Data Analyst

Our requirements

• Minimum 2 years of professional experience in Data Analytics or a similar role.
• Experience in financial data modelling; knowledge of instrument modelling in a PMS environment is a strong advantage.
• Strong proficiency in SQL, including experience with large datasets and query performance optimization.
• Experience in designing, building, and maintaining data pipelines (ETL/ELT).
• Experience in data transformation workflows and automation of data processing.
• Experience in data validation and data quality assurance processes.
• Experience with version control systems (e.g. Git).
• Solid understanding of financial instruments (e.g. equities, bonds, derivatives, funds)
• Strong analytical thinking and excellent attention to detail.
• Ability to work with large datasets and performance-oriented mindset in SQL/data processing.
• Strong team player with good communication skills and a collaborative approach.
• Professional level of English (spoken and written).

Optional

• Proficiency in Python is an additional advantage.
• Understanding of data modelling principles (e.g. normalization, dimensional modelling).
• Experience working with external data sources (e.g. vendor data, APIs, market data feeds).
• Experience in financial services or investment/portfolio management environments.

Your responsibilities

• Design, maintain, and improve data models for financial instruments within a PMS environment.
• Transform and standardize external custodian and market data into consistent internal formats.
• Build and maintain data pipelines for financial data ingestion and processing (ETL/ELT).
• Ensure high data quality through validation, reconciliation, and quality assurance processes.
• Optimize data transformation workflows with focus on scalability, reliability, and performance.
• Automate manual processes across data transformation and data quality workflows.
• Work with external data providers, banks, and wealth management clients to integrate financial data.
• Collaborate with Product, Engineering, and Customer Success teams to improve data management practices.
• Contribute to continuous improvement of data structures, documentation, and standards.

About the project

This is how we organize our work

What we offer

• Access to private medical care (Medicover) and a Multisport card to support your health and wellbeing.
• Flexible working hours with a hybrid/remote setup, including workation options.
• Annual training budget and access to courses and conferences to support continuous professional development.
• Fast-paced career growth in a scaling organization with real business impact.
• Opportunity to work on innovative, tech-driven projects in the financial sector.
• Flat organizational structure with fast decision-making and minimal bureaucracy.
• Strong team culture with integration events, offsites, and regular team lunches.
• Supportive environment of experienced, collaborative professionals focused on problem-solving and innovation.

Recruitment stages

• 1.
  Recruitment Interview

WEALTHARC sp. z o.o.