Data Analyst - job 1 of 2

As a Data Analyst at Capco, your core responsibilities include analyzing large datasets to uncover insights that shape business strategies, designing and developing engaging Power BI dashboards, and creating optimized data models for accurate reporting. You'll work closely with cross-functional teams to gather requirements and deliver tailored data-driven solutions, all while mentoring junior analysts on best practices.

To be considered for the Data Analyst role at Capco, applicants need a Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field. A Master’s degree is a plus. You should have at least 5 years of data analysis experience, with a minimum of 3 years focused on Power BI, along with proficiency in SQL and database management systems.

Essential tools and skills for the Data Analyst role at Capco include strong proficiency in Power BI (including Power Query and DAX), experience with SQL, and knowledge of database management systems like SQL Server and Oracle. Familiarity with data analysis tools such as Excel, Python, and R, as well as cloud-based platforms like Azure and AWS, is also an advantage.

Capco prides itself on its 'Be Yourself At Work' culture, promoting diversity and encouraging innovative thinking. As a Data Analyst, you'll be part of a collaborative environment where teamwork and knowledge-sharing are emphasized, allowing you to grow and contribute significantly to exciting projects in the financial services sector.

Capco offers several growth opportunities for Data Analysts, including mentorship programs, access to innovation labs, and chances to work on cutting-edge projects. With a focus on professional development, you’ll receive guidance to enhance your skills and advance your career within the company.

When answering this question, share specific examples of projects where you used Power BI efficiently. Explain your familiarity with Power Query, DAX, and how you designed dashboards that provided valuable insights to stakeholders.

Focus on the variety of analyses you've conducted, from identifying trends and patterns to generating reports. Highlight your experience in complex dataset analysis and your methodologies that led to actionable insights.

Describe your collaborative approach, emphasizing communication with cross-functional teams. Give insights into how you ensure all stakeholders' needs are understood and integrated into the analysis process.

List the specific systems you've worked with, such as SQL Server and Oracle, and illustrate your ability to create and manage databases, emphasizing your SQL proficiency.

Talk about your best practices for data validation, error-checking methods, and the importance of thorough documentation to maintain high standards of accuracy throughout your analysis.

Select a real-life example, detail the complexities of the situation, and explain the steps you took to resolve the issue, highlighting your analytical skills and persistence.

Discuss your time management strategies, how you assess project importance, and your methods for balancing urgent tasks with strategic ones to meet all deadlines effectively.

Share any mentoring experiences you have had, detailing how you supported junior analysts and the techniques you used to empower them in their professional development.

Highlight the importance of data visualization in presenting complex information clearly. Discuss how effective dashboards lead to better comprehension and quicker, informed decision-making by stakeholders.

Express your passion for the financial services industry and data analysis, emphasizing how the challenges and opportunities in this sector inspire you to drive impactful changes through informed decisions.