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Data Analyst GenAI Coding Assistant

Salary:
Type of employment:
B2B
Date:
2025.06.06
Location:
Kraków
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 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) 

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

 

Details:

Location: Kraków

Remote working: hybdryda, 6x in the office per month

Form of cooperation: contract, b2b with Mindbox

Rate: 1300-1500 pln/ MD

 

For our client in the banking industry, I am looking for AI-based data analysis specialists. A core part of the client's portfolio is GenAI coding assistants (GenAI CA), of which GitHub Copilot (GHCP) was the first production-validated GenA. Today, 95% of developers use it for more efficient programming and coding. It is by far the largest use case for GenAI in bank structures. Its scale and speed of implementation is such that the bank is now the largest global GHCP account in terms of engaged users.

The role is to take the initial PoC work and follow it up to mature it, operationalise it and create practical insights so that we know the use cases and technical patterns that benefit most / least from GenAI CA at POD and individual level, while looking for additional opportunities in parallel.

 

Tasks

·       Review existing GenAI CA PoC productivity analysis and improve and develop future roadmap and delivery strategy.

·       Identify specific use cases and technical patterns where GenAI CA has the greatest impact.

·       Identify key challenges, obstacles and accelerators, best practices for the adoption of GenAI CAs

·       Contribute to the data science strategy for measuring the benefits of GenAI CAs with the GenAI CAs programme manager.

·       Understanding of SDLC / DEPL / DORA HSBC metrics. Collection, analysis and interpretation of data.

·       Work closely with HSBC data analysts and researchers to refine analytical models and methodologies.

·       Assist in defining the delivery strategy and phasing plan, clear objectives, scope and ECONOMY.

 

·       Work with the programme manager to:

ü  Explain the actionable insights to senior stakeholders

ü  From the insights, working with the delivery teams you will give key inputs to develop and implement sub-projects / actions that will improve the benefits that developers can achieve using GenAI

Requirements

•    Experience in developing knowledge capture, knowledge transfer, communities of interest, processes and content.
•    Proven ability to deliver globally in matrix-based organisations
•    Proven experience in data analytics, particularly in a software development context
•    Good understanding of SDLC, Deployment and DORA metrics and their relevance to developer productivity
•    Experience of translating data analysis into practical business or operational insights
•    Familiarity with GenAI technologies, in particular coding assistants such as GitHub Copilot
•    Experience in data analysis and processing using Python/R/SQL/Jupyter notebook or similar toolkits.
•    In-depth understanding of data modelling
•    Knowledge of machine learning libraries, e.g. Scikit-learn/XGboost/Keras/Pytorc