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IT Business Analyst - Data Analyst - HINV/Elevate

1000 - 1300 net + VAT
Type of employment:
Job description

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.



  • 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 or remote working system 
  • 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) 

Hybrid 2 days Office ( Kraków) / 3 days Remote

  • Define and obtain source data required to successfully deliver insights and use cases
  • Determine the data mapping required to join multiple data sets together across multiple sources
  • Create methods to highlight and report data inconsistencies, allowing users to review and provide feedback on
  • Support the SIT, UAT and Production Support.
  • Assist with the planning, tracking and coordination of the data migration team and with the migration run-book and the scope for each cutover.
  • Document the data design and solutions to the high end for future reference.
  • Technically able to validate, analyze, data model and write the clear use stories to Data Engineers.
  • Propose suitable data migration sets to the relevant stakeholders
  • Assist teams with processing the data migration sets as required
  • Assist with the planning, tracking and coordination of the data migration team and with the migration run-book and the scope for each cutover
  • Collaborate with data architects, data engineering and cross-functional teams to support data-driven decision-making processes
  • Support data-related tasks such as data mapping, data lineage, data governance, data quality, and metadata management
  • Identify data requirements and its specifications that accurately reflect the business needs and support the underlying processes
  • Minimum [5] years of experience in data analytics, business intelligence, or related areas
  • Experience in a Business/Data Analyst role
  • Strong communication skills, with the ability to present complex data insights in an understandable and actionable way
  • Strong grasp of fundamental data modelling concepts such as entity-relationship modeling, data flow diagrams, and the ability to create conceptual data models from business requirements.
  • Good understanding of industry-standard methodologies and tools used for data modeling and data exploration and profiling.
  • Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context.
  • Preferable knowledge and experience in Data Quality & Governance.
  • Basic knowledge of Python & SQL, and capable of navigating databases especially Hive.
  • Familiarity with the different data management services and technologies available on Google Cloud platform such as BigQuery, Cloud Storage, Dataproc and Dataflow
  • Able to handle and manipulate large time-series data sets.
  • Good knowledge of SDLC and formal Agile processes, a bias towards TDD and a willingness to test products as part of the delivery cycle SIT, UAT and Production Support.
  • Strong analytical and problem-solving skills, with the ability to work with complex data sets.
  • Attention to detail and ability to manage multiple tasks and priorities
  • knowledge of data modeling, database design, and data management principles.
  • Understand the Data Definition Tagging processes like Logical to Physical Mapping, Data Processing Flow to measure the consistency