Senior IT/Data Analyst
At a glance
Senior Data Analysis & BI role at OPTIVEUM sp. z o.o. Gdańsk.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Draw out functional and quality requirements from stakeholders, then clarify business needs with Product Owners for implementation
- Map and model data, shape solutions, and build pipelines that move data close to real time
- Investigate distributed datasets with statistical analysis, explain the findings, and recommend ways to resolve issues
- Document requirements and use cases, contribute to architecture and maintainability, and improve solution quality
- Work with developers, testers, and international stakeholders while encouraging stronger analytical practices
What you bring
- You have senior analyst experience designing solutions that handle substantial data volumes
- You bring practical banking-sector knowledge and can turn business needs into functional and non-functional specifications
- You work confidently with SQL, Snowflake, and dbt
- You have used AI tools such as Copilot, LLMs, or agentic solutions and can help teams adopt them
- You communicate fluently in written and spoken English and have built relationships across international, multicultural teams
Who this fits
This senior role suits an analyst who can move between stakeholder requirements, data design, analysis, and architecture. It combines hands-on SQL and data work with encouraging AI adoption and influencing team practices. The arrangement is hybrid, with two to three office days each week in Gdańsk, Gdynia, Warsaw, or Łódź, and the contract is a B2B agreement signed directly with Optiveum.
From the employer
Senior IT/Data Analyst
Location: Hybrid (Gdańsk, Gdynia, Warsaw, or Łódź – 2 to 3 days in the office per week)
Rate: Up to 130 PLN/h (B2B)
Contracting Party: B2B cooperation agreement signed directly with Optiveum
We are Optiveum, your trusted IT recruitment and contracting partner. Currently, we are looking for a Senior IT/Data Analyst to join our client, a prominent international organization in the banking industry. In this role, you will play a crucial part in designing scalable, data-intensive solutions and driving the adoption of modern AI technologies within a complex environment.
Please note that you will sign the B2B cooperation agreement directly with Optiveum.
What you will do:
Elicit functional and non-functional requirements by collaborating with a wide range of stakeholders, aiming to understand the deeper purpose behind the requirements.
Interact with Product Owners to clarify and translate business needs into concrete implementation specifications.
Execute data mapping, data modeling, and comprehensive solution design.
Design and implement near real-time data pipelines.
Access complex, distributed datasets and perform quantitative/statistical analysis to understand issues, explain implications, and recommend solutions.
Contribute to solution design, application architecture, and maintainability.
Take full responsibility for requirements documentation (including use cases) and continuous quality improvement.
Collaborate seamlessly with developers, test engineers, and international stakeholders.
Promote analytical excellence across teams by challenging old ways of working, influencing colleagues, and driving best practices.
What we expect from you:
Proven experience working as a Senior Analyst designing data-intensive solutions.
Solid knowledge and hands-on experience in the banking sector.
Expertise in requirement elicitation techniques and translating business needs into functional and non-functional specifications.
Excellent skills in SQL (MSSQL, Snowflake).
Hands-on experience with Snowflake and dbt.
Experience with AI technologies (Copilot, LLMs, and agentic solutions) and the ability to drive AI adoption to deliver faster, more automated solutions.
Strong understanding of architectural practices like Domain-Driven Design (DDD), event-sourcing, microservices, and clean code principles.
Experience with scalable data products and removing barriers for users to become data-driven.
Excellent written and spoken English communication skills, with a track record of building relationships in an international, multicultural environment.
Tech Stack: SQL, Snowflake, MSSQL, dbt, AI (Copilot, LLM), Data Modeling.
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