You're starting a new job in data management. How do you ensure you learn the necessary skills?

In my experience, starting a new job in data management requires a proactive approach to learning. One effective way is to familiarize yourself with the organization's data management processes and systems by reviewing documentation and seeking guidance from colleagues. Taking advantage of training opportunities, such as workshops or online courses, can help you acquire the necessary skills. Additionally, actively participating in team meetings and discussions can provide valuable insights and practical knowledge. Asking questions, seeking feedback, and continuously learning from experiences are key to mastering the skills needed for the role.

Na minha vis?o, é muito importante que você tenha clareza de quais s?o as suas fortalezas, pontos fortes e também dos pontos de melhoria para conseguir identificar em quais frentes consegue contribuir já de início e quais s?o os pontos que você precisa evoluir para conseguir realizar entregas de qualidade. Aconselho a ter cuidado com o peso que damos aos pontos de desenvolvimento... muitas vezes ficamos focados nos nossos gaps, nas coisas que nao sabemos e isso prejudica o andamento de outras frentes em que temos mais dominio e que ja conseguiriamos contribuir de imediato.

Starting a new job in data management involves first understanding the company's goals, the workflow and the data you'll be handling. Look at any available manuals or documentation to understand the processes and software used. Boost your skills by taking relevant courses on platforms like EDX, Coursera or Udemy focusing on the software essential for your role. Connect with colleagues for practical insights and attend any internal training to speed up your learning. Schedule regular reviews to keep up with reporting timelines and compliance needs. Always seek feedback to refine your skills, documenting your progress and areas for further learning to ensure you're contributing effectively to your team and the company's success.

Hit the ground running in the new data management role! Leverage onboarding resources, explore online courses and tutorials, seek out a mentor for guidance, actively practice our skills, and stay curious by attending industry events and networking. This combination of learning and doing will equip us with the knowledge and experience to thrive in our new position and our data management journey.

Para desenvolver habilidades em gerenciamento de dados, você pode considerar a educa??o formal, cursos online, certifica??es, prática prática, leitura e networking. Cursos de gradua??o ou pós-gradua??o, plataformas online como Coursera, edX, e Udemy, certifica??es de organiza??es profissionais, trabalhar em projetos próprios, livros e recursos online, e grupos ou fóruns online podem ser úteis. O gerenciamento de dados é um campo em constante evolu??o, ent?o a aprendizagem contínua é fundamental.

Definitely interact with the wider data management community, but also consider what changes or trends may arise from internal decision makers and changing strategic priorities. Try to understand and interpret the impact that business change may have on data management. Business growth may have additional scaling requirements from how your data are currently managed, whereas business diversification may require data to be modelled differently, for example.

Here’s what I’ll recommend 1. Find out the tools being used in the company. 2. Access your skill level to know where you stand 3. Access the quality of the data report presented previously and check if for areas of improvement. 4. Share your suggestions with your line manager.

To ensure you learn the necessary skills in a new data management job: 1. Understand the job requirements and expectations. 2. Identify the key skills needed in data management. 3. Create a learning plan or roadmap. 4. Seek out relevant training courses or certifications. 5. Take advantage of on-the-job training and mentorship opportunities. 6. Engage in self-study and explore online resources. 7. Practice hands-on with real-world data scenarios. 8. Seek feedback and guidance from experienced colleagues. 9. Stay updated with industry trends and best practices. 10. Continuously assess and evaluate your progress and adjust your learning plan as needed.