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data analytics engineer ii

qa analyst

Diligent

<div>Position Overview:

Diligent is looking for a talented QA Analyst to improve the quality of Diligent products. The QA Analyst is part of a cross-functional agile team and involved in every step of the software testing life cycle, from planning to releasing the product.

Key Responsibilities
<ul>
<li>Demonstrates entry level technical capabilities</li>
</ul><ul><li>Ability to complete smaller stories independently, more complex ones with guidance from senior members of the team</li>
</ul><ul><li>Curious and high potential for learning and growing as an engineer.</li>
</ul><ul><li>Understand the process and keep the Flow healthy.</li>
</ul><ul><li>Understands specifications, can draw up test scenarios, create regression test cases and updates test cases as needed.</li>
</ul><ul><li>Executes test cases and analyses test results. Interrogating failed scenarios and accurately record defects following them through to resolution.</li>
</ul><ul><li>Use AI tools to enhance productivity:</li>
</ul><ul><li>Use AI tools to automatically generate test scenarios</li>
</ul><ul><li>Speed up the creation of edge case scenarios that might be overlooked manually.</li>
</ul><ul><li>Use AI to query test results, logs, or bug databases using natural language</li>
</ul><ul><li>Automatically generate or update QA documentation</li></ul> 


Required Experience/Skills
<ul>
<li>0-3 years of experience in Software Testing, preferably testing of Web applications.</li>
</ul><ul><li>Experience in working with bug-tracking systems, and version control systems.</li>
</ul><ul><li>Knowledge of testing methods and technologies, understanding of formal software development processes (SDLC)</li>
</ul><ul><li>Flexible analytical and algorithmic thinking, desire for self-development, persistence in finding solutions, and achieving goals.</li>
</ul><ul><li>Awareness of modern AI-enhanced development tools (e.g., GitHub Copilot, ChatGPT, Cody).</li></ul> 


Preferred Experience/Skills
<ul>
<li>Basic programming or scripting skills.</li>
</ul><ul><li>Automation testing experience / Desire to learn.</li>
</ul><ul><li>Experience with CI/CD</li>
</ul><ul><li>Can-do attitude</li>
</ul><ul><li>ISTQB certification</li>
</ul><div>
About Us

Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
<div>
At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you're not just building the future - you're an agent of positive change, joining a global community on a mission to make an impact.</div>

Learn more at diligent.com or follow us on LinkedIn and Facebook 


What Diligent Offers You
<ul>
<li>Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients</li>
<li>We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few</li>
<li>We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.</li>
<li>Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.</li>
</ul>
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability &ndash; to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.

Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community. 


We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.

To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.</div></div>

QA Analyst

Curve Royalty Systems

<div>Curve are looking for an experienced Senior Java Engineer to join our growing organisation. This role will be central to the data engineering team whose purpose is to re-architect our backend financial data mapping and transformation processes into ETL pipelines optimised for cost, speed, accuracy and scalability.

This is a key role within a highly collaborative engineering team, working on systems that process complex royalty, financial and rights-related data at significant scale. You will help shape the next generation of Curve's platform, replacing legacy workflows with robust, testable and scalable Java-based services and data pipelines.

The ideal candidate will be comfortable working across software engineering, data engineering and cloud infrastructure. They will bring strong backend engineering experience, a pragmatic approach to technical decision-making, and the ability to work closely with product, engineering and operational teams to deliver reliable systems that support our clients and their artists, labels, distributors and publishers. 


Responsibilities:
<ul>
<li>Collaborate with stakeholders in the product and engineering teams to shape, deliver and maintain a brand-new Best-in-Class royalties platform</li>
<li>Migrate existing business logic from legacy applications to Java modules running in ETL pipelines scaled to run thousands of concurrent processes</li>
<li>Contribute to the architecture, deployment and optimisation of secure and highly performant infrastructure via IaC and CI/CD pipelines</li>
<li>Contribute to the architecture, development, deployment, support, testing and monitoring of software across test, integration and production environments</li>
<li>Debug software and infrastructure components and identify defects for remediation</li>
<li>Design and coding of Apache Beam pipelines to deliver distributed, scalable and highly performant systems using Java</li>
<li>Help define engineering standards, patterns and best practices for backend Java development and ETL pipeline design</li>
<li>Work with large, complex datasets, ensuring transformations are accurate, auditable and performant</li>
<li>Contribute to technical design discussions, architectural reviews and implementation planning</li>
<li>Build systems with observability, resilience, security and operational support in mind</li>
<li>Support the continuous improvement of our development workflows, deployment processes and engineering tooling</li>
<li>Work closely with QA and Technical Operations teams to ensure software is tested, monitored and supportable in production</li>
<li>Take ownership of technical problems from investigation through to delivery and ongoing improvement</li>
<li>Share knowledge with the wider engineering team through documentation, code reviews, mentoring and collaborative problem-solving</li></ul> 


Requirements:
<ul>
<li>6+ Years software engineering experience at a senior level</li>
<li>Excellent written and verbal communications skills</li>
<li>Significant hands-on experience in enterprise level software development</li>
<li>Solid understanding of ETL processes and implementation</li>
<li>Advanced technical skills in the areas of microservices, APIs and Java</li>
<li>Willingness to learn, coach and mentor</li>
<li>Great team collaboration skills</li>
<li>Ability to take responsibility for the product</li>
<li>Strong understanding of software design principles, clean code, testing and maintainability</li>
<li>Experience designing, building and supporting backend systems in production environments</li>
<li>Comfortable working with cloud-based infrastructure, CI/CD pipelines and modern deployment practices</li>
<li>Experience working with non-relational database technologies, data modelling and large-scale data processing</li>
<li>Ability to balance technical quality with pragmatic delivery in a fast-moving environment</li>
<li>Strong debugging, analytical and problem-solving skills</li>
<li>Comfortable working in a distributed or remote-first team environment</li>
<li>A proactive approach to ownership, communication and continuous improvement</li></ul> 


Experience in the following would be an advantage: 
<ul>
<li>Music Industry / Royalties / Financial Services</li>
<li>Dataflow (Apache Beam), Spark, or similar technologies</li>
<li>JavaScript / Typescript</li>
<li>Google Cloud Platform, AWS or similar cloud platforms</li>
<li>Building systems that require strong auditability, traceability and data accuracy</li>
<li>Working with financial calculations, reporting platforms or revenue allocation systems</li></ul> 
 
About You 

You are a thoughtful and experienced engineer who enjoys solving complex backend and data-processing problems. You care about quality, but you are pragmatic enough to know when to move quickly and when to slow down and get the foundations right.

You are comfortable taking ownership of important technical work, but you also value collaboration and shared understanding. You enjoy working with other engineers, product managers, QA specialists and operational teams to make sure what gets built is useful, reliable and maintainable.

You do not need prior music industry experience, but you should be interested in working on technology that supports independent labels, distributors, publishers and rights-holders. You will be joining a team that values trust, communication, technical curiosity and continuous improvement. 


Why join Curve?

At Curve, you will have the opportunity to work on meaningful, technically challenging systems at the heart of the independent music industry. Our platform supports complex royalty processing, financial data transformation and reporting workflows for a growing global client base.

You will join a growing technology team with a strong focus on engineering quality, collaboration and scalable delivery. This role offers the chance to influence architecture, improve core platform capabilities, and contribute directly to systems that make a real difference for our clients and the creators they represent.</div>

Java Engineer

Elsevier

<div>Product Analyst
About Our Team
The Product Analytics team turns behavioural and product data into insights that help us evaluate product changes, improve user experience and influence product strategy. We work closely with Product Managers, UX Designers, Engineers and senior stakeholders to understand user behaviour and identify opportunities with the greatest customer and business impact.
About The Role
In this role, you will lead the Product Analytics scope for one or more of our fast-growing, innovative, world-leading products.
You will be part of an analytics team of 30+ analysts located in Amsterdam and London, working with product teams and stakeholders across the US, UK and the Netherlands.
Responsibilities:
Understand User Behaviour
Use behavioural and transactional data to measure user journeys, adoption, engagement, retention, conversion and satisfaction. Use techniques such as funnel analysis, cohort analysis, user segmentation and feature adoption to generate actionable insight.
Define Product Success
Partner with Product Managers and other stakeholders to translate customer needs, product strategy and business objectives into clear product goals (OKRs) and success metrics.
Evaluate Product Changes
Design measurement approaches for new product features, launches and iterations (including A/B testing and experimentation), to determine whether changes are driving customer and business outcomes.
Use AI-Assisted Practices
Use AI tools to accelerate analytical workflows, including SQL and Python development, exploratory analysis, visualisation and documentation. Apply agentic working practices by breaking complex questions into clear briefs for AI assistants and applying human judgement and validation checks to ensure results are accurate and useful.
Communicate Insight Clearly
Tell compelling stories with data through concise analysis, presentations, and dashboards. Communicate insights and recommendations effectively to audiences ranging from product squads to senior leadership. Help stakeholders interpret results and make confident, data-informed decisions.
Improve Measurement Quality
Work with Product and Engineering colleagues to ensure the right product data capture is in place. Define tracking requirements that make future product decisions easier and more reliable.
Requirements:
Product Analytics Experience
A minimum of 3-5 years of hands-on experience in Product Analytics, Digital Analytics or a closely related analytical role where you have used data to influence product decisions, feature development or customer experience improvements. Whether you are an emerging senior analyst or a seasoned expert, we would love to hear from you.
Technical Proficiency
SQL and Python/R - Advanced skills for deep-dive analysis, statistical work, and visualisation.
Web Analytics &ndash; Familiarity with / desire to work with Adobe Analytics to analyse user behaviour.
AI Tools &ndash; Experience of tools like ChatGPT / Codex, Microsoft Copilot and Claude Code to accelerate but not replace analytical reasoning.
Familiarity with Snowflake, Tableau, Databricks or similar platforms is useful.
Stakeholder Influence
Ability to work effectively with Product Managers, UX Designers, Engineers and senior stakeholders. Answer strategic questions, advocate a data-driven culture and empower stakeholders to use data well. Challenge assumptions constructively to influence strategy and prioritise product roadmaps to deliver better outcomes.
Communication And Collaboration
Fluent in English, with strong presentation skills. Comfortable working in cross-functional and culturally diverse teams across different locations and time zones.
Growth Mindset
Enthusiasm for learning, curiosity about users and products, and a positive, humble attitude. You are not afraid to ask questions and are comfortable working with ambiguity.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Flexible working hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. 
<ul><li>
 
</li></ul>About Our Company
Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems. Applying customer centricity, product and data best practices, and a passion for excellence, we deliver world-class customer solutions.
Primary Location Base Pay Range: NLD Amsterdam (Radarweg) &euro;40,400 - &euro;67,400. This role is covered by the Collective Labor Agreement Publishing Industry.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Shared Technology Product Analyst

<div>Senior Product Data Analyst 
 
About Our Company
Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems. Applying customer centricity, product and data best practices, and a passion for excellence, we deliver world-class customer solutions. 
 
About Our Team
The Product Analytics team turns behavioural and product data into insights that help us evaluate product changes, improve user experience and influence product strategy. We work closely with Product Managers, UX Designers, Engineers and senior stakeholders to understand user behaviour and identify opportunities with the greatest customer and business impact. 
 
About The Role
In this role, you will lead the Product Analytics scope for one or more of our fast-growing, innovative, world-leading products, such as ScienceDirect. 
 
You will be part of an analytics team of 30+ analysts located in Amsterdam and London, working with product teams and stakeholders across the US, UK and the Netherlands. 
 
Responsibilities 
 
Understand User Behaviour
Use behavioural and transactional data to measure user journeys, adoption, engagement, retention, conversion and satisfaction. Use techniques such as funnel analysis, cohort analysis, user segmentation and feature adoption to generate actionable insight. 
 
Define Product Success
Partner with Product Managers and other stakeholders to translate customer needs, product strategy and business objectives into clear product goals (OKRs) and success metrics. 
 
Evaluate Product Changes
Design measurement approaches for new product features, launches and iterations (including A/B testing and experimentation), to determine whether changes are driving customer and business outcomes. 
 
Use AI-Assisted Practices
Use AI tools to accelerate analytical workflows, including SQL and Python development, exploratory analysis, visualisation and documentation. Apply agentic working practices by breaking complex questions into clear briefs for AI assistants and applying human judgement and validation checks to ensure results are accurate and useful. 
 
Communicate Insight Clearly
Tell compelling stories with data through concise analysis, presentations, and dashboards. Communicate insights and recommendations effectively to audiences ranging from product squads to senior leadership. Help stakeholders interpret results and make confident, data-informed decisions. 
 
Improve Measurement Quality
Work with Product and Engineering colleagues to ensure the right product data capture is in place. Define tracking requirements that make future product decisions easier and more reliable. 
 
Requirements 
 
Product Analytics Experience
A minimum of 4 years of hands-on experience in Product Analytics, Digital Analytics or a closely related analytical role where you have used data to influence product decisions, feature development or customer experience improvements. Whether you are an emerging senior analyst or a seasoned expert, we would love to hear from you. 
 
Technical Proficiency 
 
<ul><li>SQL and Python/R - Advanced skills for deep-dive analysis, statistical work, and visualisation.
</li><li>Web Analytics &ndash; Familiarity with / desire to work with Adobe Analytics to analyse user behaviour.
</li><li>AI Tools &ndash; Experience of tools like ChatGPT / Codex, Microsoft Copilot and Claude Code to accelerate but not replace analytical reasoning.
</li>Familiarity with Snowflake, Tableau, Databricks or similar platforms is useful. 
<li>
</li></ul> 
Stakeholder Influence 
 
Ability to work effectively with Product Managers, UX Designers, Engineers and senior stakeholders. Answer strategic questions, advocate a data-driven culture and empower stakeholders to use data well. Challenge assumptions constructively to influence strategy and prioritise product roadmaps to deliver better outcomes. 
 
Communication And Collaboration 
 
Fluent in English, with strong presentation skills. Comfortable working in cross-functional and culturally diverse teams across different locations and time zones. 
 
Growth Mindset 
 
Enthusiasm for learning, curiosity about users and products, and a positive, humble attitude. You are not afraid to ask questions and are comfortable working with ambiguity. 
 
Work In A Way That Works For You 
 
Wellbeing and happiness are key to a long and successful career, and we promote a healthy work/life balance across the organisation. 
 
With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. 
 
We support flexible working hours, allowing you to fit everything in and work when you are most productive. 
 
Working for you 
 
As this role is global, benefits may vary according to your location. These are some of the benefits we are delighted to offer:
&middot; Health care plans and benefits
&middot; Modern Family Benefits, including maternity, paternity, adoption and surrogacy
&middot; Life assurance and accident policies
&middot; Comprehensive pension and retirement plans
&middot; Access to learning and development resources
&middot; Your recruiter will advise you on the benefits package for your location
This role is covered by the Collective Labor Agreement Publishing Industry.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Senior Data Analyst I

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

What You'll Do
<ul>
<li>Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features</li>
<li>Shape the future of our Android team</li>
<li>Own, maintain and improve reliability metrics for key features</li>
<li>Participate in discussions across different teams - Product, Design, Engineering</li>
<li>Review pull requests, and support other teammates</li>
<li>Handle critical issues or cope with unexpected challenges</li>
<li>Take ownership of feature releases and provide nightly builds for the QA team</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>5+ years of software engineering experience</li>
<li>Familiarity with Android components</li>
<li>Experience building or contributing to at least one Android app</li>
<li>Product design intuition and user empathy</li>
<li>Drive to push the boundaries of Android UI/UX</li>
<li>Understanding of the importance of tests and how to approach writing tests</li>
<li>Self-drive to improve the app and codebase above and beyond what's outlined in the spec</li>
<li>Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests</li>
<li>Excellent communication skills</li>
<li>User oriented problem solving approach</li>
<li>Driven with continuous feedback from leaders</li>
</ul>
Bonus:
<ul>
<li>Experience building, maintaining, or otherwise contributing to open source projects in Android</li>
<li>Experience with iOS, Web or NodeJS</li>
</ul>
Technologies we use:
<ul>
<li>Kotlin</li>
<li>Kotlin Coroutines</li>
<li>Kotlin Flow</li>
<li>Jetpack Navigation</li>
<li>Dagger 2</li>
<li>Room</li>
<li>Custom Views, Canvas &amp; Paint</li>
<li>Jetpack Compose</li>
<li>JUnit</li>
</ul>
What We offer:
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
The Netherlands Based Salary range for this role is: 30,000-120,000 USD/Year + Bonus + Stock depending on experience.

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Tech Lead, Android Core Product - Amsterdam, Netherlands

Invest-NL N.V.

<div>We believe the Netherlands needs to become more sustainable and innovative. Fortunately, there are many entrepreneurs with strong plans for the future. Invest-NL exists to finance and support them. We do this with courage, decisiveness, and enthusiasm. Will you join us?
For the Invest-NL data team, we are looking for a working student who will help our data scientist for advanced analytics projects, and our development team for building our data platform, which will be the single source of truth for reporting and BI.
The data team is still growing and currently consists of six team members including a teamlead, a data scientist, a data engineer, a BI analyst, a PowerBI developer, and a working student.
This is what you will do
As a working student in the data team, you will be directly involved in data analytics and product development projects, under the supervision of our data scientist and data engineer. The responsibilities include:<ul><li>
Assist in the design, implementation and validation of data analytics projects for business stakeholders;</li><li>
Helping with the development of the internal data platform and infrastructure;</li><li>
Collaborate with other colleagues (such as business developers or investment managers) and external parties (such as industry experts) to better understand their requirements.</li></ul> 
Qualifications<ul><li>
Strong foundation in data science concepts;</li><li>
Experience with Python programming;</li><li>
Hands on experience with LLM API/MCPs;</li><li>
Strong communication skills, with the ability to explain complex technical concepts to non-technical colleagues;</li><li>
Strong foundation in data engineering, including SQL, ELT, ETL concepts;</li><li>
Experience with Databricks &amp; GitHub, experience with Streamlit is a plus;</li><li>
Basics in data modelling understanding.</li><li>
Basic understanding of cloud concepts (Azure/AWS/GCP);</li><li>
Ability to work collaboratively in a scrum team environment;</li><li>
Previous experience with project work or internships related to data science or engineering is a plus;</li><li>
Fluent in spoken and written English. (Dutch is a plus).</li></ul>
We offer
As a Working Student within the Data team at Invest-NL, you will work together with a passionate team on building a better future. You can count on a pleasant and open working environment, inspiring work, and plenty of room to develop yourself. Our employment conditions are also attractive:<ul><li>
Salary: &euro;2,400 per month based on a 36-hour workweek;</li><li>
Flexible compensation: A Benefit Budget worth 20.95% of your monthly salary. This consists of 8% holiday allowance, 8.33% year-end bonus, and a personal budget of 4.615% representing above-statutory leave (86.4 hours per year based on a 36-hour workweek);</li><li>
Leave: Attractive and flexible leave arrangements;</li><li>
From A to Sustainable: Sustainable mobility policy, including private use of public transport;</li><li>
For the future: A solid pension plan (including a 2% personal contribution and a high employer contribution, depending on age, ranging from approximately 15% to 35%);</li><li>
Room for social impact: Up to 2 Impact Days per year for volunteer work during working hours;</li><li>
And although not an employment condition, certainly just as important: driven colleagues to work with. Shared lunches twice a week, fun outings, and sporting activities (such as Cycling 4 Climate and padel tournaments).</li></ul>
Are you the one we&rsquo;re looking for?
We would love to receive your application before July 6, 2026! Do you have any questions? Please contact Lucas Erkens at (lucas.erkens@invest-nl.nl). Our selection process consists of two interview rounds. You will receive a response within two weeks after the closing date. We reserve the right to close the vacancy earlier as soon as enough suitable applications have been received.
Invest-NL aims to be an attractive employer for diverse talent that wants to make a difference. We foster a team where you can be yourself, where everyone has equal opportunities, and where people can reach their full potential, regardless of gender, background, age, disability, religion, or sexual orientation. Diverse perspectives and backgrounds make us stronger. This helps us stay connected to society and strengthens our collective thinking power.
Screening is part of the application process and will take place after agreement on employment conditions has been reached.</div>

Working Student Data (24-hours)

Yellowgrape

<div><div><div><div><h2 class="jobSectionHeader">Van voorspelling naar impact: bouw modellen die marketing slimmer maken.</h2></div><div>
&ndash; To be considered for this role, you must already live in the Netherlands. Unfortunately, we are not able to support relocation or applications from abroad &ndash;
&zwj;Ben jij in staat om grote hoeveelheden data om te zetten in waardevolle inzichten? Heb je ervaring met het ontwikkelen van voorspellende modellen en het automatiseren van analyses? Dan hebben wij d&eacute; perfecte job voor jou bij Yellowgrape!
Als Data Scientist speel je een sleutelrol in het ontdekken en voorspellen van trends, gedrag en behoeften. Je werkt aan onderwerpen als Marketing Mix Modelling, attributiemodellering en incrementality testing. Soms betekent dat een model bouwen. Soms betekent het juist dat je een complexe analyse terugbrengt naar &eacute;&eacute;n kraakheldere keuze: doorgaan, bijsturen of stoppen.
Met jouw expertise voeg je waarde toe aan diverse use cases. Je werkt nauw samen binnen het Data &amp; Intelligence team met data consultants, -analysten en -engineers om geavanceerde oplossingen te ontwikkelen die zowel de effici&euml;ntie verhogen als de impact van marketingcampagnes maximaliseren. Bij Yellowgrape krijg je de kans om je stempel te drukken op innovatieve projecten en bij te dragen aan het succes van onze klanten.</div></div></div>
<div><div><div><h2 class="jobSectionHeader">
Waar jij blij van wordt in je rol</h2></div><div><ul><li>
Marketing Mix Modelling om de impact van kanalen en budgetverdeling beter te begrijpen;</li><li>
Attributiemodellering, zodat we verder kijken dan last-click en omzetwaarde eerlijk te verdelen over touchpoints heen;</li><li>
Incrementality testing om te toetsen welke campagnes, kanalen of experimenten aantoonbaar extra waarde opleveren;</li><li>
Predictive analytics voor onder meer klantwaarde, churn, herhaalaankoop en groeikansen;</li><li>
Heldere analyses en visualisaties die marketeers, strategen en klanten direct kunnen gebruiken.</li></ul></div></div></div>
<div></div><div><div><div><h2 class="jobSectionHeader">Zo pas jij goed in deze rol</h2></div><div><ul><li>
Minimaal 2-3 jaar ervaring als Data Scientist, Data Analyst met modelleringsfocus of relevante werkervaring met statistiek of econometrische modellen;</li><li>
Je comfortabel werkt met Python, SQL en data-analyse;</li><li>
Marketingdata interessant vindt en snapt dat context net zo belangrijk is als techniek;</li><li>
Kritisch kijkt naar aannames, datakwaliteit en meetbaarheid;</li><li>
Helder communiceert met zowel technische als niet-technische collega&rsquo;s;</li><li>
Energie krijgt van samenwerken in multidisciplinaire klantteams.</li><li>
Je hebt ervaring met cloud platforms (bij voorkeur Google Cloud-stack);</li><li>
Bekend met Bayesian modelling of andere statistische methoden</li><li>
Vloeiend in Nederlands en Engels (zowel mondeling als schriftelijk);</li><li>
Je wilt graag werken in een organisatie die door cultuur wordt gedreven;</li><li>
Je kijkt ernaar uit om te werken in een betrokken team;</li><li>
Je bent in staat om problemen te identificeren, bespreekbaar te maken en op zoek te gaan naar oplossingen;</li><li>
Je bent minimaal 32 uur per week beschikbaar.</li></ul></div></div></div>
<div><div><div><h2 class="jobSectionHeader">Wat jij van ons mag verwachten</h2><h2 class="jobSectionHeader">
Je zoekt geen baan, je zoekt een plek waar je werk ertoe doet &eacute;n je jezelf kunt zijn. Hier is wat je bij ons mag verwachten.</h2></div><div><ul><li>
Je werkt vanuit ons gezellige kantoor in Amsterdam of Berlijn, beide in het bruisende hart van de stad;</li><li>
Via ons exchange programma kun je tijdelijk switchen tussen Berlijn en Amsterdam, een unieke kans om cultuur en werkervaring te combineren.</li></ul><h5 class="jobSectionHeader">
Groeien als professional &eacute;n als mens</h5><ul><li>
Jij krijgt de ruimte: veel verantwoordelijkheid, vertrouwen en de vrijheid om zelf initiatief te nemen;</li><li>
We coachen je op zowel persoonlijke groei als competentieontwikkeling, zodat je steeds dichter bij je volle potentieel komt;</li><li>
Je werkt met het TMA Talentmanagement programma, waarbij we jouw aangeboren drijfveren en talenten inzetten om jou elke dag in je kracht te zetten;</li><li>
Er zijn volop opleidingsmogelijkheden om te blijven groeien in jouw vakgebied.</li></ul><h5 class="jobSectionHeader">
Een eerlijk salaris &amp; transparante voorwaarden</h5><ul><li>
Je ontvangt een eerlijk en transparant salaris op basis van het Baarda beloningsmodel, afgestemd op je toegevoegde waarde;</li><li>
Amsterdam: 25 vakantiedagen + 8% vakantietoeslag;</li><li>
Berlijn: 28 vakantiedagen;</li><li>
Een Apple MacBook in bruikleen voor je dagelijkse werk;</li><li>
Reiskostenvergoeding en een pensioenregeling, afhankelijk van je standplaats (Amsterdam of Berlijn).</li></ul><h5 class="jobSectionHeader">
Fit, gefocust en vol energie</h5><ul><li>
Elke dag een verse, gezonde lunch op kantoor;</li><li>
Goede koffie? Die komt van een lokale branderij uit Amsterdam: ambachtelijk gebrand en altijd vers</li><li>
Blijf fit met ons sportschool abonnement of doe mee via het fietsplan.</li></ul><h5 class="jobSectionHeader">
Samen werken, samen vieren</h5><ul><li>
We zijn een gecertificeerd 'Excellent Workplace' door 2DAYSMOOD en daar zijn we trots op;</li><li>
Vrijdagmiddagborrels, feestjes op de Yellowgrape-sloep en inspirerende teamuitjes zorgen voor verbinding en plezier;</li><li>
We werken volgens onze eigen holacratische werkwijze: de Yellowcratie. Dat betekent veel autonomie, duidelijke rollen en samenwerken op basis van vertrouwen in plaats van hi&euml;rarchie.</li></ul></div></div></div></div>

Data Scientist

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