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Data Analytics Specialist

Pay
Pay not listed
Work setting
Hybrid — work setting source
Feedback and offer Location: Kraków or Warsaw - hybrid model, with office attendance depending on project needs. #LI-HYBRID
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Employment
Not stated

What you’ll work on

Full posting
  • You will work with large and complex datasets, analyse and transform data, investigate data quality issues, and collaborate closely with business and technical teams.

  • Analyse, transform, and validate large datasets using SQL, Python, and PySpark.

  • Develop and validate data transformations and ETL processes.

From the employer’s posting
The project focuses on data and regulatory reporting within the corporate clients segment. You will work with large and complex datasets, analyse and transform data, investigate data quality issues, and collaborate closely with business and technical teams. Experience within banking industry would be highly appreciated.
What You’ll Do Analyse, transform, and validate large datasets using SQL, Python, and PySpark. Investigate data quality issues and identify their root causes.
Investigate data quality issues and identify their root causes. Develop and validate data transformations and ETL processes. Work with data related to corporate clients, financial products, and reporting.

Benefits in the posting

Full benefits wording
  • UoP contract
  • Collaborative working environment and professional development opportunities.
  • Recruitment Process
  • Recruiter screening
  • Capco technical interview
  • Client interview
  • Feedback and offer
  • Location: Kraków or Warsaw - hybrid model, with office attendance depending on project needs.

From the employer’s posting.

About Capco

Capco is a global technology and management consultancy specialising in financial services.

In the employer’s words · Read in context

Apply at Capco

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 9, 2026today
Recorded sightings
1

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How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 41.

At Capco, jobs usually come down by about day 36.

From 12,187 similar postings that came down, and 208 of Capco’s. Coming down is not always a hire.

Capco is hiring

78 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • Python
  • SQL
  • pandas
  • PySpark
Where the posting names them
What You’ll Do - Analyse, transform, and validate large datasets using SQL, Python, and PySpark. - Investigate data quality issues and identify their root causes.
- Strong SQL skills, including joins, CTEs, aggregations, and data validation. - Hands-on experience with Python, particularly Pandas. - Practical experience with PySpark and large-scale data processing.
- Experience working as a Data Analyst or in a similar data-focused role. - Strong SQL skills, including joins, CTEs, aggregations, and data validation. - Hands-on experience with Python, particularly Pandas.
- Hands-on experience with Python, particularly Pandas. - Practical experience with PySpark and large-scale data processing. - Experience using Git and GitHub.

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Demand for Analyst roles

New Analyst postings at the employers we follow are up 18% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 965, the most 1,385, and the latest week had 1,346.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

 

Data Analytics Specialist

About Capco

Capco is a global technology and management consultancy specialising in financial services. We work with leading banks on data, technology, and transformation projects.

 

The Role

We are looking for an experienced Data Analyst to join an international project for a leading global bank.

The project focuses on data and regulatory reporting within the corporate clients segment.

You will work with large and complex datasets, analyse and transform data, investigate data quality issues, and collaborate closely with business and technical teams.

Experience within banking industry would be highly appreciated.

 

What You’ll Do

  • Analyse, transform, and validate large datasets using SQL, Python, and PySpark.
  • Investigate data quality issues and identify their root causes.
  • Develop and validate data transformations and ETL processes.
  • Work with data related to corporate clients, financial products, and reporting.
  • Collaborate with data engineers, business analysts, and other stakeholders.
  • Use Git and GitHub for version control and team collaboration.
  • Document data mappings, transformation rules, and analytical findings.
  • Support data preparation for regulatory and management reporting.

What We’re Looking For

  • Experience working as a Data Analyst or in a similar data-focused role.
  • Strong SQL skills, including joins, CTEs, aggregations, and data validation.
  • Hands-on experience with Python, particularly Pandas.
  • Practical experience with PySpark and large-scale data processing.
  • Experience using Git and GitHub.
  • Experience working with large and complex datasets.
  • Understanding of ETL processes, data transformations, and data quality.
  • Strong analytical and problem-solving skills.
  • Good communication skills and fluent English.

Nice to Have

  • Experience in banking or financial services.
  • Understanding of ESG, regulatory reporting, SREP, or EBA reporting.
  • Knowledge of corporate banking, credit risk, or financial exposures.
  • Experience with Jupyter Notebook or Prophecy.

 

What We Offer

  • UoP contract
  • Hybrid working model.
  • Opportunity to work on an international banking project.
  • Access to modern data technologies.
  • Collaborative working environment and professional development opportunities.
  • Opportunity to develop knowledge of ESG and regulatory reporting.

 

Recruitment Process

  1. Recruiter screening
  2. Capco technical interview
  3. Client interview
  4. Feedback and offer

Location: Kraków or Warsaw - hybrid model, with office attendance depending on project needs.

#LI-HYBRID

 

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Pay

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Location & working pattern

Poland - Warsaw

- UoP contract - Hybrid working model. - Opportunity to work on an international banking project.
More source context
- Feedback and offer Location: Kraków or Warsaw - hybrid model, with office attendance depending on project needs. #LI-HYBRID
Work authorization

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