Are you passionate about supporting business management through sharp financial analysis? Do you have solid experience crunching data and would like to work in one of the fastest growing tech companies in Europe? If so, then please read on!

About the Team

The Marketing Finance & Strategy team is part of Wolt's Finance & Strategy organization, sitting within the Marketplace & Consumer line of business. We own the budget, forecasting, and efficiency tracking for Wolt's entire marketing investment - spanning Discounts & Promos, Customer Acquisition, and Brand Marketing across 22+ countries and three business lines (Marketplace, New Verticals, Commerce Platform). We work closely with Marketing leadership, regional teams, and DoorDash counterparts to make sure every euro of marketing spend is tracked, forecasted, and evaluated.

We're also one of the most AI-forward teams in Wolt F&S - Cursor, Claude Code, Glean, and custom automation are part of how we work every day.

About the Role

We're looking for a Senior Analyst to own the operational and technical backbone of our team. You'll be responsible for our central Marketing Forecasting Tool (MFT), the monthly closing process, weekly forecast uploads, and the data pipeline that powers our Global Marketing Weekly Business Review. Beyond keeping the engine running, your first major mission is to fix the data foundation: reconciling sources, aligning budget versions, and standardizing metric definitions so that all our numbers tie across every document and system.

This is a role with real end-to-end ownership. You won't just support the process - you'll run it.

What you’ll be doing

• Own the MFT end-to-end: a 30-country forecasting tool that is the central hub for all marketing budget data at Wolt
• Run the monthly closing process for both Discounts & Promos and Customer Acquisition Cost, including actuals validation with regional teams
• Execute weekly forecast uploads to our management reporting systems (Pulse/IBM)
• Build and maintain the data pipeline behind the Global Marketing WBR (Snowflake pulls, OKR updates, data QA)
• Be the first point of contact for budget questions from marketing teams across the organization
• Fix known data inconsistencies between our reporting tools and create a single source of truth
• Build new analytical frameworks (Payback/LTV, M2 Retention tracking) from scratch
• Work with AI tools (Cursor, Glean) from day one to automate and improve how the team operates

Our humble expectations 

• Have 3-5 years of experience in FP&A, management accounting, or finance operations, ideally at a tech company or fast-scaling marketplace
• Are advanced in Excel / Google Sheets and can confidently work in complex, multi-tab models
• Have hands-on SQL / Snowflake experience and can write queries, build data pulls, and maintain pipelines
• Have owned a forecasting or budgeting tool end-to-end before - not just contributed, but ran it
• Are comfortable with month-end closing processes: actuals validation, accruals, variance analysis
• Spot when data sources don't tie - and can't let it go until you've found the root cause
• Are fluent in English

Nice to haves:

• Experience with Python or Google App Scripts for automation
• Familiarity with marketing finance (CAC, CPA, D&P, unit economics)
• Interest in AI-assisted workflows - we'll teach you the tools
• German language skills
• Experience in a multi-country or multi-entity finance environment

Please note that we do not accept applications sent by mail. You should submit your application through our careers website in English!

The Role

We are looking for a hands-on Growth Engineer  to design, implement, and manage scalable API integrations that connect HelloFresh with external partner ecosystems including telecoms, financial providers, loyalty programs, and health/wellness platforms.

This role combines technical execution (building and deploying APIs, data workflows, and automation) with project ownership (defining requirements, managing partners, ensuring delivery).

You will own integrations from design to production, delivering end-to-end partner connectivity that enables subscription bundling, loyalty rewards, account linking, and nutrition data exchange, all while maintaining reliability, compliance, and a seamless customer experience.

What You'll Do

• Integration Implementation: Build and maintain RESTful APIs and webhooks to connect HelloFresh with partner platforms for loyalty rewards and account linking.

• Execution & Support: Develop automation scripts and data workflows to handle recurring syncs and reporting for partner programs.

• Technical Documentation: Maintain high-quality API documentation and partner developer guides to ensure smooth onboarding.

• Reliability: Troubleshoot issues, manage error handling, and ensure the performance of existing integrations.

• Collaboration: Work cross-functionally with Product, Data, and Finance teams to implement business logic for revenue-sharing or benefit application.

What You’ll Bring

• Technical Skills: * Solid experience with RESTful API development (Python/Node.js—familiarity with FastAPI is a plus).

  • Good understanding of OAuth2, webhooks, and how to manage secure data exchange.

  • Experience using API testing tools like Postman and documenting work via Swagger.

  • Familiarity with AWS (containers) and working knowledge of SQL/NoSQL databases.

• Preferred Experience: * Interest or previous exposure to B2B SaaS, fintech, or subscription-based platforms.

  • Familiarity with tools like Snowflake, Contentful, or N8N is a bonus.

• Soft Skills: 

  • Ownership Mindset: A proactive approach to completing tasks and ensuring code quality.

  • Organizational Skills: The ability to manage multiple integration tasks and meet deadlines in a fast-paced environment.

What we offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with a German language learning budget, and access to the HelloFresh Academy.
• Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days. 

We are HelloFresh

At HelloFresh we embrace and welcome diversity and we currently employ over 15,000 individuals globally who contribute to this. We employ individuals based on their ability to perform a job rather than on the basis of their: race, national origin, color, caste, social origin or position, gender, gender expression, sexual orientation, religion, age, disability, political opinion, marital status or any other characteristic. We encourage everyone to apply and will give everyone equal consideration. We are an equal opportunity employer – everyone is welcome at our table.

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours. 

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

GetYourGuide is looking for a Salesforce Developer to join our Go-To-Market tooling team to be the technical developer on our Salesforce platform. This is a high-ownership role focused primarily on integrations between Salesforce and the broader GYG ecosystem & AI-based Applications, and on Salesforce DevOps ( release pipelines, environment management, and code quality).
A smaller portion of the role involves maintaining existing Apex triggers / Invocable actions (where needed).

You will work closely with our GTM Lead & Solutions Architect (who owns end-to-end solution design) and Salesforce Admins (who own flows, configuration, and declarative automation), so you can stay focused on code, integrations, and platform setup.

Your mission

• Build integrations between Salesforce and internal/external systems — REST/SOAP, platform events, middleware, and event-driven sync with our data platform, GTM tools, and AI applications.
• Own Salesforce DevOps — CI/CD (Gearset / GitHub Actions) , source-driven development, sandbox strategy, and release management.
• Maintain and improve existing Apex code and triggers — test coverage, performance, and best practices (governor limits, bulkification, security...).
• Partner with the GTM Solutions Architect to turn solution designs into scalable implementations, flagging technical risks and simpler alternatives early.
• Support Salesforce Admins on the config-vs-code boundary — advising on flows vs. Apex and unblocking work that requires a developer.
• Champion code quality, security, and observability — code reviews, integration health monitoring, and incident response.

Your toolkit

• 4+ years of hands-on Salesforce development (Apex, LWC, SOQL/SOSL, metadata API).
• Strong integration background — REST/SOAP, platform events, or middleware (MuleSoft, Workato, Tray, custom services)
• Salesforce DevOps experience — SFDX, Git-based workflows, and a release management tool ( Gearset or equivalent).
• Comfortable as the sole developer on the platform — sets technical direction, prioritizes pragmatically, collaborates well with a Solutions Architect and admin team.
• Strong communication skills and ability to work directly with non-engineering stakeholders.

Extras that give you an edge

• Working knowledge of Salesforce Sales Cloud is a plus.
• Salesforce certifications (Platform Developer I/II, Application Architect track) are a plus but not required.
• Integrating Salesforce with a modern data platform (Snowflake, BigQuery, dbt, Kafka, Databricks).
• Familiarity with marketplace, supplier, or B2B sales business models.
• Exposure to GDPR / SOC 2 requirements in a Salesforce context.

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. 

#LI-Hybrid

Your Responsibilities

Vendor Lifecycle & Operational Relationship Management

• Own the end-to-end third-party operational lifecycle, from initial onboarding and technical integration to continuous monitoring and eventual offboarding.
• Build and maintain strong, strategic relationships with key external partners, acting as the primary point of escalation for operational bottlenecks and service disruptions.
• Collaborate closely with Compliance, Procurement and Legal teams to ensure operational readiness and compliance requirements are met during the vendor selection and renewal phases.

Digital Operational Resilience & DORA Compliance

• Lead the implementation and ongoing management of ICT third-party risk management controls in strict alignment with DORA requirements.
• Maintain an accurate and up-to-date Register of Information detailing all ICT third-party service dependencies.
• Partner with InfoSec, Compliance, and Risk teams to conduct regular vendor risk assessments, evaluate concentration risks, and ensure third parties participate in required operational resilience testing (e.g., TLPT).
• Develop and maintain joint business continuity plans, robust vendor escalation matrices, and incident management protocols, ensuring alignment with DORA’s incident reporting mandates.

Performance & SLA Monitoring

• Define, implement, and track rigorous KPIs and SLAs for all third-party providers.
• Conduct regular Quarterly Business Reviews (QBRs) and performance audits with key vendors to ensure continuous improvement and strict adherence to service availability targets.
• Design and maintain operational dashboards (e.g., via Looker, Tableau) to monitor vendor performance, dependency health, and risk metrics in real-time.

Process Optimization & Integration

• Design seamless operational workflows that integrate third-party services into our internal value chain without friction.
• Transition reactive, detective vendor controls into automated, preventive systems to build stronger system-based safeguarding mechanisms.
• Map and document product setups and process dependencies, ensuring the exact impact of third-party outages on customer orders is clearly understood and mitigated.

Your Profile

• Experience: 5+ years of experience in Operations, Vendor Management, or Third-Party Risk Management (TPRM), specifically within a regulated financial, FinTech, or SaaS environment.
• Regulatory knowledge (DORA): particularly its pillars relating to ICT third-party risk management, incident reporting, and resilience testing.
• Risk & Controls: Deep understanding of vendor due diligence, SLA formulation, and transitioning operational controls from detective to preventive models.
• Analytical Skills: Highly data-driven with the ability to build performance metrics and utilize data visualization tools [e.g., Looker, Snowflake, Excel/Google Sheets] to monitor vendor health.
• Stakeholder Management: Exceptional communication skills with the ability to collaborate effectively with technical teams, compliance officers, C-level executives, and external partners.
• AI: Early adopter of AI productivity tools with a keen interest in how emerging AI governance impacts third-party risk and ICT resilience.
• Language: Fluent in English and a good command of German (B2).

Join our mission, join our team – and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
• Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
• Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
• Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
• Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
• You are moving from another country or city to join us? We may support your relocation.

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

Team

The Growth Platform Team at Raisin is a cross-functional team enabling Marketing and product teams to scale growth initiatives across web and mobile. The team owns core growth capabilities such as marketing integrations, user tracking, experimentation, bonus management, and attribution models, providing reliable services and data foundations that power growth across markets.

As part of this team, you’ll work on complex integrations and data-heavy systems, collaborating closely with Marketing and B2C stakeholders. The Growth Platform Team is responsible for the underlying services, data pipelines, and integrations that make growth measurable and scalable. If you enjoy building platform foundations with clear business impact, this team offers a high-impact and highly collaborative environment.

Your Responsibilities

• You are responsible for the full E2E delivery cycle: from requirements analysis, effort estimation, through design, implementation, QA, and delivery.
• You nurture an inspiring environment with open communication and a culture of trust.
• You proactively resolve impediments and mitigate risks for your team.
• In case you need to escalate delivery and team risks, you do this in a timely fashion, with a well-articulated solution/mitigation plan.
• You collaborate closely with your team’s Product Manager and Tech Lead.
• You facilitate the team’s work on strategy and planning for the delivery.
• Together with the Product Manager, you drive the OKR process for your team: communication of objectives, KR definition, team commitment, and pairing OKRs with individual target agreements for your engineers.
• You recruit, hire, and onboard engineers into the team.
• You develop both your engineers’ soft- and technical skill-sets according to the company’s goals and needs.
• You craft agreements and individual development plans with every team member, aligned to the team's goals.
• You uncover training opportunities as well as provide coaching for your team.
• You recognize high performance and reward accomplishments.
• You establish and keep strong performance standards for your direct reports.

Your Profile

• You hold a university degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
• You bring at least 1 year of leadership or people management experience, with a strong interest in growing and supporting others.
• You have hands-on experience with Python, SQL, and Snowflake. Familiarity with frontend technologies is considered a strong plus.
• You have solid experience with data modeling and building ETL/ELT pipelines; experience with tools such as Airflow and dbt is a plus.
• You have worked with data analytics and visualization platforms such as Looker, Tableau, or similar tools.
• You are familiar with Data Engineering best practices, including data quality, monitoring, and observability.
• You have experience driving software projects to successful delivery in a collaborative, cross-functional environment.
• You have a strong understanding of the software development lifecycle in a data engineering context, including pipelines, integrations, and data-driven product workflow.
• You are comfortable participating in open discussions around code, architecture, and technical trade-offs.
• You are fluent in English. German language skills are a plus but not required.

Join our mission, join our team – and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
• Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
• Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
• Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
• Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
• You are moving from another country or city to join us? We may support your relocation.

BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +8 million customers who trusted us with over 100B in assets. But we’re striving for more. But we’re striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions. 

WHAT YOU'LL BE DOING

You will join a product delivery team and be responsible for ingesting, modeling, and publishing data to scale our business. You will design and maintain data products, collaborate on success metrics, and ensure interoperability by leveraging a self-service analytics platform and adhering to best practices.

• Working closely with product and business stakeholders to define and build meaningful product metrics
• Developing analytical products such as data models, dashboards, reports and tooling to enable self-serve reporting and analysis for stakeholders.
• Improving our architecture (cloudbased and always evolving) based on what brings the most impact to cost reduction and speed, applying software engineering best practices
• Taking ownership of projects from scoping to delivery and adoption, working autonomously 

WHAT WE'RE LOOKING FOR

• At least 5 years of engineering experience with an analytical mindset
• Solid understanding of architectures, design principles and engineering best practices
• Experience across all stages of the data pipeline: ingestion, transformations, mart creation
• Experience with our tech stack is a bonus: S3/Snowflake/Airflow/Python/DBT

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!

If you’re a passionate problem-solver who loves diving into complex data sets, possesses broad programming savvy and excels at building reliable data pipelines, you’ll love being a data engineer at InterWorks. As part of our Data team, you’ll empower our customers to make well-informed, data-driven decisions. Together, we’ll combine expert application of new software and technologies with a unique perspective on bridging the traditional Business-IT divide. Technical stuff aside, you’ll be part of close-knit and helpful team that delivers nothing but the best work to our customers and each other.

Please note that candidates must be located in Germany and have a valid work permit to be considered.  This is a German based role for native German speakers (and English C1).  

What You’ll Do

• Tackle diverse projects that range in duration from a few days to a few months for clients ranging from local businesses to the Fortune 500
• Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse
• Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning
• Communicate ideas clearly, both verbally and through concise documentation, to various business sponsors, business analysts and technical resources
• Build and implement ETL frameworks to improve code quality and reliability
• Build and enforce common design patterns to increase code maintainability
• Work with disparate data sources (relational databases, flat files, Excel, HDFS/Big Data systems, high-performance analytical databases, etc.) to unify client data

What You’ll Need

Must-Haves:

• Excellent SQL fluency
• Strong ETL proficiency using GUI-based tools or code-based patterns
• Understanding of data-modeling principles
• Passion for delivering compelling solutions that exceed client expectations
• Excellent verbal and written communication
• Strong problem-solving skills
• Business acumen
• A thirst to learn
• Adaptability and flexibility in changing situations
• Strong written and oral communication skills, able to communicate at English and German proficiency at C1 level

What We’d Like You to Have

• Experience with software engineering practices
• Experience with modern data-engineering practices and frameworks
• Experience with integration from semi-structured file and API sources
• Matillion, Fivetran, dbt or other ETL tools
• AWS / Microsoft Azure cloud exposure
• Snowflake / Databricks / Amazon Redshift / Google BigQuery / Azure Synapse

What We Offer

• Work from wherever you want in the region. Choose your work location when not on client site. We are a remote-first company, so we can accommodate almost any home office location 
• You want to keep your carbon footprint small? So do we! That's why every employee in Germany gets a Bahncard 50
• We want you to stay healthy, which is why our employees can enjoy a Wellness Benefit worth €1100 a year to spend on memberships or subscriptions that help us to maintain a healthy body and mind.
• Windows or Mac? 13 inch or 15 inch? Lightweight or heavy-duty? You know what works best for you. Therefore our employees have a wide choice of equipment for their home office, as well as a contribution towards standing desk equipment
• Tech Allowance. To help create the right home environment for you to be comfortable and efficient while working, we offer a Tech Allowance to cover accessories and furniture.
• We InterWorkers like to use our powers for good. As well as undertaking pro bono consulting work, we support our colleagues’ individual charitable passions with dedicated time off for volunteering
• Competitive salaries with room for advancement. Expected Salary range: €60-100K

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

Senior Analytics Engineer 

Communication has changed for people. It’s changed for businesses, too.

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

#LI-Hybrid

Wir bei Capgemini Invent glauben, dass unterschiedliche Perspektiven den Wandel vorantreiben. Als innovative Transformationsberater vereinen wir unsere strategischen, kreativen und wissenschaftlichen Fähigkeiten und arbeiten eng mit unseren Kunden zusammen, um zukunftsweisende Lösungen zu entwickeln. Hilf uns dabei, den Wandel voranzutreiben, der auf die Herausforderungen unserer Kunden von heute und morgen zugeschnitten ist. Informiert und validiert durch Wissenschaft und Daten. Verstärkt durch Kreativität und Design. Und das alles auf der Grundlage von Technologien.

Deine Rolle

• Arbeite in einem Team aus erfahrenen Daten- und KI-Architekten im Data & AI Platform Architecture für die Entwicklung skalierbarer Datenplattformen und KI-gestützter Unternehmensarchitekturen, um die Unternehmen in datengetriebene Organisationen transformieren
• Gestalte innovative Projekte zur Daten- und KI-Transformation in Unternehmen entlang der gesamten Datenwertschöpfungskette: Von der Datenstrategie über Governance, Architekturdesign und Plattformentwicklung bis hin zur Implementierung und Automatisierung datengetriebener Geschäftsprozesse
• Übernimm Verantwortung für strategische und technologische Arbeitspakete in Transformationsprojekten, die Unternehmen dabei unterstützen, eine moderne, skalierbare und zukunftssichere Datenarchitektur zu etablieren
• Mapping von Datenmanagement-Technologien und -Fähigkeiten auf Geschäftsprozesse und Use Cases und Entwicklung strategischer Datenplattformen zur effizienten Nutzung und Verwaltung von Unternehmensdaten

Dein Profil

• Einen herausragenden Studienabschluss mit wirtschaftlicher, technischer oder informationstechnologischer Ausrichtung, wie zum Beispiel MINT, Wirtschaftsinformatik, Statistik/Data Science
• 4-5 Jahre praktische Projekterfahrung in der Konzeption und Umsetzung von in Daten und KI-architektur, Data & KI Plattformen oder Data Engineering
• Fundierte Erfahrungen in Enterprise Data & AI Management, Strategie & Governance sowie idealerweise in einem oder mehreren der folgenden Bereiche: Data Governance, Datenkatalog, Datenintegration, Datenmodellierung, Datenarchitektur, Datenprodukten, Datenqualität und Datenmanagement
• Kenntnis oder Zertifizierung von DCAM oder DAMA wäre optional
• Fundierte Kenntnisse von etablierten Cloud-Infrastrukturen (z. B. AWS, Azure, GCP) und/ oder von Analytics & Data Platform Architecture, insbesondere mit Snowflake, Databricks, Google BigQuery, Redshift und/oder Data Governance-Technologien (z. B. Collibra, Informatica)
• Spaß an der Kombination von technologischem Verständnis, strategischer Analyse und Umsetzungsarbeit
• Fähigkeit, strukturiert und präzise in Wort und Schrift zu kommunizieren in komplexen technischen und geschäftlichen Zusammenhängen
• Tiefes Verständnis für datengetriebene Transformation, KI-gestützte Geschäftsmodelle, Data-Driven Decision Making und Agentic AI
• Hohe Zuverlässigkeit, Teamgeist und Fit für eine weltweit führende Managementberatung
• Ausgeprägte Präsentations- und Moderationsfähigkeiten sowie sehr gute MS-Office-Kenntnisse
• Exzellente Deutsch- und Englischkenntnisse

Was du bei uns schätzen wirst

• Arbeit an strategischen und technologischen Datenprojekten mit globalen Unternehmen
• Kollaboration mit internationalen Teams und führenden Experten im Bereich Data & AI
• Transparente Karriereperspektiven mit klaren Entwicklungspfaden
• Individuelles Training & Weiterbildung durch unser globales Expertennetzwerk
• Flexible Arbeitsmodelle und moderne Work-Life-Balance

Über Capgemini

Capgemini ist ein globaler Business- und Technologie-Transformationspartner für Organisationen. Das Unternehmen unterstützt diese bei ihrer dualen Transformation für eine stärker digitale und nachhaltige Welt – stets auf greifbare Fortschritte für die Gesellschaft bedacht. Capgemini ist eine verantwortungsbewusste, diverse Unternehmensgruppe mit einer über 55-jährigen Geschichte und 340.000 Mitarbeitenden in mehr als 50 Ländern. Kunden vertrauen auf Capgemini, um das Potenzial von Technologie für die ganze Breite ihrer Geschäftsanforderungen zu erschließen. Capgemini entwickelt mit seiner starken Strategie, Design- und Engineering-Expertise umfassende Services und End-to-End-Lösungen. Dabei nutzt das Unternehmen seine führende Kompetenz in den Bereichen KI, generative KI, Cloud und Daten sowie profunde Branchenexpertise und sein Partner-Ökosystem. Die Gruppe erzielte 2024 einen Umsatz von 22,1 Milliarden Euro.

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours!

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

Growth Data Products (GDP) drives GetYourGuide's growth engine by transforming raw marketing data into reliable, self-service insights and automated decision systems. Our work spans every growth channel—Paid and Organic Search, Display Advertising, CRM and Lifecycle Marketing, Brand Marketing, Marketing Attribution, Experimentation, and Customer Lifetime Value measurement. We empower teams across the organization to make faster, smarter decisions at scale, turning data into actionable intelligence that fuels our mission to connect millions with unforgettable travel experiences.

Your mission

• Define, develop, and fully own data products that drive measurable revenue impact across all GDP domains.
• Translate growth strategies into technical roadmaps, aligning multiple squads and stakeholders around clear, measurable business outcomes.
• Design, deploy, and monitor production machine learning pipelines in Python and Databricks to support bidding, targeting, and personalization use cases.
• Raise the technical standard by introducing best practices, code quality standards, and robust observability within the data science and engineering teams.
• Champion a culture of experimentation through A/B test design, causal-inference analysis, and frameworks for rapid iteration.
• Advance customer lifetime value and attribution models that guide multi-million euro marketing investments.
• Drive cross-functional collaboration to ensure data products deliver tangible business value and strategic impact.

Your toolkit

• Proven track record as a Staff or Principal Data Scientist (or equivalent) delivering cross-functional products that deliver significant business value.
• Market and growth experience is essential, with strong domain knowledge in marketing analytics, customer acquisition, or revenue optimization.
• Mastery of Python, SQL, and modern big-data tools such as Spark and Databricks, with comfort in shipping production-grade machine learning services.
• Deep expertise in statistical testing, causal inference, and online experimentation frameworks.
• Hands-on experience in marketing growth areas like paid search, CRM, or attribution modeling.
• Advanced degree in a quantitative field (such as Statistics, Computer Science, Mathematics, Economics, or Physics) or equivalent practical experience.
• Strong communication skills that enable you to influence both technical and non-technical audiences across the organization.

Extras that give you an edge

• Experience with cloud orchestration and CI/CD technologies such as AWS, Airflow, or Kubernetes.
• Familiarity with Snowflake, MLflow, or large-scale feature-store architectures.
• A record of mentoring senior individual contributors and fostering a culture of psychological safety across teams.
• Publications or conference presentations on topics like large language models, agentic AI systems, or marketing technology innovation.

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in-office collaboration (Mon, Tue, Thur) and two days of optional at-home focus time.
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. 

#LI-Hybrid

About the Role

We are looking for an experienced Senior Analytics Engineer to join our cross-functional product engineering team. In this role, as part of a modern, product-centric technology organization working with agile methodologies, you will play a key role in shaping and building analytics capabilities that turn complex music usage and copyright data into meaningful and reliable insights.

By driving the design and evolution of high-quality data models, enabling reliable business metrics, and delivering trusted data insights, you will help music societies and publishers better understand their data and accurately compensate songwriters and composers when their music is used around the world.

While the primary focus of the role is analytics engineering, this position also offers exposure to data engineering, including working with ETL/ELT pipelines, data ingestion to ensure reliable and scalable data flows that support analytics and reporting needs.

Key Responsibilities:

• Partner with stakeholders to translate complex business questions into scalable data models and analytics products, owning the delivery and quality of those products within a cross-functional team.
• Design and deliver impactful dashboards and reporting solutions providing clear insights for business stakeholders.
• Design scalable analytics data models and transformation pipelines, and define reusable datasets, business metrics, and semantic layer components used for reporting and analysis.
• Collaborate with platform and data engineers to design, improve, and scale ETL/ELT pipelines.
• Continuously optimize data workflows and transformations for performance, scalability, and cost efficiency.
• Ensure high standards of data quality and reliability across analytics datasets, pipelines, and reporting layers by implementing validation checks and monitoring.
• Ensure documentation, lineage, and dataset definitions are complete and consistently maintained across analytics assets.
• Contribute to the design and improvements of analytics platform architecture by proposing different approaches to the use of warehouses, reporting tools, and analytics services within the team.
• Mentor and support business users in effectively leveraging data visualization and analytics tools.

Requirements and Qualifications:

Required

• Strong SQL expertise and extensive experience designing scalable data models in modern data warehouses.
• Deep understanding of data modeling principles, including dimensional modeling and star schemas.
• Proven hands-on experience working with Snowflake data warehouse.
• Strong understanding of ETL/ELT architecture and data ingestion pipelines.
• Experience building data transformation pipelines within a modern data platform.
• Experience building dashboards and reports in BI tools.
• Proven experience building business-facing dashboards and reporting solutions.
• Strong analytical and problem-solving skills.
• Familiarity with AWS cloud platform.
• Experience with Python or other scripting languages for data processing or automation.
• Experience working with containerized environments (e.g., Docker) to support development and deployment of data pipelines and services.
• Ability to write clean, maintainable, and modular code.
• Experience using GitHub in collaborative development environments.

Nice to Have

• Experience with AWS QuickSight / Quick Suite.
• Experience implementing data quality monitoring and validation frameworks.
• Hands-on experience building data ingestion pipelines.
• Exposure to AI-enabled analytics solutions, such as systems that allow users to query data using natural language.

We’re a global team of over 400 people, working together to push the boundaries of open-source technology and multi-cloud solutions. Our vision is to help developers, builders, and creators bring their ideas to life with speed and simplicity, by providing a cloud data platform that makes open-source databases, search, streaming, and application infrastructure easily accessible to everyone. 

The Role:

We are looking for a Senior Product Manager to build Aiven’s managed Analytics offering, bringing together Clickhouse, Kafka and Postgres, for a seamless, cloud-native experience.

You will define and drive the strategy, roadmap and execution for how customers deploy, scale and operate analytics workloads across major cloud providers in more than 150 regions, globally.

What You'll Do:

• Own vision, strategy and roadmap for Aiven’s Analytics suite
• Develop a deep understanding of target customers and translate their needs into differentiated product capabilities.
• Partner closely with engineering to prioritize investments, balance new features with reliability and operability and deliver measurable customer value.
• Lead product discovery, validation and iteration using modern discovery practices.
• Drive alignment with Product, Solution Architecture, Technical Account Management, Design and Marketing.
• Enable GTM success through strong product positioning, packaging, and thought leadership.
• Identify growth opportunities, define success metrics, and build business cases for investment.
• Stay on top of market trends in Analytics and act as an Ambassador in the ClickHouse Developer community.

What We're Looking For:

• At least five years of experience as a product manager/product owner for B2B Analytics products
• At least 3 years of practitioner experience as a data analyst/engineer with one or more more of these products: Postgres/Kafka/Clickhouse/Snowflake/Databricks 
• Deep knowledge and experience with the APIs and infrastructure to support SaaS-based applications
• Familiarity with the SaaS business model, ideally for mission-critical applications
• Hands-on experience with modern product discovery techniques to validate user needs and solutions
• Strong understanding of modern cloud infrastructure and cloud unit economics

Amazing! What’s next:

If you think Aiven is the place for you and that our Values align with yours, send us your resume and we’ll get in touch!

Global Benefits:

Our global benefits are designed to help you thrive and grow, personally and professionally:

• Participate in Aiven’s equity plan.
• Balance work and life with our hybrid work policy.
• Choose the equipment you need to set yourself up for success.
• Use your Professional Development Plan budget for learning opportunities.
• Receive holistic wellbeing support through our global Employee Assistance Program.
• Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time)
• Enjoy country-specific benefits for our global cast.

How to Recognize and Avoid Employment Scams:

There has been a rise in fake job postings used by scammers to get personal information. At Aiven, all of our emails relating to recruitment come from an @aiven.io, @greenhouse.io or @eu.greenhouse.io domain and all of our interviews are conducted by video call or in person.  Our interviews will never occur via text or chat. If you’re unsure of the legitimacy of a job opportunity/offer pertaining to Aiven, please don’t hesitate to reach out to us at recruitment@aiven.io.

Equal Opportunities:

Aiven provides equal employment opportunities to all qualified employees and applicants for employment without regard to age, gender identity, national or ethnic origin, religion, sexual orientation, physical and mental ability, marital and family status or without regard to any other similar personal attributes. Aiven complies with applicable local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, training and any other terms and conditions related to employment.

At Aiven we are committed to providing reasonable accommodations for qualified individuals with disabilities or special needs in our working environment and job application procedures. We make all reasonable accommodations for persons with disabilities or who otherwise need support to thrive in the workplace. We are committed to continuously improving workplace accessibility. There is an option to request a discussion in the application process but if you have any questions before applying please write to us at recruitment@aiven.io.

#LI-Hybrid

JOIN YOUSICIAN

Yousician impacts and enriches the lives of millions of people by empowering them to play music they love, learn something new, and nourish their well-being with something meaningful. We merge music and tech to amplify the everyday. We reimagine the way people learn to play so that everyone can play. 

And, you don't need to be a musician to join Yousician! 

We’re a band of passionate professionals who love what they do, are great at it, and move to the beat of the same drum. We’re for all players — from newbies to seasoned pros. If you are looking for a rewarding career opportunity that helps shape the future of music-tech, you’re in the right place!

WHY YOU SHOULD APPLY

We’re looking for a Senior Marketing Data Analyst to own and elevate marketing analytics across Performance Marketing and CRM, spanning both app and web.

This is a highly impactful individual contributor role for someone who thrives in complex environments and enjoys bringing structure, clarity, and insight where systems and standards are still evolving. You will be the primary analytical partner for Performance Marketing & CRM, with broad ownership over measurement frameworks, reporting, experimentation, and decision support.

You’ll play a critical role in helping us improve marketing efficiency by improving attribution, standardizing metrics, enabling better spend decisions, and connecting acquisition efforts to long-term subscriber value.

WHAT YOU’ll DO

• Own performance and CRM analytics across channels (Google, Meta, TikTok, Braze, etc.), app and web, from acquisition through subscription, retention, and LTV.
• Ensure consistent implementation, validation, and reporting of marketing performance metrics, in alignment with definitions and priorities set by leadership.

• Build, improve, and maintain attribution frameworks (multi-touch, incrementality-focused approaches) and support the development of MMM and predictive LTV/CAC models in collaboration with Data Science.
• Identify and address inconsistencies in tracking, event definitions, and conversion logic across platforms, operating systems and channels.

• Design and evaluate experiments to measure incrementality of channels, campaigns, creatives, and CRM initiatives.
• Partner with Performance Marketing and Creative to shape testing roadmaps and interpret results into clear budget and creative decisions.

• Build and evolve dashboards and reporting that move beyond surface-level reporting and actively inform decisions (e.g. spend vs. targets, efficiency vs. scale trade-offs).
• Translate complex analyses into clear, actionable recommendations for Performance Marketing, CRM, Monetization, Product, and senior leadership.

• Work closely with Performance Marketing, CRM, Design, Product, and Finance to support planning, forecasting, and quarterly growth initiatives.
• Help establish a strong, insight-driven decision culture within the Growth organization.

• Contribute to defining best practices for marketing data pipelines, documentation, and analytical standards in a growing, evolving data setup.
• Identify gaps in tooling, processes, and data quality, and proactively propose pragmatic solutions.

WHO YOU ARE

• 7+ years of experience in marketing or growth analytics for consumer apps or digital products, ideally subscription-based.
• Deep hands-on expertise in marketing measurement, including attribution models, incrementality, MMM concepts, cohort-based LTV analysis, and experimentation.
• Strong understanding of app and web tracking, including limitations, discrepancies, and common pitfalls.
• Advanced SQL skills and extensive experience working with marketing platforms (Google Ads, Meta, TikTok, etc.) and BI tools (e.g. Looker, GA4, Tableau).
• Experience with MMPs such as Adjust or AppsFlyer.
• Experience working with CRM data and tools (e.g. Braze), including lifecycle and retention analysis.
• Strong statistical intuition and data storytelling skills. You make complexity understandable and useful.
• Comfortable operating autonomously, setting structure where little exists, and influencing senior stakeholders.
• Business-minded and outcome-oriented. You care about impact, not vanity metrics.
• Excellent communication skills in English.

NICE TO HAVE

• Experience in mobile subscription or freemium app environments.
• Proficiency in Python, R, or similar analytical environments.
• Experience working with modern data warehouses such as Snowflake or BigQuery.
• Exposure to building analytics foundations or scaling marketing analytics in fast-growing organizations.

WHAT WE OFFER

• You’ll have an opportunity to join our international team, backed by the top VC’s and competing with the best education applications in the world 
• You'll have a meaningful and profound impact on the lives of millions of musicians and future musicians all around the world.
• You’ll get to work with a passionate and friendly growing band of PMs, designers, developers and data scientists.
• You'll get a competitive compensation package - salary, perks- and work in an awesome office in the heart of Berlin.

HOW TO APPLY

Send us your application and CV (in English). Let's make the world a more musical place together! #rockon

ABOUT US 

Yousician is the world’s largest music-tech company, with millions of users worldwide. Based in Helsinki, Finland, Yousician is home to the category-defining Yousician and GuitarTuna apps. Yousician, the #1 platform to learn and play music, makes learning fun, easy, and more accessible for everyone. Yousician’s innovative, award-winning technology listens to you play and gives instant feedback. With interactive, gamified lessons and songs, and courses by world-famous artists like Metallica, Billie Eilish and more, Yousician empowers people to play music they love. Today Yousician employs 110+ professionals from nearly 30 nationalities. 

We're hiring, so come join our amazing team and help us make the world a more musical place!

SHAPING MUSIC TOGETHER - WITH EVERY VOICE 

At Yousician, we’re on

a mission to make musicality as common as literacy, and key to that is building a team as diverse as the people we serve. As part of our ongoing journey towards building a diverse, equitable and inclusive culture and in accordance with our core values, we welcome applications from all individuals, regardless of background, age, race, color, ethnicity, religion, disability, gender, sexual orientation, family status, education, socioeconomic status or any other characteristic. People with severe disabilities will be given preference if equally qualified.

If you have a disability, special needs, or require any specific needs or support during the application process, please feel welcome to inform us and we’ll gladly provide the support you need during the application and interview process.

We’re here to make music more accessible and that includes the path to joining

our team.

CANDIDATE PRIVACY

Here at Yousician, we take your privacy seriously. We only process your personal data for recruiting purposes. You can read more about candidate privacy in our Privacy Notice. 

As a Senior Growth Analyst at Readdle, you'll own the numbers behind how Spark grows and proactively discover opportunities and validate the impact of initiatives. From the first ad impression to long-term renewals, you'll make sense of the data, design event structures, and ensure everything is measurable. You'll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to discover product & growth opportunities, trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve reports that enable stakeholders to answer key questions with data and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design, sequence, and monitor A/B experiments and feature launches; validate results and ensure statistical rigor & consistent long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with discoveries from data and impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with measurement vendors to meaningfully track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience working on user acquisition, pricing, monetization, and/or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau/Looker/etc. for reporting and complex data visualization and product analytics tooling. Amplitude/Mixpanel/Heap/Hotjar/PostHog for event/property tracking and user journey tracking.
• Experience with marketing attribution platforms (Appsflyer/Adjust/Kochava/etc.); familiarity with Python/R for data analysis and automation. Experience with ML or time-series inference is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), marketing analytics (incl. attribution, MMM, incrementality testing, etc.), statistics, experimentation, and experience with segmentation and modeling churn or LTV. Demonstrable advanced analytics experience (causal inference, quasi-experiments, linear programming, econometrics, etc.) is highly advantageous for the role.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Solid business acumen. Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.

Wir bei Capgemini Invent glauben, dass unterschiedliche Perspektiven den Wandel vorantreiben. Als innovative Transformationsberater vereinen wir unsere strategischen, kreativen und wissenschaftlichen Fähigkeiten und arbeiten eng mit unseren Kunden zusammen, um zukunftsweisende Lösungen zu entwickeln. Hilf uns dabei, den Wandel voranzutreiben, der auf die Herausforderungen unserer Kunden von heute und morgen zugeschnitten ist. Informiert und validiert durch Wissenschaft und Daten. Verstärkt durch Kreativität und Design. Und das alles auf der Grundlage von Technologien.​

Deine Rolle​

• Mitarbeit an strategischen und technologischen Projekten im Kontext Cloud & AI für globale Unternehmen​
• Unterstütze Transformationsprojekte mit dem Fokus auf Cloud als Basis für AI entlang der gesamten Wertschöpfungskette: von Strategie und Architekturdesign über die Implementierung bis hin zum Rollout eines Produktivsystems​
• Mitarbeit bei der Konzeption und Implementierung Cloud-basierter Plattformen für GenAI & Agentic-AI in enger Zusammenarbeit mit Technologiepartnern​
• Arbeite in einem interdisziplinären Team aus erfahrenen Cloud- und AI-Experten an der Entwicklung skalierbarer Lösungen​
  ​

Dein Profil​

• Einen sehr guter Studienabschluss mit Schwerpunkt in der (Wirtschafts-)Informatik oder vergleichbar​
• Erste Projekterfahrung (1-3 Jahre) im Bereich Analytics & AI​
• Erste praktische Erfahrung in der Arbeit mit Cloud-Infrastrukturen (AWS, Azure oder GCP)​
• Kenntnisse in den Grundlagen der Software-Entwicklung ​
• Erfahrung mit Analytics-Plattformen (Snowflake, Databricks) sowie Governance-Technologien (Collibra, Informatica) von Vorteil​
• Spaß an der Kombination von technologischem Verständnis, strategischer Analyse und Umsetzungsarbeit​
• Fähigkeit, strukturiert und präzise in Wort und Schrift im Kontext komplexer technischen Zusammenhängen zu kommunizieren​
• Ausgeprägte Präsentations- und Moderationsfähigkeiten sowie sehr gute MS-Office-Kenntnisse​
• Leidenschaft für die Arbeit mit Daten & KI sowie technologischen Innovationen​
• Sehr gute Deutsch- und Englischkenntnisse, Flexibilität und Reisebereitschaft​
• Hohe Zuverlässigkeit, Teamgeist und Fit für eine weltweit führende Managementberatung​

Was du bei uns schätzen wirst​

• Werde Teil einer international führenden Unternehmensberatung, die durch innovative und wegweisende Projekte, globale Teams und digitales Know-How die Zukunft gestaltet ​
• Treibe innovative Transformationsprojekte in zukunftsweisenden Branchen und widme dich visionären und strategischen Entwicklungen​
• Erlebe unser kontinuierliches Engagement für Chancengleichheit, Vielfalt und Inklusion ​
• Entwickle dich in unserem wissensorienterten Umfeld, das durch unsere auf Mitarbeiter:innen ausgerichtete Unternehmenskultur geprägt ist​
• Profitiere von unseren Benefits zur optimalen Work-Life-Balance mit attraktiven Angeboten rund um Gesundheit & Wellbeing, Zusatzpaketen rund um Mobilität sowie modernen Offices​
• Individuelles Training & Weiterbildung durch unser globales Expertennetzwerk​
• Transparente Karriereperspektiven mit klaren Entwicklungspfaden​

Über Capgemini​

Capgemini ist ein globaler Business- und Technologie-Transformationspartner für Organisationen. Das Unternehmen unterstützt diese bei ihrer dualen Transformation für eine stärker digitale und nachhaltige Welt – stets auf greifbare Fortschritte für die Gesellschaft bedacht. Capgemini ist eine verantwortungsbewusste, diverse Unternehmensgruppe mit einer über 55-jährigen Geschichte und 340.000 Mitarbeitenden in mehr als 50 Ländern. Kunden vertrauen auf Capgemini, um das Potenzial von Technologie für die ganze Breite ihrer Geschäftsanforderungen zu erschließen. Capgemini entwickelt mit seiner starken Strategie, Design- und Engineering-Expertise umfassende Services und End-to-End-Lösungen. Dabei nutzt das Unternehmen seine führende Kompetenz in den Bereichen KI, Cloud und Daten sowie seine profunde Branchenexpertise und sein Partner-Ökosystem. Die Gruppe erzielte 2023 weltweit einen Umsatz von 22,5 Milliarden Euro.​

Wir freuen uns über deine vollstän­dige Be­wer­bung ausschließlich über unser Bewerbungsportal und unter Angabe deiner Ge­halts­vor­stel­lung, des frühest­mög­lichen Ein­tritts­zeit­punkts sowie deiner Standortpräferenz.