Expert Data Analyst
At a glance
Mid-level Data Analysis & BI role at Capco. Cracow.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Coordinate analysis and transformation work across large datasets, then turn business needs into data solutions
- Use Python, SQL and PySpark to analyze data and help improve transformation pipelines
- Lead analytical workstreams, support fellow analysts and share your expertise with them
- Work with business, technology and data stakeholders to surface data issues, trends and opportunities
- Explain your findings clearly to the people involved
What you bring
- Strong practical skills in Python at upper-intermediate level or higher, plus SQL and PySpark
- Experience handling large datasets and working with data transformation pipelines
- You can turn business requirements into data solutions and coordinate analytical workstreams
- Strong analytical problem-solving, stakeholder management and communication skills
Who this fits
This role suits an experienced analyst who can take ownership of analytical workstreams while contributing hands-on. Banking or financial services experience is desirable. The collaboration model is based on a B2B contract.
From the employer
Expert Data Analyst
About the Role
We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on innovative AI and automation initiatives for leading financial institutions.
We are looking for an experienced Expert Data Analyst to provide services within a large-scale data and analytics programme in the financial services sector.
The role combines advanced data analysis and transformation with responsibility for analytical workstreams. You will work with large-scale datasets, collaborate closely with business and technology stakeholders, and share expertise with other analysts within the team. The role offers exposure to sophisticated payment environments, modern security technologies, and transformation initiatives delivered for leading financial institutions.
Key Responsibilities
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Coordinate complex data analysis and transformation activities across large-scale datasets
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Translate business requirements into effective data and analytical solutions
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Deliver hands-on data analysis using Python, SQL, and PySpark
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Support the development and improvement of data transformation pipelines
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Coordinate analytical workstreams and provide subject-matter support and knowledge sharing to other analysts
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Collaborate with business, technology, and data stakeholders
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Identify data issues, trends, and opportunities and communicate findings clearly
Required Skills & Experience
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Strong hands-on experience with Python (upper-intermediate or above), SQL, and PySpark
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Experience working with large-scale datasets and data transformation pipelines
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Strong analytical and problem-solving skills
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Ability to translate business requirements into data solutions
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Experience coordinating analytical workstreams and sharing expertise with other analysts
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Strong stakeholder management and communication skills
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Experience within banking or financial services would be highly desirable
Why Join Capco?
At Capco, you will have the opportunity to join complex and business-critical initiatives within the financial services and payments industry. You will collaborate with experienced technology, security, and banking professionals while contributing to projects where reliability, security, and regulatory compliance are fundamental.
The recruitment process:
- Screening call with the Recruiter
- Competencies interview with Capco Hiring Manager
- Client interview
- Feedback / Offer
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