Skip to content

PwC

Data analyst - Technology Consulting

PwC is hiring a Data analyst - Technology Consulting in Prague, Czechia. Level rates it ; you can apply on PwC.

Level's read on this job

  • On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions Databricks, SQL and Power BI among its tools and skills.
  • Level classes it as a junior role.
  • PwC has 3,700+ other open roles on Level.

AI in this role

Data analyst focusing on end-to-end data platform solutions, data modeling, and reporting for technology consulting clients.

DatabricksSQLPower BITableauPython
data-analysisdata-modelingreportingdata-governance

Job Description & Summary

About the team

Join the Technology Consulting team and help clients modernize the way they work with data. We deliver end-to-end data platform and analytics solutions across cloud environments, working with both international and Czech clients. Our team brings together data engineers, architects, analysts, and technology consultants who enjoy solving complex business challenges through modern technologies.


About your manager

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.


Job description & summary

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:

  • Gather and analyze business requirements and translate 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 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.
  • Collaborate with data engineers, architects, developers, and testing teams.
  • Present analytical findings and recommendations to stakeholders.
  • Support the full data lifecycle from business understanding through reporting.
  • Grow your career toward senior data analyst, data architect, or other specialized data roles.

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.
  • Strong analytical mindset combined with the ability to communicate insights clearly to non-technical audiences.

What will help you stand out

  • 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.
  • 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.
  • Ability to transform analytical findings into compelling presentations and business stories.

Why you’ll enjoy working here

  • Professional growth that matches your ambitions and pace. Gain in months the kind of experience that can take years to build elsewhere.
  • Fair pay with no gaps. We are among the few companies in the Czech Republic certified for Equal Pay.
  • A flexible benefits programme with 30,000 points to spend on what matters most to you.
  • 30 days of paid time off, including three well-being days and two additional days off at the end of the year.
  • An opportunity to give back to the community with one paid volunteering day every year.
  • 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.
  • Extensive well-being support and initiatives promoting a healthy lifestyle, from Dr. Digital and Human Dynamic programmes to workplace yoga and running events.
  • An ultrabook and an iPhone with unlimited data.
  • Social events and Away Days.

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.


Ochrana osobních údajů pro žadatele o zaměstnání / Privacy Statement for Recruitment Applicants


#LI-KBHIRING

How we rate this

Data analyst - Technology Consulting at PwC rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisData ModelingReportingData GovernanceDatabricksSQLPower BITableau

Also common in data analyst jobs at this level

Pay

Typical data analyst job
$113k

This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where data modeling was part of your work. What did you do?
  3. Tell me about a project where reporting was part of your work. What did you do?
  4. Tell me about a project where data governance was part of your work. What did you do?
  5. Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Data Modeling, Reporting, Data Governance, and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get new data analyst jobs by email

One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free.

Similar roles

Data roles that involve little AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at PwC

PwC

Bengaluru Millenia26mo

More data analyst jobs

Related searches

Same AI level

Jobs by city