Senior IT Analyst — Banking Data & AI Solutions Architect

b2bnetwork; Warszawa; On-site; PLN 120,000 - 180,000; Full time

Job summary

b2bnetwork is seeking a data requirements expert for challenging banking projects. You will elicit functional and non-functional requirements, translate them into implementation specs, and collaborate with product owners and stakeholders across regions to align objectives.

You will master data mapping, modeling, and solution design; contribute to architecture; perform quantitative analyses; work with developers and QA; and promote best practices and AI-enabled ways of working across teams.

Qualifications

• Expertise in eliciting functional and non-functional requirements.
• Ability to translate business needs into clear specifications.
• Strong data analysis skills and statistical thinking.
• Excellent written and spoken English for international collaboration.
• Experience with Snowflake, DBT and relational databases.

Responsibilities

• Elicit requirements with stakeholders in a complex environment and translate them into implementation specifications.
• Collaborate with product owners to clarify and align objectives.
• Perform data mapping, data modeling, and solution design.
• Contribute to solution architecture and maintainability of applications.
• Perform quantitative analysis to identify issues and propose solutions.
• Work with developers and QA engineers to deliver features.
• Promote best practices and AI-enabled approaches across teams.

Skills

Data analysis

SQL

Stakeholder collaboration

English communication

Tools

Snowflake

MSSQL

Dbt

Copilot

Job description

b2bnetwork is seeking a data requirements expert for challenging banking projects. You will elicit functional and non-functional requirements, translate them into implementation specs, and collaborate with product owners and stakeholders across regions to align objectives.

You will master data mapping, modeling, and solution design; contribute to architecture; perform quantitative analyses; work with developers and QA; and promote best practices and AI-enabled ways of working across teams.