Role Description The Technical Specialist, MAST Data is responsible for administering and controlling data in the AMOS System and ensuring maintenance and spares data are managed and developed in line with the HA Group’s strategy and core values. The role will work closely with asset, operational and inventory teams, and vessels to ensure data is accurate and maintained to company standards. This ideal candidate should understand customer service and its impact on our ability to deliver a unique and quality product, be willing to embrace all company values and customer service credo, be able to adapt and adjust demeanor to a variety of circumstances, be motivated to excel in all aspects of job duties and responsibilities and be a personable communicator with outstanding social skills and a warm, friendly, and caring personality. - Assists in Amos System for the completion of day to day maintenance change requests from the ships via data management systems (e.g. ADM), ensuring best practices are consistently implemented. - Assists in Amos System for the completion of day to day spares and stocks change requests from the ships via data management systems, ensuring best practice consistently implemented. - Assists in Amos system the progressive standardization of spares / asset hierarchies and maintenance structures across all operating groups. - Assists in Amos system for the registration or creation of spares / asset registrations, hierarchies and maintenance structures for new build ships. - Assists and makes the necessary adjustments or changes of data in AMOS as directed by AMOS Supervisor. Qualifications - Minimum of 5 years of experience within maintenance management, inventory management or inventory control. - Working knowledge of shipboard or warehouse technical spares / inventory operations. - Minimum 3 years of experience in spare requisitioning, monitoring, and associated analytics. - Amenable to work in a shifting schedule (day shift/mid shift in PHT). Requirements - Able to demonstrate strong detailed analytical skillset. - Intermediate level knowledge of Microsoft Office, particularly Excel and PowerPoint. - Excellent verbal and written communication in English. - Working knowledge of AMOS or similar WMS/ERP. - Ability to work in complex organizations under ambiguous circumstances with minimal supervision. - Able to multi-task with an understanding of project priorities. - Able to work with a diverse set of people from multiple countries.

Role Description As a Data Analyst (HR), you will play a key role in shaping data-driven decision-making across our People function. By building scalable data models and delivering impactful dashboards, you will provide transparency on workforce dynamics and enable strategic planning. Working closely with HR and business stakeholders, you translate complex people data into actionable insights that support organizational growth and performance. Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Technology, Economics, HR Analytics, or a related field - 4+ years of experience as a Data Analyst, Data Scientist, or Analytics Consultant, ideally with exposure to HR, People Analytics, or workforce-related data environments - Advanced proficiency in Power BI Cloud, with a strong understanding of data modeling and semantic layer optimization in a people analytics context - Hands-on experience with Databricks, SQL, and PowerBi, with proven capability in handling large datasets for HR analysis and reporting - Experience with HR systems (e.g., Workday, SAP SuccessFactors) and Jira is a plus Requirements - Lead the design and development of advanced data models in Tabular and/or Databricks to address company-wide HR analytical needs, including models supporting workforce planning, headcount forecasting, retention analysis, and organizational effectiveness - Develop and oversee the implementation of sophisticated Power BI Cloud dashboards that surface key HR and people KPIs (e.g., hiring, attrition, engagement, performance), enabling real-time insights into workforce dynamics - Collaborate with cross-functional stakeholders across HR like Talent Acquisition, HR Service, and HR Business Partnering to align analytics with strategic workforce and organizational objectives - Conduct in-depth people and operational data analysis, identifying trends (e.g., attrition drivers, hiring funnel performance), tracking deviations, and providing clear, actionable recommendations to support leadership - Enhance decision-making processes across the organization by transforming complex people data into compelling narratives tailored to HR and business stakeholders Benefits - Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. - Redcare events: We promote teambuilding through creative team events, and celebrate our successes together at regularly scheduled parties. - Kindergarten Grant: We offer our employees who pay for childcare in kindergarten 100,00 € (total) per month. - Mental health: Get quick professional help from psychologists from nilo if you feel overwhelmed in your personal or professional life. Anonymously and free of charge. - Personal Development: We support and foster your career development through internal & external training and help you grow. - Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. - Sports & Health: We offer a range of opportunities to improve your health, including a membership (M) package at Urban Sports Club, providing a variety of sports offers tailored to your interests.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: Internship Program Overview We are pleased to offer a 10-week full-time Summer Internship Program, tentatively scheduled from 22 June to 28 August, with interns working five days per week. This program reflects our continued commitment to providing meaningful and challenging learning opportunities for students, while supporting the development of a strong and future-ready talent pipeline. Our internship program is designed to deliver a well-rounded intern experience, combining hands-on work exposure with structured learning and engagement opportunities. Interns will gain practical insight into real business operations, work closely with experienced professionals, and contribute to projects that drive impact across the organization. Throughout the program, interns can expect exposure to: - Professional Development – Building functional and technical skills through real project work aligned with the team’s objectives. - Personal Development – Strengthening soft skills such as communication, problem-solving, project management, and presentation skills. - Mentorship Experience – Receiving guidance and career insights from managers and cross-functional leaders, offering exposure to diverse perspectives and potential career pathways. - Engagement Experience – Participating in company activities, initiatives, and intern engagement events that foster collaboration, learning, and connection. This program aims to equip interns with practical experience, professional confidence, and meaningful exposure to the working world, while enabling them to explore potential long-term career interests. What You'll Bring: - Bachelor’s degree in Statistics, Mathematics, Business, Finance, Economics or a related field. - Demonstrated interest in Statistics, Mathematics, or Financial Services (e.g., relevant internships). - Solid programming skills; proficiency with a statistical language such as SQL, R, or Python. - Excellent written and verbal communication skills. - Strong analytical and problem-solving skills. Impact You'll Make: - Assist in conducting projects related to the statistical analysis of data that will address the various phases of the account life cycle. - Assist in preparing detailed documentation specifications such as analysis and research results for internal and external distribution/publication. - Facilitate or perform User Acceptance Test (UAT) to ensure the quality and functionality of data-related projects. - Support the collection, cleaning, and preprocessing of data from various sources to ensure data quality and integrity. - Assist in developing and implementing statistical models to analyze data and generate insights. - Work closely with cross-functional teams to understand their data needs and provide analytical support. - Perform ad hoc analysis and provide data-driven recommendations to support business decisions. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion's Internal Job Title: Intern, Data Science and Analytics

Role Description ProArch is looking for a talented Data Analyst/PowerBI Engineer who will play a crucial role in analyzing data and generating actionable insights for our clients. In this position, you will leverage your expertise in Power BI and data analysis techniques to transform complex data into clear and compelling visualizations and reports. You'll work closely with stakeholders to understand their analytics needs and provide solutions that support informed decision-making. - Design, develop, and maintain interactive dashboards and reports using Power BI and Fabric workspaces - Conduct data analysis to identify trends, patterns, and insights that inform business strategies - Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions - Ensure data accuracy and integrity by implementing quality control processes - Assist in presenting findings and recommendations to stakeholders through effective storytelling - Stay current with industry trends and best practices in data analytics and Power BI Qualifications - Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Statistics) - Proven experience in data analysis and visualization, with a strong focus on Power BI - Strong knowledge of SQL for data querying and manipulation - Experience with data modeling and ETL processes - Excellent analytical and problem-solving skills - Ability to communicate complex data insights clearly to both technical and non-technical audiences - Proficiency in Microsoft Excel and other data analysis tools - A proactive mindset with a focus on continuous improvement and learning Company Description