Mid Data Analyst

Capco; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

B2B contract

Job summary

Capco Poland is seeking an experienced Data Analyst to support development of advanced machine learning models within a global financial services environment. You will source, transform, analyze, and prepare large-scale datasets, and contribute to robust ETL processes in a hybrid Kraków-based role.

Work with data scientists, model developers, and business stakeholders to deliver high-quality data solutions. Fluent English and strong communication are essential.

Qualifications

• 4–5+ years of experience as a Data Analyst.
• Strong proficiency in SQL and Python, including Pandas, NumPy, SciPy, PySpark.
• Solid understanding of data wrangling, data transformation, and ETL processes.
• Experience with large and complex databases.
• Banking or financial services domain knowledge is highly desirable.
• Excellent communication and stakeholder management skills.
• Fluent English, both written and spoken.

Responsibilities

• Source, transform, and prepare large-scale datasets for modeling and analytics.
• Design, develop, and optimize ETL pipelines for data ingestion and processing.
• Collaborate with cross-functional teams including model developers, data scientists, and business stakeholders.
• Identify data quality issues and implement solutions to improve accuracy and accessibility.
• Contribute to continuous improvement of data management and analytical processes.

Skills

SQL

Python

Pandas

NumPy

SciPy

PySpark

Data wrangling

ETL

Data analysis

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Job description

Data Analyst (Financial Services)

About Capco

At Capco Poland, we're not just another consultancy—we're the dynamic force driving digital transformation in the financial world. As a global leader in technology and management consulting, we help clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management.

Our culture is fast-paced, flexible, and entrepreneurial. We move quickly, think creatively, and put people at the center of everything we do. We're passionate about delivering value to our clients while creating opportunities for our people to grow and thrive.

We're proud to be:

• Leaders in banking, payments, capital markets, wealth, and asset management consulting

• Champions of an agile, innovative, and collaborative work environment

• Committed to attracting and developing exceptional talent

The Role

We are looking for an experienced Data Analyst to provide services supporting the development of advanced machine learning models within a global financial services environment.

In this role, you will work closely with data scientists, model developers, and business stakeholders to deliver high-quality data solutions that power analytical and modeling initiatives. You will be responsible for sourcing, transforming, analyzing, and preparing large-scale datasets while contributing to the design and implementation of robust ETL processes.

Key Responsibilities

• Support the development of advanced financial machine learning models by sourcing, aggregating, and preparing data from multiple internal and external sources

• Clean, transform, validate, and analyze complex datasets to ensure high-quality inputs for modeling activities

• Design, develop, and optimize ETL pipelines to streamline data ingestion and processing workflows

• Work with large-scale databases and distributed data environments to extract and manage data efficiently

• Collaborate with cross-functional teams including model developers, data scientists, and business stakeholders

• Identify data quality issues and implement solutions to improve data accuracy, consistency, and accessibility

• Contribute to continuous improvement of data management and analytical processes

Skills & Experience

• 4–5+ years of experience as a Data Analyst

• Strong proficiency in SQL and Python, including:

  • Pandas

  • NumPy

  • SciPy

  • PySpark

• Solid understanding of data wrangling, data transformation, and ETL processes

• Experience working with large and complex databases

• Strong analytical and problem-solving skills

• Banking or financial services domain knowledge is highly desirable

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

• Excellent communication and stakeholder management skills

• Detail-oriented, collaborative, and business-focused mindset

• Fluent English, both written and spoken

What We Offer

• Flexible collaboration model based on a B2B contract

• Opportunity to work on challenging projects within the financial services sector

• Exposure to modern data, analytics, and machine learning initiatives

• Collaborative and supportive team environment

• Access to professional development opportunities and a global network of experts

Recruitment Process

1. Screening call with a Recruiter

2. Capco Hiring Manager Interview

3. Client Interview

4. Feedback / Offer

B2B cooperation in a hybrid model, with the option to provide services from the Kraków office to the extent agreed based on project needs.