summ-it
About the Role Join summ-it as a Data Quality Analyst and become part of a dynamic team that creates innovative solutions for world-renowned brands. If you're passionate about mastering cutting-edge technologies while working in a collaborative, non-corporate environment, this opportunity is perfect for you. At summ-it, we prioritize your professional growth and provide space for your ideas to flourish. Our team members actively participate in industry conferences and IT events, continuously developing their expertise through comprehensive training sessions and workshops. You'll work with massive databases totaling petabytes and optimize systems where every millisecond matters, currently managing over 10,000 database systems for our diverse client portfolio. Key Responsibilities Data Quality Monitoring: Continuously monitor and ensure data quality across multiple systems, reports, and data pipelines to maintain the highest standards of data integrity Test Design and Execution: Design, develop, and execute comprehensive data quality tests focusing on completeness, consistency, accuracy, and validity metrics Cross-System Verification: Perform detailed data verification and reconciliation between different systems, ensuring seamless data flow from source to target environments Data Analysis and Anomaly Detection: Analyze complex datasets to identify data errors, anomalies, and inconsistencies, implementing corrective measures and preventive solutions Cross-Functional Collaboration: Work closely with Data Engineering, Business Intelligence, and business stakeholder teams to investigate and resolve data quality issues efficiently Pipeline Validation: Participate in comprehensive data validation processes within ETL/ELT pipelines, ensuring data accuracy throughout transformation workflows SQL Development: Create, optimize, and maintain complex SQL queries specifically designed for data quality control and validation processes Test Automation: Develop and implement automated data quality testing frameworks using Python and specialized testing tools to improve efficiency and coverage Documentation and Standards: Create detailed documentation of processes, test procedures, and identified issues while supporting the implementation of enterprise data quality standards and best practices Continuous Improvement: Proactively identify opportunities to enhance data quality processes and contribute to the evolution of our data governance framework Requirements Experience: Minimum 3 years of hands-on experience in data testing, data quality assurance, or related analytical roles Azure Databricks Expertise: Strong proficiency in Azure Databricks including notebooks, job scheduling, Spark cluster management, and distributed data processing Azure Data Factory Knowledge: Comprehensive understanding of Azure Data Factory components including pipeline development, dataset configuration, linked services setup, and monitoring capabilities Azure Synapse Proficiency: Working knowledge of Azure Synapse Analytics, particularly Dedicated SQL pools and their optimization Business Intelligence Tools: Experience with tabular models in Analysis Services and Power BI, including data lineage analysis, semantic model development, and connectivity troubleshooting SQL Mastery: Advanced SQL skills for complex data quality verification, test query preparation, and performance optimization ETL Understanding: Solid grasp of Extract, Transform, Load processes, data warehousing concepts, and modern data integration patterns Automation and CI/CD: Hands-on experience with test automation frameworks and CI/CD practices, specifically using Azure DevOps and TestPlans for deployment and testing workflows Communication Skills: English proficiency at minimum B2 level for effective collaboration with international teams and stakeholders Analytical Mindset: Strong problem-solving abilities with attention to detail and capacity to work with large, complex datasets What We Offer Contract Flexibility: B2B contract employment structure providing professional autonomy Exceptional Culture: Join a workplace built on friendship and trust, with over 92% employee satisfaction and 100% team support ratings Technology Access: Work with the latest IT technologies and cutting-edge data platforms in a rapidly evolving field Growth Opportunities: Career advancement within an established international company with diverse project exposure Comprehensive Training: Regular skill development through "Secure Thursdays," "Science Fridays," and external conference participation Vibrant Community: Engaging company events including seasonal parties, AllHands meetings, "Talk to Your Boss" sessions, Local Wednesdays, and team breakfasts Recognition Programs: "summ-it heroes" recognition system and Kudos rewards celebrating outstanding contributions Referral Benefits: Employee referral program encouraging team growth Health and Wellness: Comprehensive benefits package including medical care, MultiSport card access, and group insurance coverage Join our innovative team where your expertise
Trinity College Dublin
About the Role Trinity College Dublin's School of Social Work and Social Policy seeks a dedicated Research Support Officer to strengthen and consolidate research activities within the School. This part-time position (0.7 FTE) offers an exciting opportunity to work at Ireland's leading university, ranked 75th globally, supporting cutting-edge research in social work and social policy. This is a fixed-term contract for 3 years, with the role designed to provide essential administrative support while the School evaluates long-term research support needs. Key Responsibilities Serve as the primary point of contact for academic staff seeking assistance with research grants, funding applications, and project administration Support the implementation and advancement of the School's strategic research agenda Coordinate research project administration from inception through completion, ensuring compliance with university and funding body requirements Assist with grant application preparation, including budget development, timeline management, and documentation coordination Maintain comprehensive records of research activities, funding opportunities, and project outcomes Facilitate communication between researchers, administrative departments, and external funding bodies Support research dissemination activities, including conference organization, publication coordination, and knowledge exchange events Monitor research project timelines and deliverables, providing regular updates to academic staff and management Assist with research impact measurement and reporting requirements Coordinate ethics applications and ensure compliance with research governance standards Support visiting researchers and collaborative partnerships Contribute to the development of research support processes and best practices within the School Essential Requirements Third-level qualification in a relevant field such as social sciences, business administration, or research management Demonstrated experience in research administration, project coordination, or similar administrative roles Strong organizational and project management skills with attention to detail Excellent written and verbal communication skills Proven ability to work independently, show initiative, and resolve problems effectively Experience working with multiple stakeholders and managing competing priorities Proficiency in Microsoft Office Suite and database management Understanding of research funding landscapes and grant application processes Knowledge of university administrative systems and procedures Ability to maintain confidentiality and handle sensitive information appropriately Desirable Requirements Previous experience in higher education or research institution environment Familiarity with social work, social policy, or related academic disciplines Experience with research ethics procedures and compliance requirements Knowledge of EU and Irish research funding schemes Experience supporting academic publication and dissemination activities What We Offer Trinity College Dublin provides a supportive and collaborative working environment within Ireland's most prestigious university. As part of our commitment to work-life balance and creating a family-friendly workplace, we offer flexible working arrangements where possible. The University holds an Athena Swan Silver Award, demonstrating our dedication to gender equality and inclusive practices. Our Values At Trinity, we center our values around belonging, respect, collaboration, accountability, imagination, and environmental sustainability. We are committed to equality, diversity, and inclusion, welcoming applications from all qualified individuals regardless of background, including those with disabilities, non-traditional career paths, family responsibilities, and international candidates. This role offers the opportunity to contribute meaningfully to impactful research in social work and social policy while working alongside distinguished academics and researchers in a historic and innovative university setting.
Universität Wien
About the Role The University of Vienna's Faculty of Psychology is seeking a dedicated University Assistant Predoctoral to join our dynamic Cognitive Psychology research group within the Department of Cognition, Emotion, and Methods in Psychology. This is an exceptional opportunity to pursue doctoral research in an internationally recognized academic environment while contributing to cutting-edge investigations in human perception, attention, and related cognitive processes. As part of our vibrant academic community of nearly 11,000 individuals, you'll join a faculty that serves approximately 3,500 psychology students across Bachelor's, Master's, and PhD programs. Our department is committed to providing comprehensive support and supervision to ensure your successful completion of a PhD thesis through innovative research methodologies. Key Responsibilities Research & Doctoral Studies: Conduct independent research in visual attention, perception, eye-tracking, and related cognitive domains to advance your doctoral dissertation Design, program, and execute behavioral experiments with human participants using state-of-the-art laboratory equipment and online platforms Collect and analyze complex datasets, including electroencephalographic (EEG) and eye-tracking data Develop experimental paradigms as web applications for remote data collection Prepare and submit research findings to ISI-listed, peer-reviewed journals for publication Complete a cumulative dissertation based on at least three manuscripts, with one accepted for publication prior to thesis submission Finalize dissertation agreement within 12-18 months of appointment Enroll in the Vienna Doctoral School in Cognition, Behavior and Neuroscience (VDS CoBeNe) Teaching & Academic Service: Independently conduct undergraduate and graduate courses within collective bargaining agreement provisions Supervise student research projects and provide academic mentorship Contribute to curriculum development and pedagogical innovation Utilize e-learning platforms and modern teaching methodologies Administrative Duties: Support departmental research initiatives and collaborative projects Participate in faculty meetings, committees, and academic governance Assist with grant applications and research project management Contribute to laboratory maintenance and equipment calibration Requirements Essential Qualifications: Completed Master's degree or Diploma in Psychology, Biology, Computer Science, or Linguistics Demonstrated computational expertise in multiple programming languages and analytical tools Strong proficiency in Python (numpy, pandas, scikit-learn, PyTorch), R (Tidyverse), or Julia Experience with statistical analysis software and research methodologies Academic writing experience and familiarity with scientific publication processes Fluency in both English and German (C1 level English required) Excellent interpersonal and communication skills Technical Skills: Proficiency in JavaScript/HTML/CSS, Docker, GNU/Linux, SQL, JASP, and LaTeX Experience with neuroimaging analysis tools (Nipype/Nilearn, FSL, SPM, Freesurfer) Knowledge of Microsoft Office suite and academic software platforms Ability to develop and deploy web-based experimental applications Desirable Qualifications: Previous experience with EEG recording and analysis Eye-tracking methodology expertise Background in perception, memory, or language research Didactic experience and e-learning competencies Demonstrated problem-solving abilities and autonomous working style Interest in emerging interdisciplinary research fields What We Offer Professional Development: Comprehensive supervision and mentorship for doctoral studies Access to over 600 internal training courses and coaching programs Opportunity to work with cutting-edge research equipment and methodologies International collaborative research opportunities Career guidance and academic networking support Work Environment: Flexible, family-friendly working arrangements including remote/hybrid options Part-time work opportunities upon agreement Inspiring international academic atmosphere Healthy and fair working environment promoting work-life balance Modern facilities in central Vienna with excellent public transportation access Employment Terms: 30-hour weekly position with competitive compensation 3-year initial contract (Predoc Contract Model 1: initially 1.5 years, automatically extended to 3 years if not terminated within first 12 months) Possibility of extension to maximum 4 years based on satisfactory progress Comprehensive benefits package and professional development support Equal Opportunity Commitment: The University of Vienna champions diversity, equal opportunities, and the advancement of women in academia. We particularly encourage applications from qualified women candidates and are committed to anti-discriminatory employment practices.
Handelshøyskolen BI
About the Role BI Norwegian Business School invites applications for a Researcher position in the Operations Management Group at the Department of Accounting and Operations Management in Oslo. This is a full-time, one-year appointment with an immediate start date, offering an exceptional opportunity to contribute to groundbreaking research in sustainable logistics and carbon capture technology. The successful candidate will join the LogiCCS project, an ambitious interdisciplinary research initiative spanning 15 partners across Sweden, Norway, Denmark, and Latvia. This project focuses on developing knowledge to enhance efficient Carbon Capture, transportation and Storage (CCS) supply chains and operations throughout the region, with particular emphasis on sustainable and energy-efficient cross-border maritime infrastructure and logistics solutions. Key Responsibilities Project Management & Coordination Coordinate deliverables for assigned tasks and ensure timely completion of project milestones Organize meetings, facilitate collaboration among international partners, and maintain comprehensive project reporting Develop and execute activity plans to meet agreed project deliverables on schedule Manage stakeholder relationships across multiple countries and disciplines Research & Analysis Conduct quantitative research focused on model building and logistics network scenario identification Develop decision support models for optimal maritime infrastructure supporting CCS operations Analyze future logistics capacity requirements, including fleet size and mix optimization for CO2 transport Utilize optimization and simulation methods to create practical decision-making toolboxes Support methodology development and implementation across research teams Data Collection & Case Study Development Design and execute comprehensive data collection strategies Conduct interviews, observations, and workshops with industry stakeholders Establish realistic scenarios and model structures based on empirical evidence Collaborate with industrial partners to ensure research relevance and practical applicability Knowledge Dissemination Lead and contribute to academic research publications and peer-reviewed articles Prepare detailed project reports for various stakeholder audiences Develop teaching cases and other educational materials Present research findings to both academic and industry audiences Participate in conferences and knowledge-sharing events within the CCS community Collaborative Research Work closely with researchers from marine technology, ship design, geology, environmental science, and law Contribute to an integrated approach addressing multiple aspects of CCS value chains Support interdisciplinary team members on methodology and implementation challenges Foster international collaboration within the Nordic and Baltic Sea Region research network Requirements Educational Background PhD degree preferred in Industrial Engineering, Logistics, Operations Research/Management, Decision/Management Science, Data Science, Economics, Supply Chain Management, or equivalent relevant experience Strong academic foundation in quantitative methods and research methodologies Demonstrated understanding of supply chain and logistics principles Technical Skills Extensive experience with optimization and/or simulation tools Proficiency in decision support software development Strong quantitative analysis capabilities Experience with data collection and statistical analysis methods Familiarity with logistics network modeling and optimization techniques Language & Communication Excellent English skills, both written and oral communication Ability to present complex research findings to diverse audiences Strong academic writing and publication experience Personal Attributes Proven ability to collaborate effectively with researchers from different fields and career stages Demonstrated capacity to work independently on predefined tasks while contributing to team objectives Strong organizational skills and genuine interest in data-driven research approaches Positive attitude with ability to manage demanding workloads and tight deadlines Willingness to share knowledge and contribute to a collaborative research environment Adaptability to work in an international, multicultural research setting What We Offer Professional Development Opportunity to work at one of Scandinavia's leading business schools Access to cutting-edge research support and resources Connections to the broader CCS knowledge community and industry networks Supportive professional environment fostering academic growth Flexibility and extensive opportunities for international collaboration Benefits Package Membership in BI's comprehensive collective pension scheme Norwegian language courses for all international employees Competitive compensation package Professional development opportunities and conference attendance support Access to world-class research facilities and resources Application Requirements Candidates must submit applications electronically including: Cover letter with a short project proposal (maximum 1 page) reflecting research interests Comprehensive CV and publication list (up to 10 academic publications, including PhD thesis) Certificate from highest degree obtained Names and contact details of three professional references Additional documentation supporting qualifications and relevant experience BI Norwegian Business School
Toms Gruppen
About the Role Are you ready to kickstart your career in Financial Planning & Analytics (FP&A) and contribute to decision-making processes at an international company with strong brands and Nordic heritage? Toms is seeking an engaged and ambitious finance student to strengthen our FP&A work within the CFO Office. As a Student Assistant, you will become an integral part of the FP&A team and play a central role in supporting our financial planning and reporting processes. This position offers hands-on experience with forecasts, performance monitoring, and analyses that form the foundation for management decisions. You will work closely with the FP&A team and gain insight into how finance creates value and provides oversight in a complex business environment. Key Responsibilities Support the FP&A team in developing financial forecasts and comprehensive analyses Prepare decision-support materials and professional presentations for management Ensure structured data processing and maintain high data quality standards Contribute to optimization and streamlining of processes within financial planning and reporting Assist with monthly, quarterly, and annual reporting cycles Participate in variance analysis and performance tracking initiatives Support budget preparation and strategic planning processes Collaborate with various departments to gather and validate financial data Help maintain financial models and dashboards Contribute to process documentation and improvement initiatives Requirements Currently pursuing a relevant degree in economics, finance, or equivalent (e.g., HA, Cand.Merc., Cand.Polit.) Strong interest in financial planning and analysis Analytical mindset with enthusiasm for working with numbers and data Excellent system understanding and proficiency in Excel Structured and detail-oriented working approach with ability to take independent responsibility Strong communication skills in both Danish and English Ability to work effectively both independently and as part of a team Proactive attitude with strong problem-solving capabilities Understanding of basic financial principles and accounting concepts About Toms Since 1924, Toms has been driven by a desire to bring smiles to people all over the world. We build on a heritage of generations of proud and visionary craftsmen, whose passion continues to inspire us. At Toms, we smile when we make a difference at work, and when we build an environment where we grow and thrive. What We Offer Relevant and value-creating experience within FP&A Close mentorship and sparring with experienced finance professionals Insight into management reporting and decision-making processes Flexible working hours that can be adapted to your studies Informal yet ambitious work environment focused on both professional and personal development Opportunity to gain practical experience in a well-established international company Exposure to various aspects of financial management in a complex business Professional development opportunities and potential for career advancement Collaborative team environment with experienced finance professionals Join our team and gain valuable experience that will strengthen your foundation for a successful career in finance while contributing to a company that embraces differences, lives passions, and takes responsibility for people and communities worldwide. Toms promotes equality and encourages all qualified persons to apply regardless of age, gender, sexuality, religion, ethnic origin, or disability.