Technical Business

6 years of experience in data analysis or other related field Demonstrated knowledge of the Hadoop ecosystem or Google Cloud Platform, coupled with strong business analysis, requirements gathering, and solution design skills Ability to deconstruct requirements into detailed components and translate business needs for delivery partners Experience in project delivery using Agile/Scrum methodologies, with proficiency in tools like Confluence and JIRA for writing and refining both technical and business user stories Relevant experience in technical business analysis, requirements gathering, solution design, and re-engineering Strong analytical and problem-solving abilities, with the capacity to work independently and proactively Ability to communicate with stakeholders at all levels. Ability to articulate complex information clearly, meaningfully, and in a structured manner tailored to the audience Expertise in system analysis to identify gaps and improve systems by understanding technical aspects such as APIs, data mapping, and integration Hands-on experience in data mastering Experience with data governance processes and understanding of data lake architectures Good understanding of metadata and its management Understanding of data architecture and data modelling, including differentiating between various data models. Hands-on experience in data modelling, particularly physical data modelling, is advantageous Exposure to or experience with NoSQL databases such as MongoDB, is advantageous Analytical and problem-solving skills with the ability to work independently Proven ability to work across regions with senior stakeholders Ability to identify, define, and solve problems using systemic thinking and creativity Knowledge and experience in financial services Creating an inspiring place to thrive for the talented, we use their expertise and courage to introduce the technology of the future into your business. - This is the foundation of Mindbox and the goal of our business and technology journey. We operate and develop in four areas: 🤖 Autonomous Enterprise - automation of business processes using RPA, OCR, and AI. 🌐Business Managment Systems ERP - we implement, adapt, optimize, and maintain flexible, safe, and open ERP of production and distribution companies worldwide. 🤝Talent Network - we provide access to the best specialists. ☁️ Modern Architecture - we build integrated, sustainable, and open CI / CD environments based on containers enabling safe and more frequent delivery of proven changes in the application code. We treat technology as a tool to achieve a goal. Thanks to our consultants' reliability and proactive approach, initial projects usually become long-term cooperation. For over 16 years, it has provided various services to support clients in digital transformation. #LI-Hybrid  We offer: We are open to the employment form according to your preferences  Work with experienced and engaged team, willing to learn, share knowledge and open for growth and new ideas  Hybrid working system - 1 day / week from office in Kraków Mindbox is a dynamically growing IT company, but still not a large one – everybody can have a real impact on where we are going next We invest in developing skills and abilities of our employees We have attractive benefits and provide all the tools required for work f.e. computer Interpolska Health Care, Multisport, Warta Insurance, training platform (Sages)  ,[Data Quality Enhancement: Utilise Jupyter Notebooks to analyse and enhance data quality within data lake systems like Google Cloud or Hadoop. Identify anomalies and effectively communicate findings to stakeholders, PL/SQL Code Review and Enhancement: Conduct comprehensive reviews and analyses of PL/SQL code, using GitHub for tracking changes, bugs, and commit history, User Story Grooming: Collaborate with the Engineering Scrum team to refine user stories, comprehend issues, and implement solutions, Static Reference Data Alignment: Facilitate the alignment of static reference data and explore Product Taxonomy across four business segments. Identify and address data gaps in core banking and account systems, Advanced Data Analysis: Develop advanced SQL queries and Python Pandas code to analyse large datasets, Participation in Meetings: Engage in planning, status meetings, and Sprint reviews, Issue Troubleshooting: Provide effective support and troubleshooting for issue] Requirements: Hadoop, Google Cloud Platform, Business analysis, Confluence, Jira, System analysis, Data Lake, Data modelling, Data models, NoSQL, MongoDB Additionally: Sport subscription, Private healthcare, International projects.