p></li><li><p>Advanced proficiency in Python for statistical analysis, machine learning and data manipulation, with experience in key libraries including pandas, NumPy, scikit-learn, TensorFlow, PyTorch and Keras.
</p></li><li><p>Strong SQL skills for database management and complex query optimization.
</p></li><li><p>Hands-on experience implementing supervised and unsupervised learning algorithms including regression models, classification techniques, clustering methods, and time series analysis.
</p></li><li><p>A proven track record of proactively sourcing and engineering data (finding, negotiating access to, cleaning and, where necessary, generating data).
</p></li><li><p>Experience designing and implementing ETL pipelines for processing datasets from multiple sources, with skills in data cleaning, transformation and quality assurance at scale.
</p></li><li><p>Ability to create automated reporting systems and dashboards using tools like Tableau, Power BI or similar platforms.
</p></li><li><p>Experience working with large, messy, real-world datasets.
</p></li><li><p>Understanding of model deployment and MLOps practices, and comfort working with engineers to provision the infrastructure models need.
</p></li><li><p>Fundamental skills with version control software and collaborative development.
</p></li><li><p>Fluency in written and spoken English. Other languages are an asset.
</p></li><li><p>Practical experience working in low-data or data-scarce settings, including transfer learning, few-shot learning, data augmentation and synthetic data generation to overcome limited training data.
</p></li><li><p>Experience implementing and fine-tuning large language models (LLMs) for applied tasks.
</p></li><li><p>Experience with natural language processing techniques for analyzing reports, social media or news data relevant to crisis monitoring.
</p></li><li><p>Experience using GenAI for automated analysis of large volumes of documents &mdash; extracting key themes, sentiment analysis and identifying emerging trends across multiple contexts and languages.
</p></li><li><p>Understanding of ensemble methods and explainable AI techniques for transparent decision-making.
</p></li><li><p>Experience working with earth observation and satellite imagery; optical (e.g. Sentinel-2, Landsat) and radar / SAR (e.g. Sentinel-1), alongside commercial high-resolution sources, and with geospatial tooling such as Google Earth Engine, rasterio / GDAL, xarray and geopandas.
</p></li><li><p>Applying computer vision and deep learning to imagery (semantic segmentation, object detection, change detection) for humanitarian tasks such as flood-extent mapping, damage assessment, settlement and displacement-site detection, infrastructure monitoring and population estimation (a strong asset).
</p></li><li><p>Experience with multimodal data fusion.
</p></li></ul><p><b>What we offer:
</b></p><ul><li><p>Duty station: Remote (Germany, France, UK or Belgium)
</p></li><li><p>Contract: Fixed term (2 years)
</p></li><li><p>Travel: Up to 10%
</p></li><li><p>Salary/benefits: Grade 9 on NRC&rsquo;s <b>Resident </b>salary scale, with accompanying terms and conditions.
</p></li><li><p>NRC is an equal opportunities employer. We are committed to diversity without distinction to age, gender, religion, ethnicity, nationality, and physical ability.
</p></li><li><p>We think outside the box, encourage ideas, and give responsibility to all employees at all levels. You will have many opportunities to be heard and take the initiative.
</p></li></ul><p>Find out more about the benefits of working for NRC
</p><p>Important information about the application process
</p><ul><li><p>For Internal candidates: To apply as an internal candidate, log in with your official email or click on Opportunity Market Place.
</p></li><li><p>When creating your profile, include your full name as given on your passport. Complete all the system-required fields for experience, employment history and education.
</p></li><li><p>Submit your application and CV in English, taking care to attach your latest CV.
</p></li><li><p>Applications that do not meet the minimum standards in terms of experience or qualifications will generally not be considered. Unsolicited applications not related to this specific job advertisement will not be considered.
</p></li><li><p>We receive many applications for each vacant position and so only shortlisted candidates will be contacted.
</p></li></ul><p>If you have any questions about this role, please email <b>ho.recruitment@nrc.no </b>with the job title as the subject line.
</p><p><b>Why NRC?
</b></p><p>The Norwegian Refugee Council (NRC) is an independent humanitarian organisation helping people forced to flee. Our 15,000 staff work in crises across 40 countries, providing life-saving and long-term assistance to millions of people every year.
</p><p>Watch this short video to see NRC in action.
</p><p>We are looking for people who are passionate about helping refugees and people forced to flee. Are you one of those people? If you are, NRC offers you the opportunity to:
</p><ul><li><p>do demanding and professional work, often in challenging contexts.
</p></li><li><p>join a work culture that empowers every employee to share ideas and take responsibility.
</p></li><li><p>be part of a welcoming and supportive community committed to human dignity.</p></li></ul></div><p></p>
<br><div><div>The Norwegian Refugee Council (NRC) is a global humanitarian organisation helping people forced to flee.<br>
</div><div></div><br>
<div>Join us in assisting millions of people in areas where others cannot, tackling some of the world's most dangerous and difficult crises. Bring your skills and dedication to an organisation recognised for providing high quality aid and for defending the rights of refugees and internally displaced people.<br>
</div><div></div><br>
<div>At NRC, we give responsibility to employees at all levels and foster professional growth and innovative teams. You can expect a supportive culture and an open dialogue with management. We are committed to diversity, equity and inclusion.<br>
</div><div></div><br>
<div>Together, we save lives and rebuild futures.<br>
</div><div></div><br>
<div>Safeguarding is central to NRC&rsquo;s work. We expect all employees to:
</div><ul><li>treat everyone with respect and dignity
</li></ul><ul><li>contribute to building a safe environment for all
</li></ul><ul><li>never engage in any form of exploitation, harassment and specifically sexual exploitation, abuse and sexual harassment (SEAH)
</li></ul><ul><li>always report. NRC has a zero-tolerance approach to inaction against exploitation, abuse and SEAH</li></ul></div><p></p>

Data Scientist

Gemma Analytics

<div><h4 class="jobSectionHeader"><b>About Gemma Analytics</b></h4><p>
Gemma Analytics helps clients to become more data-driven. As one of our AI &amp; Analytics Engineers, you sit at the intersection of data and AI. You don't just build pipelines and dashboards, you help design and deliver intelligent, agentic solutions that create real business impact for our clients. You surface insights others miss, translate complexity into clarity, and bring a builder's mindset to every engagement.<br>
<br>
This role is for someone who is equally comfortable writing a dbt model and prototyping an AI-driven workflow. You'll work hands-on with clients across startups and SMEs, supported by senior mentors in your first months, and grow into someone who shapes how we deliver the next generation of data and AI work.</p><h4 class="jobSectionHeader"><b><br>
About the job</b></h4><p></p><p>
As an AI &amp; Analytics Engineer at Gemma, you play a critical role in helping our clients generate meaningful business value from their data and from AI. You don't just transform raw information into reliable insights; you design and build intelligent, agentic systems that automate decisions, accelerate workflows, and unlock new possibilities for the businesses we work with.<br>
<br>
You identify patterns others miss, translate complex client challenges into practical solutions, and bring both analytical rigor and an AI-builder's mindset to every engagement. Working closely with clients, you bridge the gap between data foundations and the next generation of AI-driven applications.<br>
<br>
During your first months, you will be supported by experienced team members to ensure a smooth onboarding and a strong technical foundation across both the modern data stack and agentic AI tooling.<br>
<br>
<b>Responsibilities:</b></p><ul><li>
As we are tooling-agnostic, you will work with multiple technologies and develop a deep understanding of what is currently possible in the data landscape<br>
Collaborate and connect with domain experts to solve data challenges across various industries<br>
Develop advanced data reporting and visualisations<br>
Apply data modeling methodologies and contribute to a robust data platform for our clients<br>
Leverage AI tools &mdash; including agentic workflows and AI coding assistants &mdash; to accelerate and enhance data work</li></ul><p></p><h4 class="jobSectionHeader"><b>
Who you are</b></h4><p>
We believe in a strong mix of experience and growth potential in our team and we welcome applications from all backgrounds. For this mid-level role, we are looking for people with initial experience in analytics, combined with curiosity, a structured mindset, and enthusiasm for turning numbers into business insights.<br>
Beyond that, we are looking for:</p><ul><li>
Experience with SQL and relational databases</li><li>
Business Fluency (C2 or native) in German and English</li><li>
First understanding of data modeling techniques (e.g. Data Vault or Kimball's Dimensional Modelling) and data warehousing in general</li><li>
Experience with AI tools in a professional context, ideally including AI coding assistants (e.g. Claude Code) and agentic analytics workflows</li><li>
Optional: Experience with one or more programming languages (Python preferred)</li><li>
Optional: Experience in stakeholder and/or client management</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Gemma Perks</b></h4><p>
We are located in Berlin, close to Nordbahnhof. We are currently 18 colleagues and will grow to 24 colleagues in 2026. Other perks include</p><ul><li>
We have an honest, inclusive work environment and want to nurture this environment</li><li>
We have frequent team events in Berlin: our cultural base</li><li>
We encourage workations and even do workations as a company - it is up to you to come to the office between two and five days a week</li><li>
We don&rsquo;t compromise on equipment - a powerful Laptop, extra screens, and all the tools you need to be effective</li><li>
We will surround you with great people who love to solve (mostly data) riddles</li><li>
We believe in efficient working hours rather than long working hours - we focus on the output rather than the input</li><li>
We learn and share during meetups, lunch &amp; learn sessions and are open for further initiatives</li><li>
We pay a market-friendly salary and we additionally distribute at least 20% of profits to our employees</li><li>
We are fast-growing, have technology at our core, yet we do not rely on a VC and operate profitably</li><li>
We have a great yearly offsite event that brings us all together for a full week, enjoying good food, having a good time, and of course, solving complex data-related tasks solving complex data-related tasks</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
How you'll get here</b></h4><p></p><ul><li><p>
CV Screening</p></li><li><p>
Initial Conversation</p></li><li><p>
Hiring Test @home</p></li><li><p>
Interviews with 2-3 future colleagues</p></li><li><p>
Reference calls</p></li><li><p>
Offer + Hired</p></li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
We are Gemma Analytics: a Berlin-based company specialized in generating insights in a high-performance data infrastructure. Gemma was founded in early 2020 by two data enthusiasts. Ever since we have helped over 50 companies becoming more data-driven and successful. We have a fun, honest, and inclusive work environment. We are always looking for data-minded people we can learn from.</p></div>

AI & Analytics Engineer

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