Time since we first saw it
Day 120
Up longer than most. Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Gather and analyze business requirements into technical specifications
Design and build data models reflecting business processes
Create and maintain reports, dashboards and visualizations
Clean, structure and integrate large, complex datasets
Automate repetitive data processes
Gather and analyze business requirements and translate them into clear technical specifications.
Design and build data models that reflect business processes and information flows.
Create and maintain reports, dashboards, and visualizations that support decision-making.
Work with large and complex datasets, including data cleaning, structuring, and integration.
Automate repetitive data processes to improve efficiency and reliability.
University degree (Bachelor’s or higher)
practical experience with data analysis through internships, work experience, or academic projects
Solid knowledge of SQL or Python
a good understanding of data warehousing concepts and data structures
the ability to communicate insights clearly to non-technical audiences
What matters to us - University degree (Bachelor’s or higher) and practical experience with data analysis through internships, work experience, or academic projects. - Solid knowledge of SQL or Python and a good understanding of data warehousing concepts and data structures.
At PwC, we help clients solve today’s and tomorrow’s challenges across audit, consulting, tax, legal, technology, and data.
In the employer’s words · Read in context
Open 4 monthsWe first saw this posting 120 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 120
Up longer than most. Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
27 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- University degree (Bachelor’s or higher) and practical experience with data analysis through internships, work experience, or academic projects. - Solid knowledge of SQL or Python and a good understanding of data warehousing concepts and data structures. - Strong analytical mindset combined with the ability to communicate insights clearly to non-technical audiences.
- Experience with data modeling concepts and modeling frameworks. - Knowledge of Python, R, or another scripting language for data manipulation. - Experience with reporting and visualization tools such as Power BI, Tableau, Looker, or similar.
- The chance to work from one of PwC’s international offices (available from the Senior Associate level). - We support your learning and development journey: Benefit from ongoing training and certifications in consulting, business, and technology skills, including Agile and project management, data analytics (Power BI, Python, Alteryx, Tableau), cloud and Microsoft technologies (Azure, Power Platform), business process analysis, and consulting essentials, such as stakeholder management, communication, and presentation skills. - A buddy programme, regular feedback, and access to a coach who can support your professional development and career path.
- Experience with reporting and visualization tools such as Power BI, Tableau, Looker, or similar. - Familiarity with modern cloud-based data platforms such as Snowflake, Databricks, Microsoft Fabric, or BigQuery. - Understanding of data warehousing, data quality principles, ETL/ELT processes, or data orchestration tools.
- Knowledge of Python, R, or another scripting language for data manipulation. - Experience with reporting and visualization tools such as Power BI, Tableau, Looker, or similar. - Familiarity with modern cloud-based data platforms such as Snowflake, Databricks, Microsoft Fabric, or BigQuery.
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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 & Summary
Join our Technology Consulting team and help organizations unlock the value of their data. We work on modern data platforms, analytics, reporting, and transformation projects for leading clients across industries. Our team combines deep technical expertise with a strong business mindset to deliver solutions that drive measurable impact.
Tomáš Karas is a Director who leads the whole Data Management team in Technology Consulting. Combining the roles of Data Architect and Delivery data lead, he helps clients build large-scale data platforms and transform data using modern data & AI technologies into business value.
His teams deliver solutions that automate complex processes and save clients thousands of hours of operational effort using a combination of data & AI platforms. Outside of work, you'll likely meet him with a team at some place that involves music either on dance floor or behind the mic on karaoke. At home he spends time with family of 4 kids and their famous guinea pig farm.
Are you passionate about data and eager to make sense of it for others? Join our team and gain hands-on experience working on real-world data projects for a variety of clients.
As a Data Analyst, you will join a supportive team of analysts, data engineers, and architects. You will work on real projects for a variety of clients — from large banks and financial institutions abroad to companies based in the Czech Republic. Your role will span the full data lifecycle: understanding business needs, shaping data models, building reports, and presenting findings that drive real decisions. You do not need to know everything from day one. We will support you in developing your technical and analytical skills and help you understand how data solutions are designed, built, and used in practice. You will:
At PwC, we help clients solve today’s and tomorrow’s challenges across audit, consulting, tax, legal, technology, and data. We create an environment where people can learn, grow, and build a career in their own way. We believe the best results come from diverse experiences and perspectives. That’s why we foster an inclusive culture where everyone can be themselves, build on their strengths, and contribute to work that makes a real impact.
Interested in joining us? We’d love to hear from you and tell you more about this opportunity.
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