Technical Business / Data Analyst

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 employeesWe have attractive benefits and provide all the tools required for work f.e. computerInterpolska Health Care, Multisport, Warta Insurance, training platform (Sages)TasksData 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 stakeholdersPL/SQL Code Review and Enhancement: Conduct comprehensive reviews and analyses of PL/SQL code, using GitHub for tracking changes, bugs, and commit historyUser Story Grooming: Collaborate with the Engineering Scrum team to refine user stories, comprehend issues, and implement solutionsStatic 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 systemsAdvanced Data Analysis: Develop advanced SQL queries and Python Pandas code to analyse large datasetsParticipation in Meetings: Engage in planning, status meetings, and Sprint reviewsIssue Troubleshooting: Provide effective support and troubleshooting for issueRequirements6 years of experience in data analysis or other related fieldDemonstrated knowledge of the Hadoop ecosystem or Google Cloud Platform, coupled with strong business analysis, requirements gathering, and solution design skillsAbility to deconstruct requirements into detailed components and translate business needs for delivery partnersExperience in project delivery using Agile/Scrum methodologies, with proficiency in tools like Confluence and JIRA for writing and refining both technical and business user storiesRelevant experience in technical business analysis, requirements gathering, solution design, and re-engineeringStrong analytical and problem-solving abilities, with the capacity to work independently and proactivelyAbility to communicate with stakeholders at all levels. Ability to articulate complex information clearly, meaningfully, and in a structured manner tailored to the audienceExpertise in system analysis to identify gaps and improve systems by understanding technical aspects such as APIs, data mapping, and integrationHands-on experience in data masteringExperience with data governance processes and understanding of data lake architecturesGood understanding of metadata and its managementUnderstanding of data architecture and data modelling, including differentiating between various data models. Hands-on experience in data modelling, particularly physical data modelling, is advantageousExposure to or experience with NoSQL databases such as MongoDB, is advantageousAnalytical and problem-solving skills with the ability to work independentlyProven ability to work across regions with senior stakeholdersAbility to identify, define, and solve problems using systemic thinking and creativityKnowledge and experience in financial services