Capco Poland

Data Analyst (Banking experience)

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MidHybryda·KrakówInne·B2B

#474751·Dodano 10 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

SQL Python PySparkAnalytics

Podsumowanie oferty

Data Analyst supporting ESG data and regulatory reporting for a global financial institution. The role involves analysing complex datasets and maintaining data assets, using Python, PySpark, SQL, and distributed data processing.

Wymagania

4–5+ years of experience in data analysis, preferably in banking, financial services, or regulatory reporting.
Strong SQL skills, including complex joins, CTEs, aggregations, window functions, and data reconciliation.
Practical experience with Python, including Pandas for data manipulation and analysis, and PySpark for large-scale data processing and transformation.
Experience working with structured datasets and implementing data validation logic.
Hands-on experience with Jupyter Notebook for Python/PySpark development, exploratory analysis, prototyping, and validation.
Good understanding of Apache Spark and distributed computing concepts, including DataFrame operations, partitioning, and performance optimisation.
Understanding of data wrangling, ETL processes, data transformations, and data quality controls.
Experience analysing large datasets and investigating discrepancies across multiple sources.
Familiarity with Git/GitHub, including branching, pull requests, and collaborative development workflows.
Ability to translate business requirements into technical data specifications and work with data engineering teams.
Strong analytical thinking, problem-solving skills, and attention to detail.
Experience collaborating with business stakeholders, data engineers, and cross-functional teams.
Excellent communication skills and ability to explain complex data issues clearly.
Fluent written and spoken English.
Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or a related field.

Nice to have:

Experience with Prophecy for visual development, orchestration, and management of Spark-based data pipelines and ETL workflows.
Familiarity with Prophecy integrations with PySpark and Git-based development workflows.
Experience with ESG data, sustainability reporting, or regulatory disclosures.
Understanding of EU Taxonomy, EBA Pillar 3 ESG disclosures, or SREP.
Knowledge of banking data domains such as credit risk, lending, counterparty information, and financial exposures.
Experience with regulatory reporting data, data lineage, and data governance frameworks.
Familiarity with Spark performance optimisation and large-scale data processing architectures.
Previous experience in an international banking or consulting environment.

Obowiązki

Analyse and process large, complex datasets for ESG regulatory reporting and disclosures.
Support the development, enhancement, and maintenance of data assets for EU Taxonomy, EBA Pillar 3 ESG, SREP, and other regulatory initiatives.
Explore, transform, aggregate, and validate data using SQL, Python, Pandas, and PySpark.
Use Jupyter Notebook for exploratory data analysis, prototyping, testing, and validation of data transformations.
Investigate data discrepancies, identify root causes, and provide insights to business and technical stakeholders.
Perform data quality checks, reconciliations, and consistency assessments for reporting outputs.
Collaborate with data engineers to define, implement, and optimise data transformations and ETL workflows.
Translate business and regulatory reporting requirements into technical specifications and data transformation logic.
Assess how changing reporting requirements affect existing datasets, data pipelines, and deliverables.
Process large-scale datasets using Apache Spark and distributed computing environments.
Support testing, validation, and implementation of new or enhanced data solutions.
Use GitHub for version control, code collaboration, and change management.
Document data mappings, transformation rules, analytical findings, and data lineage.
Communicate findings, risks, and recommendations to technical and non-technical stakeholders.

Benefity

Opportunity to work on strategic ESG and regulatory reporting initiatives for a global financial institution.
Exposure to data technologies including Python, PySpark, Apache Spark, and Jupyter Notebook.
Opportunity to collaborate with data engineers, business analysts, and regulatory reporting specialists.

Inne informacje

Recruitment process: recruiter screening call, Capco hiring manager/technical interview, client interview, then feedback or offer.

Capco Poland

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