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Data Analyst – Technology Consulting

pwc · Prague

New
Junior 🇬🇧 English
SQL Python Data warehousing Power BI Tableau Looker Snowflake Databricks Microsoft Fabric BigQuery ETL/ELT

Job description

About the role

PwC's Technology Consulting team in Prague works with clients on modern data platforms, analytics, reporting and transformation projects. As a Data Analyst you will join a team of analysts, data engineers and architects and work on real projects for clients ranging from large foreign banks to Czech companies. You will cover the full data lifecycle, from understanding business needs to reporting, and will be supported in developing your technical and analytical skills.

Key responsibilities

  • Gather and analyse business requirements and turn them into clear technical specifications.
  • Design and build data models that reflect business processes and information flows.
  • Define data transformation rules and help ensure data quality across datasets.
  • Create and maintain reports, dashboards and visualisations that support decision-making.
  • Work with large and complex datasets, including cleaning, structuring and integration.
  • Automate repetitive data processes to improve efficiency and reliability.
  • Collaborate with data engineers, architects, developers and testing teams.
  • Present analytical findings and recommendations to stakeholders.

Required profile

  • University degree (Bachelor's or higher).
  • Practical experience with data analysis through internships, work experience or academic projects.
  • Strong analytical mindset and the ability to explain insights clearly to non-technical audiences.

Required skills

  • Solid knowledge of SQL or Python and a good understanding of data warehousing concepts and data structures.
  • Nice to have: data modelling concepts and frameworks.
  • Nice to have: Python, R or another scripting language for data manipulation.
  • Nice to have: Power BI, Tableau, Looker or similar reporting tools.
  • Nice to have: Snowflake, Databricks, Microsoft Fabric or BigQuery.
  • Nice to have: ETL/ELT processes, data quality principles or data orchestration tools.

What we offer

  • Professional growth with ongoing training and certifications in data analytics, cloud and Microsoft technologies, and consulting skills.
  • Buddy programme, regular feedback and access to a career coach.
  • Flexible benefits programme with 30,000 points, 30 days of paid time off and one paid volunteering day per year.
  • Work from an international office available from the Senior Associate level.
  • An ultrabook and an iPhone with unlimited data, social events and away days.

Questions fréquentes

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Source : ats:workday

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Published 10 hours ago

Expires 1 month from now

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pwc

Prague