data analytics specialist

Staffbase

<div><div><h3 class="jobSectionHeader">About Staffbase</h3>

We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform. Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.

Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis&ndash;St. Paul, our diverse team of 750+ employees supports 2,000+ customers&mdash;reaching over 16.4 million employees&mdash;in transforming their employee experience. 
We are proud to be a Unicorn company&mdash;privately valued at over $1 billion&mdash;demonstrating strong growth, innovation, and lasting impact in our industry. Together, we're shaping the future of workplace communication.</div>
As a Staff Engineer in our Data &amp; Analytics team, you will drive the technical direction of our data platform and analytics capabilities. This is a hybrid role combining hands-on technical leadership with people leadership. You will work closely with the Director of Engineering and cross-functional stakeholders to advance our data infrastructure and lay the foundations for AI-powered product features.
<h2 class="jobSectionHeader">
Our environment</h2>
<ul><li>Work alongside skilled, data-passionate engineers in a team that values collaboration</li>
<li>A flexible, agile environment with a strong focus on work-life balance</li>
<li>You will have real ownership and influence over data architecture</li>
<li>We are building toward a distributed, self-service data platform model &ndash; you will help shape how that evolves.</li>
<li>Data is a strategic asset at Staffbase: valued, actively growing, and directly enabling our AI product roadmap.</li>
</ul><h2 class="jobSectionHeader">What you'll be doing</h2>
<ul><li>Drive the technical direction of our data platform &ndash; leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholders</li>
<li>Support and develop a team of 4&ndash;5 engineers: providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture.</li>
<li>Own and evolve the data infrastructure: data lake, data foundations, semantic layer, and data governance &ndash; building a solid base for AI and analytics features</li>
<li>Lead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developing</li>
<li>Apply and advance strong data modeling practices across the platform.</li>
<li>Prioritize and mediate effectively with product stakeholders &ndash; advocating for the right technical decisions and sequencing of work</li>
<li>Contribute to the evolution of our self-service data platform approach, driving the cultural and technical shift toward distributed data ownership</li>
<li>Collaborate across the broader staff engineering community on cross-cutting architectural decisions</li>
</ul><h2 class="jobSectionHeader">What you need to be successful</h2>
<ul><li>Proven experience at Staff Engineer level or equivalent in a data engineering context</li>
<li>Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration.</li>
<li>Experience with streaming technologies (e.g. Kafka) &ndash; hands-on exposure is a strong plus</li>
<li>Solid data modeling skills and the ability to raise this as a team-wide standard.</li>
<li>Experience working with large-scale datasets commensurate with a sizeable B2B SaaS customer base.</li>
<li>Python proficiency and comfortable working across a modern data stack</li>
<li>Strong stakeholder management and communication skills &ndash; you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teams</li>
<li>A product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization.</li>
<li>Leadership experience or ambition: you are comfortable guiding engineers and driving delivery</li>
</ul><h2 class="jobSectionHeader">Nice to have</h2>
<ul><li>Experience with data governance for AI agents &ndash; understanding guardrails, access control, and safety considerations for agentic analytics.</li>
<li>Prior exposure to self-service data platform models and distributed data ownership strategies.</li>
<li>Experience in a product-led SaaS environment.</li>
</ul>
What you'll get
<ul>
<li>Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li>
<li>Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of &euro;1560</li>
<li>Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li>
<li>Support - we offer offering a company pension scheme</li>
<li>Volunteers Day - you'll get one day off per year for supporting a social project</li></ul></div><div></div>

Staff Engineer, Data & Analytics

Simon-Kucher

<div>
 
 In Deutschland
 
 - Berlin | Bonn | Frankfurt/Main | Hamburg | K&ouml;ln | M&uuml;nchen
 
 
 Du willst Praxiserfahrung in einer internationalen Unternehmensberatung sammeln? Bei uns kannst du dein Interesse an Wirtschaftsthemen mit deinen analytischen F&auml;higkeiten verbinden! Werde f&uuml;r mindestens 10 Wochen Teil eines au&szlig;ergew&ouml;hnlichen Teams. Was uns besonders macht: ein starker Unternehmergeist und jede Menge Gestaltungsfreiheit.
 
 
 Der Advanced Analytics Bereich bei Simon-Kucher konzentriert sich auf die Entwicklung von Best-in-Class-Ans&auml;tzen und -Modellen, um mit Hilfe von Machine Learning und Advanced Analytics komplexe Gesch&auml;ftsprobleme zu l&ouml;sen. Bei uns wirst du ein integraler Bestandteil der Projektteams sein, die das Wachstum unserer Kunden vorantreiben. W&auml;hrend deines Praktikums wirst du von unseren erfahrenen Kolleg:innen unterst&uuml;tzt und sammelst themenbezogene praktische Erfahrung.
 
 
 Der fr&uuml;hestm&ouml;gliche Starttermin ist ab Oktober 2026.
 
 
 
 Mehr Von Uns F&uuml;r Dich
 
 
 
 <ul>
 <li>
 Von Anfang an mit dabei: als fester Bestandteil eines Projektteams arbeitest du an spannenden Fragestellungen und nachhaltigen Wachstumsstrategien f&uuml;r unsere Kunden. In einem schnell wachsenden internationalen Unternehmen mit Start-up-Atmosph&auml;re kannst du eine steile Lernkurve erwarten.
 </li>
 <li>
 Pers&ouml;nliche Weiterentwicklung: profitiere von regelm&auml;&szlig;igen Feedbackgespr&auml;chen und bringe deine individuelle Perspektive in unsere Unternehmenskultur ein. Zus&auml;tzlich erh&auml;ltst du einen einj&auml;hrigen kostenfreien Zugang zu LinkedIn Learning, den du auch nach deinem Praktikum nutzen kannst.
 </li>
 <li>
 Du hast die Wahl: entscheide dich f&uuml;r eines unserer deutschen Offices
 </li>
 <li>
 Gut umsorgt: mit gesunden Snacks und Getr&auml;nken in unseren Offices
 </li>
 <li>
 Easy von A nach B: profitiere von unserem monatlichen Zuschuss f&uuml;r deine (private) Mobilit&auml;t, nutzbar f&uuml;r Taxi, Bahn, Carsharing u.v.m.
 </li>
 <li>
 Gemeinsam feiern: vernetze dich bei regelm&auml;&szlig;igen Mitarbeitenden-Events mit unseren Kolleg:innen
 </li>
 <li>
 Dein Praktikum als Karrierestart: M&ouml;glichkeiten zum Festeinstieg nach deinem Praktikum
 </li>
 <li>
 Gemeinsam wachsen: Nachhaltig und langfristig! Darum dreht sich alles bei Simon-Kucher. Unsere St&auml;rke: ein mitrei&szlig;endes, hoch motiviertes und sympathisches Team. Und jetzt kommst du: mitten hinein in die offene, wertsch&auml;tzende Start-up-Atmosph&auml;re eines etablierten Unternehmens mit 40-j&auml;hriger Erfolgsgeschichte.
 
 
 </li>
 </ul>
 
 Hier Bewegst Du Was
 
 
 
 <ul>
 <li>
 Gemeinsam im Team entwickelst du datenbasierte L&ouml;sungen f&uuml;r vielf&auml;ltige Fragestellungen und nutzt dabei gro&szlig;er Datenmengen als Grundlage.
 </li>
 <li>
 Dar&uuml;ber hinaus bist du ma&szlig;geblich an der Implementierung datenbasierter L&ouml;sungen beteiligt, um unseren Kunden einen echten Mehrwert zu verschaffen.
 </li>
 <li>
 Du arbeitest in unserem interdisziplin&auml;ren Team aus Data Scientists und Data Engineers an der Entwicklung von Dashboards und Data Pipelines f&uuml;r interne und externe Kunden.
 </li>
 <li>
 Du ber&auml;tst unsere Kunden bei technologischen Entscheidungen (z.B. wie man robuste ETL-Prozesse und Datenvisualisierungen konzipiert, implementiert und automatisiert).
 </li>
 <li>
 Du unterst&uuml;tzt unsere Kunden bei der Realisierung von Data Strategy, Data Governance und Data Processing Projekten.
 </li>
 <li>
 Du arbeitest an aktuellen Fragestellungen im Zusammenhang mit Chatbots, GenAI und Machine Learning.
 
 
 </li>
 </ul>
 
 Hiermit Begeisterst Du
 
 
 
 <ul>
 <li>
 Du studierst z.B. (Wirtschafts-) Informatik, Ingenieurwesen, (Wirtschafts-) Mathematik oder &auml;hnliches.
 </li>
 <li>
 Der Umgang mit Python und/oder SQL bereitet dir keinerlei Schwierigkeiten.
 </li>
 <li>
 Du hast bereits erste Erfahrung im Arbeiten mit gro&szlig;en Datenmengen gesammelt und bist in der Lage, komplexe Datenbanken aufzubauen und zu pflegen.
 </li>
 <li>
 Idealerweise bringst du auch erste Erfahrungen in der Automatisierung von ETL-Prozessen mit.
 </li>
 <li>
 Du verf&uuml;gst &uuml;ber Grundkenntnisse im Umgang mit relationalen Datenbanken und BI-Software (PowerBI, Tableau).
 </li>
 <li>
 Du lernst schnell, bist von Natur aus wissbegierig und besitzt die F&auml;higkeit, komplexe Sachverhalte einfach zu erkl&auml;ren.
 </li>
 <li>
 Deine Englisch- und Deutschkenntnisse sind verhandlungssicher.
 
 
 </li>
 </ul>
 Du willst dich gleich bei uns bewerben? Dann schick deine Unterlagen &uuml;ber den &bdquo;Apply now&ldquo;-Button zu uns. Bitte beachte, dass wir aus Datenschutzgr&uuml;nden keine Bewerbungen per E-Mail annehmen k&ouml;nnen. Alle wichtigen Informationen rund um deine Bewerbung findest du in unseren FAQs .
 
 
 Du willst mehr &uuml;ber uns und unsere Unternehmenskultur erfahren? Hier geht&rsquo;s zu unserem Recruiting Video .
 
 
 
 &Uuml;ber Simon-Kucher
 
 
 
 Simon-Kucher ist eine globale Unternehmensberatung mit mehr als 2.200 Mitarbeitenden in &uuml;ber 30 L&auml;ndern. Unser Fokus liegt darauf, nachhaltiges und profitables Wachstum zu erschlie&szlig;en und f&uuml;r unsere Kunden messbare Umsatz- und Ergebnissteigerungen zu realisieren. Als verl&auml;sslicher Partner f&uuml;r Commercial Excellence verbinden wir tiefgehende Beratungsexpertise mit Spezialisierung auf Wachstumsstrategien und technologischer Expertise, um nachhaltige Wertsteigerung zu erm&ouml;glichen. Wir optimieren s&auml;mtliche Hebel der kommerziellen Strategie &ndash; von Produkt, Pricing und Innovation bis hin zu Marketing, Vertrieb und digitalen Gesch&auml;ftsmodellen &ndash; auf Basis fundierter Erkenntnisse zu Kundennutzen und Zahlungsbereitschaft. Mit &uuml;ber 40 Jahren Erfahrung in der Monetarisierung gelten wir als weltweit f&uuml;hrende Beratung f&uuml;r Commercial Growth und Pricing. simon-kucher.com
 
 
 Wir setzen uns f&uuml;r eine Unternehmenskultur ein, die Diversit&auml;t, Gleichstellung und Inklusion f&ouml;rdert &ndash; und damit ein Umfeld der Anerkennung, das individuelle Entfaltung st&auml;rkt und den Beitrag eines jeden Einzelnen w&uuml;rdigt. So k&ouml;nnen wir weitreichende und positive Ver&auml;nderungen bewirken. Wertsch&auml;tzung und Anerkennung bef&auml;higen uns dazu, schneller zu wachsen, innovativer zu arbeiten und nachhaltigere Ergebnisse f&uuml;r alle zu erzielen &ndash; f&uuml;r unsere Teams, unsere Kunden und unser Unternehmen.
 
 
 
 
 
 Deine Pers&ouml;nliche Ansprechpartnerin
 
 
 
 Sina Gassen
 
 
 recruitment.germany(at)simon-kucher.com
 
 
 Bitte reiche deine Bewerbung ausschlie&szlig;lich &uuml;ber den
 
 &ldquo;Apply now&rdquo;-Button ein!
 
 
 
 
 Better growth starts here. With you.
 
</div>

Praktikum Data Engineer im Bereich Advanced Analytics (m/w/d)

LimeFlight

<div>Join our fully remote, mission-driven team dedicated to pioneering sustainable inflight service management. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.
Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion.
<h4 class="jobSectionHeader">About the role</h4>
We are hiring a Senior Data &amp; Analytics Engineer to take end-to-end ownership of our data platform and BI layer.
We are on a mission to contribute to a zero-waste future by drastically reducing food waste, fuel consumption, costs, and most importantly, CO₂ emissions in the airline industry. Every role in our company is a direct contributor to this vision - and as a Senior Data &amp; Analytics Engineer you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.
You will evolve a vendor-built BI solution into a modern, product-grade data platform and ensure that data is transformed into scalable, trusted, and actionable insights for both our customers and internal teams. You&rsquo;re not just building dashboards, you&rsquo;re enabling better decisions and measurable impact.
This role combines:<ul><li>
Data Engineering (pipelines, processing, customer facing exports, platform)</li><li>
Analytics Engineering (modeling, KPIs, semantic layer)</li><li>
Data Product Ownership (customer impact, insight generation)</li></ul><h4 class="jobSectionHeader">
What You&rsquo;ll Own</h4>
Platform, Architecture &amp; Pipelines
Own the end-to-end data platform (Databricks and Microsoft Fabric)<ul><li>
Design and operate scalable pipelines and lakehouse architecture</li><li>
Build scalable ETL/ELT workflows and manage batch/near real-time processing</li><li>
Ensure data quality, reliability, observability, and performance</li><li>
Define standards, data contracts, and architecture principles (clean, modular, scalable data platform)</li><li>
Optimize cost (e.g. Databricks jobs) and workload distribution across platforms</li></ul>
Data Modeling &amp; Semantic Layer<ul><li>
Own Power BI semantic models and KPIs</li><li>
Build clean, scalable dimensional models (star schema)</li><li>
Ensure performance and consistency of DAX, aggregations, and dataset refresh</li></ul>
Customer-Facing Analytics<ul><li>
Build and maintain customer-facing dashboards and embedded analytics</li><li>
Ensure consistent and trusted metrics across all outputs</li><li>
Enable self-service analytics with governance</li><li>
Maintain and monitor customer facing exports</li></ul>
Data as Product<ul><li>
Translate business and customer needs into scalable data solutions</li><li>
Define KPIs and reporting standards with Product</li><li>
Proactively build insights and identify opportunities to create additional customer value</li><li>
Drive measurable customer and business impact</li></ul>
Platform Quality, Operations, Security &amp; Governance<ul><li>
Build necessary validation scripts, unit tests, data quality checks</li><li>
Implement CI/CD, testing, and versioning for pipelines and BI</li><li>
Support multi-tenant architecture, security, and governance</li><li>
Implement monitoring and alerting (pipelines, refreshes)</li></ul>
Migration &amp; Insourcing (Initial Focus)<ul><li>
Take ownership of a vendor-built BI solution</li><li>
Reverse-engineer pipelines, logic, and reports</li><li>
Reduce technical debt and rebuild toward a clean architecture</li></ul><h4 class="jobSectionHeader">
What We&rsquo;re Looking For</h4>
Experience<ul><li>
5+ years in data engineering / analytics engineering for customer-facing BI products</li><li>
Experience in SaaS or product-driven environments</li><li>
Proven track record building scalable data platforms and customer-facing analytics</li></ul>
Technical &amp; Platform Skills<ul><li>
Strong experience with:<ul><li>
Databricks (Spark / PySpark, Delta Lake)</li><li>
Microsoft Fabric or Azure data stack</li><li>
Power BI (data modeling, DAX, performance)</li></ul></li><li>
Advanced SQL and dimensional modeling (Kimball) expertise</li><li>
Lakehouse architecture &amp; ETL/ELT design</li><li>
Multi-tenant data models &amp; embedded analytics</li></ul>
Engineering Practices<ul><li>
CI/CD for data pipelines and BI assets</li><li>
Write reusable, modular, maintainable and testable code.</li><li>
Monitoring and data quality practices</li><li>
Version control (e.g., Git)</li></ul>
Nice-to-have<ul><li>
Azure infrastructure knowledge (IAM, networking)</li><li>
Data quality/testing frameworks (e.g., Great Expectations)</li></ul>
Mindset<ul><li>
Strong ownership and autonomy: You take full ownership of outcomes, not just tasks</li><li>
Impact-driven: You focus on real-world results and have strong intuition for identifying patterns, anomalies, and optimization opportunities</li><li>
Product thinker: You connect data to user value and turn raw data into clear, actionable insights</li><li>
Proactive: You proactively identify opportunities, validate ideas, and build reports, dashboards, and analyses without waiting for requirements.</li></ul><ul><li>
Domain expert: You understand business contexts quickly and translate problems into effective data solutions.</li><li>
Pragmatic: You prioritize simplicity and avoid overengineering, focusing on what delivers value.</li><li>
Clear communicator: You communicate effectively across technical and business stakeholders, making complex topics easy to understand.</li></ul><h4 class="jobSectionHeader">
Language</h4>
Min. English C1<h4 class="jobSectionHeader">
Expected travel needs</h4>
2 annual one-week team events<h4 class="jobSectionHeader">
Our Tech Stack</h4><ul><li>
C# (.NET 8&ndash;10), ASP.NET Core, Entity Framework Core</li><li>
Microsoft SQL Server, Azure Blob Storage</li><li>
Azure App Services &amp; Functions, Docker</li><li>
Azure Service Bus, Terraform</li><li>
GitHub Actions, SonarQube, extensive unit &amp; integration tests</li><li>
Angular Latest Version</li><li>
Databricks and Azure Fabric</li></ul><h4 class="jobSectionHeader">
Hiring Process</h4><ul><li>
Recruiter Screen (45 mins)</li><li>
Interview with the Hiring Manager (1 hour)</li><li>
Technical interview (1 hour)</li><li>
Discussion with founder(s) and peer(s) (1 hour)</li></ul> 
LimeFlight is proud to be an equal opportunity employer.
We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work.
Join us and be part of a team committed to shaping a zero-waste future for aviation, where your ideas and passion truly matter.
Let&rsquo;s talk!</div>

Senior Data & Analytics Engineer (Europe, 100% remote)

Gemma Analytics

<div><h4 class="jobSectionHeader">About Gemma Analytics</h4>
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. 
 
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.<h4 class="jobSectionHeader"> 
About the job</h4>
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. 
 
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. 
 
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. 
 
Responsibilities:<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 
Collaborate and connect with domain experts to solve data challenges across various industries 
Develop advanced data reporting and visualisations 
Apply data modeling methodologies and contribute to a robust data platform for our clients 
Leverage AI tools &mdash; including agentic workflows and AI coding assistants &mdash; to accelerate and enhance data work</li></ul><h4 class="jobSectionHeader">
Who you are</h4>
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. 
Beyond that, we are looking for:<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><h4 class="jobSectionHeader"> 
Gemma Perks</h4>
We are located in Berlin, close to Nordbahnhof. We are currently 18 colleagues and will grow to 24 colleagues in 2026. Other perks include<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><h4 class="jobSectionHeader"> 
How you'll get here</h4><ul><li>
CV Screening</li><li>
Initial Conversation</li><li>
Hiring Test @home</li><li>
Interviews with 2-3 future colleagues</li><li>
Reference calls</li><li>
Offer + Hired</li></ul><h4 class="jobSectionHeader">
About us</h4>
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.</div>

AI & Analytics Engineer

ALMETRA

<div>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.
What you&rsquo;ll do<ul><li>
Collaborate with manufacturing customers to analyse production data and uncover performance drivers</li><li>
Work closely with AI and backend engineers to define, test and refine data pipelines, features and quality metrics</li><li>
Build clear, reliable dashboards and reports that highlight process efficiency, bottlenecks and improvement areas</li><li>
Identify anomalies or optimisation opportunities that feed back into our product&rsquo;s analytics layer</li><li>
Write clean, well-structured code for data processing and analysis &mdash; maintainable, reviewable, and production-aware</li><li>
Act as the bridge between Customer Success, Product and Engineering &mdash; turning operational insights into measurable impact</li></ul>
You are<ul><li>
3&ndash;5 years in data analytics or process optimisation, ideally in manufacturing, automotive, pharma or other high-volume industries</li><li>
Strong in SQL and Python (or similar) &mdash; able to write clean, efficient, reusable code</li><li>
Experienced working with production data, sensors, or process control systems</li><li>
Analytical mindset with understanding of data modelling, feature extraction and algorithmic thinking</li><li>
Comfortable communicating findings to both technical and operational stakeholders</li><li>
Curious, structured and pragmatic &mdash; you solve real problems, not just analyse them</li></ul>
Nice to have<ul><li>
Background in process engineering, lean manufacturing, or industrial analytics</li><li>
Familiarity with manufacturing software (MES, ERP, SCADA, etc.)</li><li>
Experience integrating analytics into customer-facing workflows</li></ul>
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
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.<ul><li> 
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.</li></ul>
Compensation Range: &euro;50K - &euro;65K</div>

Manufacturing Data Analyst

Distribusion Technologies GmbH

<div>Distribusion 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.
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. 
We are looking for an eCommerce Growth Analyst to join our eCommerce Solutions team to lead data analytics and real-time tracking, ensuring the quality and stability of our rapidly growing white-label solution. 
What you will do:<ul><li>
Performance Optimisation &amp; Analytics: lead site performance optimisation through advanced analytics tools and data-driven insights.</li><li>
Monitoring &amp; Growth Analysis: monitor key metrics such as traffic, user behaviour, and conversion rates to identify growth opportunities and drive continuous improvement.</li><li>
Analytics Tools &amp; Tracking: leverage tools such as Google Analytics, Adobe Analytics, and heatmaps to track, measure, and analyse website performance.</li><li>
A/B Testing &amp; CRO: implement A/B testing and Conversion Rate Optimisation (CRO) strategies to improve user engagement and conversion performance.</li><li>
Cross-Functional Collaboration: collaborate closely with marketing, UX, and development teams to enhance user experience and overall site effectiveness.</li><li>
Tag Management &amp; Data Accuracy: ensure accurate website tracking, including the setup and management of tags in Google Tag Manager for reliable data collection.</li></ul>
Workplace: Germany &amp; Remote // Berlin &amp; Hybrid
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. 
Who you are:<ul><li>
Experience &amp; Background: 4+ years of experience in growth, product optimisation, or similar roles within B2C e-commerce or consumer digital products.</li><li>
Conversion Optimisation &amp; Experimentation: strong hands-on experience improving website and app conversion funnels through experimentation, user behaviour analysis, and data-driven decision making.</li><li>
Analytics &amp; Tools: 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>
Ownership &amp; Problem Solving: strong ownership mindset with the ability to proactively investigate root causes and drive solutions when metrics or user behaviour change unexpectedly.</li><li>
Customer &amp; Product Mindset: customer-focused and curious about user behaviour, with the ability to identify friction points and opportunities to improve conversion and overall experience.</li><li>
Analytical Thinking: ability to turn complex business problems into clear hypotheses, experiments, and actionable product improvements.</li><li>
Collaboration &amp; Ways of Working: comfortable working in Agile environments and collaborating closely with product, design, engineering, and commercial teams.</li><li>
Communication Skills: clear communicator who can work effectively with both technical and non-technical stakeholders.</li><li>
Adaptability &amp; Impact: thrives in fast-moving environments, adapts quickly to ambiguity, and is motivated by driving measurable business impact.</li></ul>
What you can expect:<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> 
Our hiring process for this role:
Your Talent Partner (TP) and point of contact is Benedetta, and the Hiring Manager (HM) is Francesc Ferre. 
For any queries, please contact your Talent Partner at (talent@distribusion.com). 
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? Come join us!</div>

eCommerce Growth Analyst (all genders)

Enpal

<div>Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy&mdash;from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One+, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market.
Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy. 
About the role
A cross-team function that owns how analytics and BI work is done: the practice, quality, and enablement layer that sits across domain teams. Teams continue to own execution and delivery. This role owns the standards, governance, and community support that make that execution consistent and scalable.
This is a player-coach role: it leads the Analytics Excellence Guild and the broader analytics community without formal direct reports. 
What you'll do 
 
BI Practice &amp; Standards<ul><li>
Design and continuously improve the governance model for BI infrastructure (Power BI, Tableau, AI agents), set best practice for contribution and reporting: dashboard style guide, standard templates, quality expectations, delivery recommendations, documentation rules.</li><li>
Drive adoption of these standards across Data &amp; BI and the broader analytics community.</li></ul>
Enablement &amp; Certification<ul><li>
Design and continuously improve the education and certification programme for data users (training materials, documented process).</li><li>
Establish and facilitate formats for community engagement (office hours, meetups, workshops) and provide structured mentorship to analytics engineers, analysts and advanced business users.</li><li>
Continuously improve practice for community management, e.g. automation for data product promotion, feedback collection, community engagement metrics, user activity driven.</li></ul>
Technical Leadership<ul><li>
Review critical designs, Tier-1 data products, and high-usage dashboards and AI agents; advise or execute improvements.</li><li>
Tackle highly complex, cross-team analytics engineering challenges directly. Develop cross-domain reusable data products: dashboards, marts and pipelines serving multiple teams/departments.</li><li>
Surface systemic problems in data quality, tooling, and developer experience and drive their resolution. Seek innovation and continuous improvement of practice.</li></ul>
Scope of Influence<ul><li>
Reviewing Tier-1 assets; advising on quality and design</li><li>
Setting the governance model and enforcement standards within data consumption layer (BI tools, AI agents)</li><li>
Providing community management frameworks and tooling</li><li>
Designing the educational programme, materials, and process for data literacy ramp up</li><li>
Facilitating the Analytics Excellence Guild and community forum</li></ul> 
What you'll bring 
Community &amp; Enablement Leadership (core to this role)<ul><li>
Demonstrated success building and sustaining a technical community, guild, or practice, running formats like office hours, workshops, or mentorship that people actually engage with.</li><li>
Experience designing enablement or certification programmes: training materials, documented processes, and a credible path for ramping up data literacy across varied skill levels.</li><li>
A facilitator's instinct: able to drive adoption, build consensus, and mentor across teams through influence rather than authority.</li><li>
Strong written and verbal communication; able to produce guidance and training material that lands with both engineers and business users.</li></ul>
BI Governance &amp; Standards<ul><li>
Deep, hands-on expertise with at least one major BI platform (Power BI and/or Tableau), including what separates a well-built, maintainable dashboard from a fragile one.</li><li>
Proven ability to translate good practice into durable, adoptable standards: style guides, templates, quality criteria, documentation rules.</li><li>
Comfort defining governance and guardrails that scale across teams without becoming bottlenecks.</li><li>
Familiarity with emerging AI/agent-based analytics tooling and a pragmatic view of how to govern it.</li></ul>
Technical Depth<ul><li>
7&ndash;10 years in analytics engineering, BI, or data roles, with a track record as a strong generalist across the modern data stack.</li><li>
Hands-on capability with dbt and a cloud data warehouse (Snowflake preferred), sufficient to build cross-domain reusable data products and review Tier-1 work credibly.</li><li>
Ability to diagnose systemic issues in data quality, tooling, and developer experience and drive them to resolution.</li></ul>
Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential&mdash;regardless of whether your experience meets every single requirement.
What we offer<ul><li>
Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition.</li><li>
The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.</li><li>
The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities.</li><li>
Grown-up business &amp; startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee.</li><li>
Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you.</li><li>
Stay up to date &amp; help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.</li><li>
The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events.</li><li>
Your extra boost - 29 vacation days + one additional day off on Christmas Eve and New Year's Eve, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance.</li></ul>
At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.</div>

Analytics Excellence Manager (f/m/x)

Explore 79+ Data analytics specialist in Berlin this July. Find roles across top companies and apply now to boost your career.