credits data business analyst

RP Group

<div>About the role:
In this pivotal role, you will act as a bridge between business and IT, translating business needs into effective BI solutions using a variety of analysis and reporting tools. You will work closely with key stakeholders to understand and leverage Landal&rsquo;s datasets, establish standards and templates, and promote best practices across the organization. 
 
Develop and maintain high-quality analytics data models, BI reports, and semantic layers that power data-driven decisions across Finance, Commerce, and Operations. The Analytics Engineer works hands-on in Databricks, DBT, and Power BI to translate raw data into reliable, well-documented assets contributing to our Customer 360 initiative, marketing attribution models, and cost-to-LTV analytics under the guidance of the Lead Analytics Engineer.
What will you do:
As a Analytics Engineer at Landal, you will play a key role in bridging the gap between business and IT, helping our organization make data-informed decisions at both strategic and tactical levels.
In this role, you will:<div><ul><li>
Build and maintain DBT data models in Databricks, ensuring data quality, performance, and documentation standards are met.</li></ul></div><div><ul><li>
Help integrating customer touchpoints across marketing, commerce, and operations.</li></ul></div><div><ul><li>
Support the development and maintenance of multi-touch attribution (MTA) models and assist in laying the groundwork for MMM.</li></ul></div><div><ul><li>
Develop and maintain Power BI dashboards, semantic models, and metric definitions that serve business stakeholders.</li></ul></div><div><ul><li>
Write and optimise SQL transformations and work with Data Engineers on ingestion pipelines across Azure and GCP.</li></ul></div><div><ul><li>
Follow version control, CI/CD, and documentation standards using Azure DevOps and Git.</li></ul></div><div><ul><li>
Work closely with the Lead Analytics Engineer and business stakeholders to translate requirements into analytics solutions.</li></ul></div><div><ul><li>
Proactively monitor data accuracy and flag integrity issues in analytical models.</li></ul></div>
This position offers a dynamic mix of hands-on development and advisory responsibilities, allowing you to have a real impact on the organization&rsquo;s data-driven decision-making.
Your work location is our new office on Wibautstraat in Amsterdam. Of course, working from home is possible, but it is desirable that you work from the office at least 3 days a week.
For this position, we can only consider applicants who are already residing in the Netherlands and hold a valid work permit.
This is you:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field such as Computer Science, Business Information Management, Engineering, or a related discipline;</li><li>A minimum of 2 years of relevant experience as a Data Analyst or Analytics Engineer;</li><li>Ideally you have some understanding of AI applied analytics, such as Databricks Genie;</li><li>Proven experience in querying, analyzing, and managing large datasets;
</li><li>Advanced proficiency in BI and analytics tools such as Power BI, DBT, Databricks, Power Apps, or similar;
</li><li>Strong experience in dashboard development and data visualization, with understanding of data relationships;
</li><li>SQL proficiency and experience with Data Modeling (Kimball) and Semantic Models;
</li><li>Hands-on experience creating comprehensive business reports and interactive dashboards; Ability to translate complex business requirements into technical BI solutions;
</li><li>Analytical skills for interpreting critical and complex data sets.</li></ul>
Come work with us, as this is what we offer!<div><div><div><div>
Together, we go all out to offer the best to our guests and colleagues. If you join us, your efforts will be rewarded with:<ul><li>
An annual contract with a trial period of one month, whereby we would of course ultimately be happy to employ you permanently.</li><li>
A salary between &euro;3.600,- and &euro;5.100,- gross per month on a full-time basis*.</li><li>
A bonus scheme.</li><li>
27 days' holiday for a full-time working week* with the option to purchase 10 additional days off.</li><li>
Flexible working hours and the possibility of (partly) working from home.</li><li>
Working from home allowance of &euro;2,40 per home working day.</li><li>
A travel allowance in accordance with the Landal travel allowance scheme based on &euro;0,23 cents per km. If you decide to travel by public transport, your travel costs will be 100% reimbursed.</li><li>
Training and education options.</li><li>
Participation in the Recreation pension fund. The standard retirement date in this scheme is 67 years. The premium for this old-age pension is 21.8% of the pension basis, with Landal and you each paying half.</li><li>
Possibility of paid additional maternity and parental leave.</li><li>
Various group insurance policies, including free continuous travel insurance for you and your family.</li><li>
A favorable staff booking scheme.</li></ul><ul><li>A full-time employment contract at Landal has a 38-hour working week, which is equivalent to a 5-day working week. If you have a part-time employment contract, your salary and vacation days are calculated pro rata.</li></ul></div></div></div></div></div><div></div>

Data Analyst

<div>Company Description 
Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today&rsquo;s world of change and disruption, optimism is a force multiplier. 
Job Description 
The Amsterdam Data Science team is diverse, dynamic, and rapidly growing. You will collaborate closely within multidisciplinary teams, applying advanced analytics and machine learning techniques to solve complex business problems and deliver impactful solutions. Our flat structure encourages initiative, entrepreneurial spirit, diversity, well-being, and knowledge sharing so that we grow together.
Responsibilities
As a Data Science Consultant, you will collaborate with our Data Scientists, Data Engineers, and Consultants on various client projects in multidisciplinary teams. You will use advanced analytics, machine learning, and GenAI techniques to solve complex business problems and deliver impactful solutions.
Responsibilities include:<ul><li>
Collaborate with colleagues to identify business challenges and extract actionable insights from data.</li><li>
Develop and implement statistical models, optimization solutions, and advanced machine learning techniques.</li><li>
Apply Generative AI and large language models to create innovative solutions.</li><li>
Clearly present analytical results and assist in facilitating client workshops.</li></ul>
Your profile<ul><li>
Motivated, analytical, and eager to learn.</li><li>
Thrive in collaborative, multidisciplinary environments.</li><li>
Clear communicator, comfortable translating complex technical concepts into actionable recommendations.</li></ul> 
Qualifications<ul><li> 
Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.</li><li>
1 to 3 years of relevant professional experience.</li></ul><ul><li>
Strong coding skills in Python and at least one additional analytical language (e.g., R, SQL).</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
Solid knowledge of Machine Learning techniques, optimization methods, and Generative AI.</li><li>
Previous exposure or interest in cloud platforms (AWS, Azure, GCP) is a plus.</li><li>
Fluent in English and Dutch, both written and oral. Additional languages are considered advantageous.</li></ul>
What we offer<ul><li>
Training and development opportunities to advance your expertise.</li><li>
A supportive environment with structured mentorship and personalized training opportunities.</li><li>
Opportunities to participate in international projects.</li><li>
Flexible working hours and performance-based promotion.</li><li>
Competitive salary, bonus, and benefits package (health insurance, pension).</li></ul> 
Additional Information 
We are unable to provide a work permit for this position.
Non-Dutch speakers will unfortunately not be accepted.
Sia is an equal opportunity employer. Employment decisions&mdash;including hiring, promotion, remuneration, or disciplinary actions&mdash;are based solely on performance, competence, conduct, and business needs.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Data Science Consultant

Devoteam

<div>Bedrijfsomschrijving 
Who are we?
We are Devoteam, an AI-driven tech consultancy with more than 11,000 tech experts spread across 25 countries in Europe and the Middle East. At Devoteam, we strongly believe in the power of technology, with AI at the heart of our approach. We partner with leading providers such as Google, Microsoft, AWS, and ServiceNow. In the Netherlands, we have around 300 experts and specialize in Cloud, Cyber, Data, and AI.
With us, you become part of a group of Tech Enthusiasts in a culture where making mistakes is allowed and where everyone&mdash;from bright young talents to experienced rockstars&mdash;is encouraged to continuously innovate and grow. We are a community that is proud of who you are and helps you get the best out of yourself. We are allergic to unnecessary hierarchies and excessive processes. At Devoteam, the only constant is 'change'. 
Vacatureomschrijving 
We are seeking a talented and passionate Databricks Data Engineer to join our expanding Microsoft Databricks team. In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-driven decision-making.
Responsibilities:<ul><li>
Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.). Optimize pipeline performance for efficiency and cost-effectiveness.</li><li>
Databricks Ecosystem Expertise: Utilize the full capabilities of the Databricks platform, including Databricks SQL, Delta Lake, Databricks Runtime, and Databricks Workflows, to orchestrate complex data workflows and ensure data quality and pipeline reliability.</li><li>
Cloud Integration: Seamlessly integrate Databricks with cloud services (Azure, AWS, or GCP) for storage, compute, and security, leveraging services like Azure Data Lake Storage, AWS S3, Google Cloud Storage, and more.</li><li>
Data Architecture and Modeling: Contribute to the design and implementation of robust data models and architectures for data lakes and data warehouses, ensuring data consistency, integrity, and accessibility for various use cases.</li><li>
Data Quality Assurance: Implement rigorous data quality checks and validation procedures throughout the data pipeline to maintain high accuracy and reliability. Adhere to data governance policies and best practices.</li><li>
Collaboration and Communication: Work closely with data scientists, analysts, business intelligence specialists, and business stakeholders to understand their data requirements and provide technical expertise on Databricks and data engineering best practices.</li><li>
Continuous Learning: Stay up to date with the latest Databricks features, cloud technologies, and data engineering trends to continuously improve our solutions and deliver innovative results for our clients.</li></ul> 
Functie-eisen<ul><li> 
Hold a University Degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI.</li><li>
Proven Experience: 2+ years of experience as a Data Engineer with demonstrated expertise in Databricks.</li><li>
Cloud Proficiency: Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP), with a good understanding of cloud data services and infrastructure.</li><li>
Programming Skills: Strong programming skills in Python or Scala, with experience in data manipulation libraries (e.g., PySpark, Spark SQL).</li><li>
Data Fundamentals: Solid understanding of data warehousing principles, ETL processes, data modeling techniques, and database systems.</li><li>
SQL Expertise: Advanced SQL skills for data querying, transformation, and analysis.</li><li>
Communication Skills: Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.</li><li>
Problem-Solving: Strong analytical and problem-solving abilities, with a proactive approach to identifying and resolving data-related challenges.</li><li>
Proficiency in Dutch is a big plus.</li></ul> 
Aanvullende informatie 
At Devoteam, we invest in our people. Our benefits package includes:<ul><li>
Excellent primary and secondary employment benefits (excellent salary, bonus, lease car, laptop, phone, etc.).</li><li>
A personalized career development plan with specific training and certifications tailored to your field.</li><li>
Every opportunity to grow as a thought leader through knowledge sharing, blogs, and keynote sessions.</li><li>
The unique option to work from within Europe for 4 weeks per year.</li><li>
A vibrant internal community with knowledge sessions, ranging from bi-weekly Tech Thursdays to KISSes (Knowledge &amp; Information Sharing Sessions).</li></ul>
We look forward to welcoming you into our open and accessible culture! Are you ready for your next challenge? Apply today!
Questions? Please contact Casper Posch at nl.recruitment@devoteam.nl.</div>

Databricks Data Engineer

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 
Job Description 
What you will do 
As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Global.
Your responsibilities include:<ul><li>
Leading an internal team towards the development of AI products;</li><li>
Working in a multidisciplinary team on client projects as an expert on your subject;</li><li>
Making architectural and design decisions for cloud environments;</li><li>
Building production level ML/AI solutions with solid software engineering;</li><li>
Guiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping);</li><li>
Giving trainings, leading internal meetings and organizing external events;</li><li>
Participating in team meetings and workshops with clients;</li><li>
Writing blog articles, presenting at conferences and sending out press releases on the subject that you lead.</li></ul>
Who you will work with 
The Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sharing inside the team, so that we can grow together.
Who you are<ul><li>
You are an established technical professional that wants to make the next step in their career, taking on more leadership responsibilities.</li><li>
You have first-rate project management and time management skills.</li><li>
You are a true problem solver, you turn complex issues into simple and impactful business solutions.</li><li>
You are enthusiastic for applying Data Science/Engineering solutions to business problems.</li><li>
You have excellent communication skills and can present complicated concepts in a synthetic way.</li><li>
You have the ability to adapt rapidly and work on a range of different business areas within a challenging environment.</li><li>
You have the ability to work collaboratively in a team environment.</li></ul>
In return, you can expect:<ul><li>
An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.</li><li>
A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged</li><li>
A personal development plan with a regular follow-up as well training opportunities to develop yourself</li><li>
A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,...</li></ul> 

Qualifications 
<ul><li>
MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study.</li><li>
2-4 years of experience in building production-quality ML/Deep Learning pipelines and models.</li><li>
Good understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP).</li><li>
Expert coding skills in Python and at least one of these languages: Scala, C++, Java.</li><li>
Hands-on experience with database management languages (e.g., SQL, PostgreSQL).</li><li>
Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure).</li><li>
Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes).</li><li>
Hands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks).</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
Experience with coaching/mentoring other engineers.</li><li>
Prior experience in Management Consulting is a strong plus.</li><li>
Willingness to travel and work at local and international clients.</li><li>
Fluency in spoken and written English and Dutch is required.</li></ul> 

Additional Information 
We are unable to provide a work permit for this position
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Machine learning Engineer

Levy Professionals

<div>ABOUT YOU

You are a Data Scientist with a passion for Generative AI and a strong engineering mindset. You enjoy turning business challenges into scalable AI solutions and thrive in collaborative environments where innovation, ownership, and continuous learning are encouraged. You are comfortable working across the full lifecycle of AI products, from experimentation and model development through to deployment and production support, while keeping business impact at the centre of your work.

WHAT ARE YOU GOING TO DO
<ul><li>Design, build, test, deploy, and maintain scalable Generative AI solutions in production environments</li><li>Work closely with business stakeholders to understand challenges and translate them into impactful AI-driven solutions</li><li>Develop reusable GenAI components and contribute to the adoption of AI capabilities across multiple business domains</li><li>Collaborate with engineers, product specialists, and fellow data scientists to deliver high-quality and responsible AI applications</li><li>Contribute to MLOps, LLMOps, automation, monitoring, and continuous improvement of AI solutions</li></ul>

AN IDEAL PROFILE WOULD BE
<ul><li>5+ years of experience as a Data Scientist or in a similar role with strong Python development skills</li><li>Experience with NLP, LLMs, Generative AI applications, and model development, deployment, and monitoring</li><li>Strong engineering capabilities including Git, CI/CD, APIs, cloud platforms, containerisation, ETL processes, and database technologies</li><li>Experience working with MLOps, LLMOps, DevOps, and cloud-based production environments such as Azure</li><li>Strong communication skills with the ability to collaborate across technical and non-technical stakeholders while coaching and sharing knowledge with others</li></ul>

Contract Duration: Until December 2026, possibility for an extension

Work Model: Hybrid (2 days in office)

Sponsorship: Yes

Open to ZZP as well.

Tick all the boxes? Then smash that button and let&rsquo;s have a chat.

ABOUT US: 
Levy is an international IT staffing organization providing recruitment and project resourcing services to companies ranging from start-ups to well established global players across the UK, Holland, Germany, Belgium, and the USA. By partnering with our clients, we provide tailored interim and permanent IT staffing solutions to help them deliver their initiatives across applications and infrastructure, touching areas such as Digital, Data, Cloud, Cybersecurity and ERP.</div>

Data Scientist (Agentic AI)

Accenture

<div>THE WORK
The energy transition is one of the biggest engineering challenges of our time. At Accenture Industry X, we help energy companies and grid operators build smarter, more resilient electricity networks through the power of digitalization, data and engineering expertise.
As a Consultant &ndash; Grid Planning &amp; Modelling Engineering, you will work with leading transmission and distribution system operators to solve complex grid challenges and prepare networks for a more sustainable future. From addressing grid congestion to planning network expansions and integrating renewable energy sources, your work will directly contribute to shaping tomorrow's energy landscape.
This is a role for engineers who enjoy combining technical expertise with problem-solving, innovation, and client collaboration.
What You'll Do
Shape future energy networks 
Support utilities and grid operators in planning and designing future-proof electricity networks that can meet increasing demand and accelerate the energy transition.
Solve complex grid challenges 
Analyze and address issues such as grid congestion, network reinforcement, grid reconfiguration and renewable energy integration.
Develop digital and automated solutions 
Help clients modernize and automate grid planning and modelling processes, improving efficiency, accuracy and decision-making.
Turn data into meaningful insights 
Leverage modelling results and data analytics to support investment decisions, planning studies and operational improvements.
Work alongside industry experts 
Collaborate with experienced engineers, consultants and technology specialists on innovative projects across the energy sector.
Grow your career in consulting 
Develop your technical, consulting and project management skills while taking on increasing responsibilities and opportunities for leadership.
WHY JOIN US?<ul><li>
Work on projects that have a real impact on Europe's energy transition.</li><li>
Collaborate with leading transmission and distribution system operators.</li><li>
Combine engineering expertise with cutting-edge digital technologies.</li><li>
Learn continuously through training, certifications and hands-on project experience.</li><li>
Be part of a collaborative and diverse team that values innovation, flexibility and personal growth.</li></ul>
WHO WE ARE
At Industry X, we help organizations reinvent how they engineer, operate and transform their businesses.
By combining engineering, digital technologies, data and industry expertise, we help clients become more sustainable, efficient and future-ready. Our teams work at the intersection of technology and industry, solving complex challenges that create tangible business and societal impact.
Within our Energy practice, we partner with some of Europe's most influential energy organizations to accelerate the transition toward a cleaner, smarter and more reliable energy system.
Ready to make a difference? The time for change is now.</div>
 
<div>HERE'S WHAT YOU'LL NEED<ul><li>
Master&rsquo;s degree in Electrical Engineering, Systems Engineering, Energy Technology, Industrial Engineering or a related discipline.</li><li>
2+ years of experience in power systems, grid planning, power network analysis or grid operations.</li><li>
Knowledge of transmission and distribution network planning principles.</li><li>
Experience with grid modelling methodologies and engineering studies.</li><li>
Strong analytical and problem-solving skills.</li><li>
Ability to work independently while collaborating effectively within multidisciplinary teams.</li><li>
Customer-focused mindset with strong communication and stakeholder management skills.</li><li>
Fluent in Dutch and English, both written and spoken.</li></ul>
BONUS POINTS IF YOU HAVE<ul><li>
Experience with load flow calculations, stability studies or dynamic power system analysis.</li><li>
Hands-on experience with grid modelling tools such as PowerFactory, NEPLAN, Integral or similar platforms.</li><li>
Experience automating grid planning or modelling activities.</li><li>
Knowledge of scripting, data analytics, machine learning or AI applications in the energy sector.</li><li>
Familiarity with European energy regulations, market structures and grid codes.</li><li>
Certification in Agile, PRINCE2, PMP or other project management methodologies.</li><li>
Experience in a consulting or client-facing environment.</li><li>
Experience managing stakeholders and translating technical concepts into business value.</li></ul>
For More Senior Candidates<ul><li>
Demonstrated experience leading client engagements and technical workstreams.</li><li>
Experience developing proposals, managing delivery teams and supporting business growth.</li><li>
Proven ability to coach and mentor junior engineers and consultants.</li></ul>
Don't Meet Every Requirement?
That's perfectly okay. We're looking for curious, motivated people who are passionate about engineering and the energy transition. If you're excited about this role and believe you can make an impact, we encourage you to apply.</div>

Consultant Grid Planning and Modelling

PRACYVA

<div>
 
 We are seeking an experienced
 
 Senior AS400 Engineer
 
 to join the DevOps team. The role focuses on maintaining, enhancing, and supporting AS400 (IBM i) applications while ensuring business continuity and operational stability. The ideal candidate will have strong expertise in RPG development, production support, DevOps practices, and legacy system modernization.
 
 
 
 Key Responsibilities
 
 
 
 
 Application Development &amp; Maintenance
 
 
 <ul>
 <li>
 Maintain, enhance, and support existing AS400 (IBM i) applications.
 </li>
 <li>
 Develop fixes and new enhancements for legacy applications.
 </li>
 <li>
 Perform code analysis, debugging, and application optimization.
 </li>
 <li>
 Ensure high application availability and business continuity.
 </li>
 </ul>
 
 
 Production Support
 
 
 <ul>
 <li>
 Perform incident triage, troubleshooting, and issue resolution.
 </li>
 <li>
 Conduct Root Cause Analysis (RCA) for production issues.
 </li>
 <li>
 Manage ITSM tickets while meeting SLA, MTTR, and incident reduction targets.
 </li>
 <li>
 Support batch jobs, job scheduling, and system monitoring.
 </li>
 </ul>
 
 
 Technical Leadership
 
 
 <ul>
 <li>
 Mentor junior engineers and provide technical guidance.
 </li>
 <li>
 Act as Team Lead whenever required.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure smooth project delivery.
 </li>
 </ul>
 
 
 Integration &amp; Legacy Systems
 
 
 <ul>
 <li>
 Support integrations between AS400 and enterprise systems such as SAP, POS, and logistics platforms.
 </li>
 <li>
 Analyze APIs, data flows, and system dependencies.
 </li>
 <li>
 Work with custom-built ERP and legacy applications.
 </li>
 </ul>
 
 
 Modernization &amp; DevOps
 
 
 <ul>
 <li>
 Support AS400 modernization initiatives and SAP S/4HANA migration programs.
 </li>
 <li>
 Contribute to DevSecOps initiatives and improve deployment processes.
 </li>
 <li>
 Understand coexistence strategies during AS400 to SAP transitions.
 </li>
 <li>
 Support monitoring, observability, CI/CD, and release management practices.
 </li>
 </ul>
 
 
 Required Technical Skills
 
 
 
 
 AS400 / IBM i
 
 
 <ul>
 <li>
 RPG III
 </li>
 <li>
 RPG IV
 </li>
 <li>
 RPG ILE
 </li>
 <li>
 RPG Free Format
 </li>
 <li>
 CLP Programming
 </li>
 <li>
 LANSA
 </li>
 <li>
 DB2/400 (DB400)
 </li>
 <li>
 Embedded SQL
 </li>
 </ul>
 
 
 System Knowledge
 
 
 <ul>
 <li>
 AS400 Job Processing
 </li>
 <li>
 Batch Processing &amp; Scheduling
 </li>
 <li>
 Database Design
 </li>
 <li>
 File Systems &amp; Data Structures
 </li>
 <li>
 Legacy ERP Systems
 </li>
 <li>
 Custom Applications
 </li>
 </ul>
 
 
 Production Support
 
 
 <ul>
 <li>
 Incident Management
 </li>
 <li>
 Root Cause Analysis (RCA)
 </li>
 <li>
 ITSM Tools
 </li>
 <li>
 Ticket Management
 </li>
 <li>
 SLA &amp; MTTR Management
 </li>
 </ul>
 
 
 Good to Have Skills
 
 
 <ul>
 <li>
 SAP S/4HANA Migration
 </li>
 <li>
 Legacy System Modernization
 </li>
 <li>
 Automation Tools
 </li>
 <li>
 AI-Assisted Troubleshooting
 </li>
 <li>
 Knowledge Graph &amp; Documentation Tools
 </li>
 <li>
 DevOps Practices
 </li>
 <li>
 Monitoring &amp; Observability
 </li>
 <li>
 CI/CD
 </li>
 <li>
 Release Management
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to work with poorly documented legacy systems.
 </li>
 <li>
 Experience in reverse engineering applications.
 </li>
 <li>
 Strong stakeholder management and collaboration skills.
 </li>
 <li>
 Ability to work with Business SMEs, SAP teams, vendors, and multi-vendor environments.
 </li>
 <li>
 Ownership mindset with a strong focus on system stability and business continuity.
 </li>
 <li>
 Quick learner with the ability to understand complex legacy applications.
 </li>
 </ul>
 
 
 Key Performance Indicators (KPIs)
 
 
 <ul>
 <li>
 SLA Compliance
 </li>
 <li>
 MTTR (Mean Time to Resolution)
 </li>
 <li>
 Incident Reduction
 </li>
 <li>
 Escalation Management
 </li>
 <li>
 DORA Metrics
 </li>
 <li>
 Change Deployment Rate
 </li>
 <li>
 Business Continuity &amp; Operational Stability
 </li>
 </ul>
 
 
 
</div>

AS400

Explore 25+ Credits data business analyst in Amsterdam this July. Find roles across top companies and apply now to boost your career.