# Data Business Analyst – GCP / Hadoop at Capco

> Poland · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Acapco%3A8191034 (read 2026-11-05).

## Facts (observed)

- Company: [Capco](https://alderhq.app/companies/capco)
- Location text: Poland - Cracow; Poland
- Where it can be done from (inferred): Poland (evidence: "Location: Poland - Cracow; Poland")
- Posted: 2026-09-10 (56 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/capco/jobs/8191034
- Skills listed (inferred): GCP, Spark, SQL

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### CAPCO POLAND

### \*We're looking for candidates located in Poland

Capco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry.

### We also are

- Experts in banking and payments, capital markets, wealth and asset management
- Focused on maintaining our nimble, agile, and entrepreneurial culture
- Committed to growing our business and hiring the best talent to help us get there
Role Overview:

At Capco, we combine business, data and technology expertise to deliver meaningful transformation across financial services.

We are looking for a Data Business Analyst to support a large-scale banking data initiative. This role sits at the intersection of business requirements, data analysis and technical delivery, with a strong focus on translating business needs into well-defined data solutions.

You will be responsible for an end-to-end analytical scope: understanding data requirements, identifying and validating source data, defining business logic and mappings, preparing Asset Designs and implementation-ready requirements, and collaborating with Data Engineering teams throughout delivery.

This is a great opportunity for someone who enjoys combining hands-on data analysis with business analysis and solution design in a complex banking environment.

### What You'll be responsible for

- Gathering, analysing and refining business and data requirements and translating them into clear technical requirements.
- Acting as a link between business stakeholders, data teams, architects and Data Engineers throughout the data delivery lifecycle.
- Identifying relevant data sources across HDP/Hadoop environments and determining how they should be delivered to the analytical layer in Google Cloud Platform.
- Analysing and validating data using SQL, BigQuery, Hive and Spark SQL.
- Preparing and maintaining Asset Designs, data mappings and detailed solution logic.
- Creating implementation-ready requirements and tickets for Data Engineering, covering data sources, scope, transformations, mappings and business rules.
- Collaborating with Data Engineers during implementation to clarify requirements, explain solution logic and validate delivered solutions.
- Verifying data accuracy, completeness, consistency and alignment with agreed requirements.
- Identifying and analysing Data Quality and Data Completeness issues and coordinating activities with Data Owners, asset owners and engineering teams to resolve them.
- Delivering activities related to Data Governance, including data mapping, standards validation and data access requirements.
- Preparing data access and permission requests for relevant users and groups.
- Analysing ongoing and ad hoc issues affecting data and pipelines, performing root cause analysis and defining required changes.
- Supporting enhancements to existing data pipelines, including changes to processing logic, schedules, dates and source systems.
- Creating and modifying scripts or code maintained in GitHub to support analysis, data validation and project delivery.
### What we're looking for

- Experience delivering data solutions within banking or financial services.
- Strong hands-on experience with SQL and complex data analysis.
- Practical experience with Google Cloud Platform and BigQuery.
- Experience analysing data in Hadoop/HDP environments, ideally using Hive and/or Spark SQL.
- Experience translating business requirements into technical data requirements.
- Good understanding of data mappings, transformation logic and data flows.
- Experience preparing detailed specifications, solution designs or implementation requirements for Data Engineering teams.
- Strong analytical and problem-solving skills, particularly in the areas of Data Quality and Data Completeness.
- Ability to investigate data issues, identify root causes and define appropriate solutions.
- Experience collaborating with a range of stakeholders, including business teams, Data Engineers, architects, Data Owners and asset owners.

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Acapco%3A8191034 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.