Okay, I've searched for full-time Data Specialist roles in Prague within the financial services industry, requiring SQL and data modeling skills, experience with cloud platforms such as Databricks or Keboola, and at least 3 years of experience. I have found 42 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The role of Datový specialista_FIT data at Česká spořitelna is fundamentally centered on transforming vast volumes of documents and transactional data into accessible, actionable insights that directly improve banking processes and client experiences. This requires a blend of technical prowess in data engineering—building and maintaining reporting tools, dashboards, and data science models—with a nuanced understanding of business needs and end-user perspectives. Candidates must be adept at managing complex data flows and modeling using relational databases (especially Oracle SQL), and comfortable working with modern cloud platforms such as Keboola, Snowflake, or Databricks. The job involves not only hands-on technical development but also close collaboration with diverse stakeholders — from product owners and business users to fellow data specialists and architects — to define, refine, and iterate on data products. Success means delivering value by simplifying workflows, enhancing data transparency, and supporting strategic initiatives within the Financial Interaction Tribe. Analytical thinking paired with empathy for the end user highlights the balance between rigorous data governance and usability across the bank. The role demands autonomy and initiative, as well as agile responsiveness to feedback and changing business priorities. Familiarity with version control (GitHub) and data modeling tools (PowerDesigner) indicates a requirement for disciplined development practices. Fluency in English and a proactive mindset round out the candidate profile, ensuring effective communication and innovation within a dynamic, collaborative environment.

Company Analysis:

Česká spořitelna is a major, well-established player in the Czech banking sector with a strong reputation for fostering employee development and innovation within a supportive and friendly work culture. The company prioritizes not only robust business performance but also employee well-being, offering benefits such as flexible home office arrangements, extensive leave policies, and continuous learning opportunities. Within this stable yet evolving environment, the data specialist role sits at the intersection of technological advancement and domain expertise, deeply embedded in a digital transformation agenda aimed at modernizing client interactions (e.g., through digital advisory platforms like George). The company's open, innovation-driven values align closely with teamwork, transparency, and courage — qualities essential for this data-centric role that requires cross-team collaboration and continuous improvement. Positioned within the Financial Interaction Tribe, this job contributes directly to strategic goals around improving financial product processes and customer experience, implying significant visibility and impact. The role is supportive yet forward-looking, meant to accelerate data literacy and self-service capabilities throughout the business, and involves coordination across multiple teams. This environment rewards curiosity, out-of-the-box thinking, and a proactive approach—ideal for someone excited by technological and financial innovation in a regulated but growth-oriented institution.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to translate complex data requirements from non-technical stakeholders into actionable solutions. How did you ensure their needs were met?
• Behavioral: Describe an instance where you identified a process inefficiency through data analysis. What steps did you take to address it and what was the outcome?
• Behavioral: Can you share an example of how you collaborated with cross-functional teams such as developers, product owners, and business users to deliver a data product?
• Behavioral: Give an example of a situation where you had to manage conflicting priorities or feedback from different stakeholders. How did you handle it?
• Technical: How do you approach designing and optimizing SQL queries for large-scale relational databases like Oracle to ensure high performance?
• Technical: Walk me through your experience with cloud data platforms such as Keboola, Snowflake, or Databricks. How have you integrated these technologies into your data workflows?
• Technical: What strategies do you use in data modeling and version control to maintain data integrity and facilitate teamwork, especially when using tools like PowerDesigner and GitHub?
• Technical: How do you approach building self-service BI solutions that balance usability for business users with technical robustness?
• Situational: Imagine you uncover discrepancies in a key dataset shortly before a major report deadline. How would you manage the situation to ensure timely and accurate delivery?
• Situational: If a business user provides vague or conflicting requirements for a new dashboard, how would you clarify and refine their needs?
• Situational: Suppose a critical data workflow you maintain fails unexpectedly and impacts multiple teams. How would you prioritize your response and communicate with stakeholders?
• Company Fit: What attracts you to Česká spořitelna and specifically to working in the Financial Interaction Tribe?
• Company Fit: How do you see your personal values and work style aligning with Česká spořitelna’s emphasis on openness, innovation, and collaboration?
• Company Fit: How do you stay updated on technological and financial industry trends, and how would you apply this knowledge in your role here?
• Questions to Ask Interviewer: Can you describe the typical collaboration process between data specialists, product owners, and development teams within the Financial Interaction Tribe?
• Questions to Ask Interviewer: What are the most significant challenges the data team is currently facing, and how could this role contribute to overcoming them?
• Questions to Ask Interviewer: How does Česká spořitelna support continuous learning and professional growth specifically for employees in data and analytics roles?