In this episode of Data Team Success, host Ross Webb sits down with Miltiadis Sarakinos, Head of Data Analytics at Bank Cler, to explore the fundamental strategies that create successful data leaders and thriving data careers. With years of experience in both scientific and business environments, Miltiadis shares invaluable insights on integrating data culture, overcoming data literacy challenges, and achieving career success in the ever-evolving field of data analytics. Guest Introduction Miltiadis Sarakinos brings a wealth of experience from his time at CERN and his current role as Head of Data Analytics at BankClaire. His unique perspective bridges the gap between scientific rigor and practical business applications, making him an ideal guide for aspiring data professionals and leaders. Key Takeaways 1. Establishing a Strong Data Culture The transition from scientific environments to business settings presents unique challenges for data professionals.Creating a data culture requires spreading knowledge and skills throughout the organization, not just within the data team.Every company is becoming a data and AI company, necessitating a broad understanding of data across all departments. 2. Overcoming Data Literacy Challenges Avoid creating data products that only the producers understand; focus on making insights accessible and actionable for the entire organization.Resist becoming solely a data delivery team; encourage other departments to develop their own data skills.Approach data management as an ongoing journey rather than a fixed project with a defined endpoint. 3. Building a Successful Data Career Master the fundamentals: Learn Python, SQL, and other in-demand skills by studying job postings and industry trends.Gain hands-on experience with real datasets, working through challenges and bugs on your own computer.Develop soft skills: Data roles are "50% marketing jobs," requiring the ability to communicate complex ideas to non-technical stakeholders. 4. Effective Team Management Balance individual creativity with standardization to ensure consistency and knowledge transfer within the team.Cultivate a lifelong learning mindset, continuously updating your skills and knowledge. 5. Overcoming Common Challenges Adapt to business needs by focusing on "80/20" solutions rather than striving for perfection.Maintain focus on key projects instead of getting distracted by multiple interesting but incomplete initiatives.Embrace iteration and continuous improvement in your work. Final Advice: Become Data-Driven in Your Personal Development Miltiadis emphasizes the importance of applying data-driven principles to your own career growth: Collect feedback and data about your performance and skills.Analyze this information objectively, without becoming defensive.Use these insights to continuously improve and grow as a data professional. By following these strategies and maintaining a growth mindset, data professionals can build successful careers that adapt to the rapidly changing landscape of data and AI technologies.