Data Analyst with Securities knowledge

As a Data Analyst with Securities knowledge at Capco Poland, your main responsibilities will include analyzing securities static data across various asset classes, designing and executing data migration strategies, and ensuring compliance with relevant regulations. You will also support business users by executing test cases and reconciling data to foster improvements in the business processes.

To qualify as a Data Analyst with Securities knowledge at Capco Poland, you should have over 5 years of relevant experience in handling securities static data. A strong background in data migration, along with experience working with international teams, both on the business and IT sides, is essential. Proficiency in English is required, while knowledge of German is considered a plus.

Capco Poland supports the professional development of its Data Analysts by providing access to over 3,000 business courses through platforms like Udemy, ongoing learning opportunities to deepen expertise, and the chance to work closely with senior partners. Employees can partake in a flat, non-hierarchical structure that encourages collaboration and innovation.

Data Analysts at Capco Poland can expect a culture that values innovation, diversity, and inclusivity. The company prioritizes creating a supportive environment where every individual is encouraged to express their unique perspectives, as this diversity is considered vital for success in the financial services landscape.

Data Analysts at Capco Poland benefit from a comprehensive employee benefits package, which includes health insurance, financial support through the MyBenefit Cafeteria program, and flexible working arrangements, such as hybrid work options. The company also provides access to necessary IT equipment to ensure employees can perform at their best.

When answering this question, be specific about the types of securities static data you have worked with. Describe the processes you followed, the tools you used, and the outcomes of your efforts. Highlight any relevant projects where you contributed to data analysis and compliance.

In your response, outline the steps you take in developing a data migration strategy, including assessing existing data quality, defining objectives, choosing appropriate tools, and ensuring proper testing and validation. Emphasize your attention to detail and communication skills.

Provide examples of past work experiences where you collaborated with international teams. Focus on how you effectively communicated and managed time zones, cultural differences, and different working styles to achieve common goals successfully.

Discuss your familiarity with relevant regulations and standards governing securities data. Explain the processes you implement to regularly review and update compliance protocols and how you stay informed about regulatory changes that may impact your work.

Mention specific tools or software that you have used in your previous roles, such as SQL, Python, or data visualization software like Tableau. Highlight how these tools have improved your efficiency and accuracy in handling data.

Choose a project that exemplifies your problem-solving skills. Describe the challenges faced, your approach to overcoming them, and the successful outcomes achieved. Highlight teamwork, innovation, and impact on the organization.

Discuss your methods for validating data findings, such as cross-referencing with external sources, peer reviews, or automated verification processes. Emphasize the importance of accuracy in data analysis and how you prioritize this in your work.

Explain the process you follow when discrepancies arise—this may include identifying the source of the discrepancy, communicating with relevant stakeholders, and implementing corrective actions. Emphasize your analytical mindset and solution-oriented approach.

Provide an example or two of times when you successfully met tight deadlines. Discuss your time-management skills and how you prioritize tasks while ensuring quality is maintained.

Discuss emerging trends such as the increased use of AI in data analysis, the growing need for data literacy across the organization, and the importance of ethical data usage. This will demonstrate your industry awareness and ability to adapt to changes.