What do you do if you want to enhance your analytical skills after entering the workforce?

Faites le point sur vos compétences actuelles. Quels outils maîtrisez-vous déjà ? Quelles méthodes analytiques connaissez-vous ? L'auto-évaluation peut révéler des compétences existantes que vous pouvez approfondir ou de nouvelles compétences que vous devez acquérir. Utilisez par exemple des évaluations en ligne, des feedbacks de collègues, ou même des retours d’anciens projets pour obtenir une image précise de votre niveau actuel.

Impliquez-vous dans des discussions professionnelles. Ne vous limitez pas à recevoir des conseils ; participez activement aux discussions. L'échange d'idées dans des forums spécialisés ou des groupes de réflexion peut révéler des approches inexplorées, stimulant ainsi votre créativité et votre capacité à résoudre des problèmes complexes.

Level Up Your Analysis: Learning Beyond the Office Online Courses: Explore platforms like Coursera, edX, or Udemy for in-depth statistics, data visualization, or critical thinking courses. Industry Podcasts & Blogs: Stay current! Subscribe to podcasts and blogs on data analysis in your field. Learn from industry experts. Books & Articles: Dive deeper! Pick up statistics or data analysis books tailored to your interests. Industry publications offer valuable insights. Challenge Yourself: Participate in online data analysis competitions (e.g., Kaggle). Apply your skills to real-world datasets. Seek Mentorship: Connect with senior analysts in your company. Learn from their experience and gain valuable guidance.

Shadow the Masters: Volunteer to assist senior analysts on projects. Observe their approach and ask questions. Revamp Existing Reports: Identify reports you create regularly. Can you leverage new data or visualizations to make them more insightful? Find Efficiency Gaps: Analyze your team's workflow. Can you streamline processes using data-driven insights? Propose Data-Driven Solutions: Encounter a business challenge? Present data-backed solutions to leadership, showcasing your analytical thinking. Track & Analyze Results: Did your data-driven solutions yield positive results? Track and analyze the impact to solidify your analytical credibility.

New job, but analytical skills need a boost? Analyze Your Day: Take 10 minutes after work to reflect on tasks. What data did you use? Could you have analyzed it differently? Celebrate Wins & Learn from Losses: Did your data insights lead to better decisions? Identify areas for improvement in your approach. Track Your Progress: Maintain a log of skills learned, data analyzed, and challenges overcome. Seek Feedback: Ask colleagues or mentors to review your work and provide constructive feedback on your analytical thinking. By consciously reflecting on your daily work, you continuously refine your analytical skills. You'll identify areas for improvement, celebrate successes, and transform learning into practical expertise.

Here's how to stay sharp after entering the workforce: Micro-Learning: Devote 15 minutes daily to online tutorials or industry articles on new data analysis techniques. Network with Experts: Connect with data analysts at conferences or online forums. Learn from their experiences and challenges. Embrace New Tools: Explore emerging software or data visualization tools relevant to your field. Experiment and stay ahead of the curve. Internal Resources: Tap into company training programs or workshops on data analysis. Invest in your professional development. Become a Teacher: Share your learnings with colleagues! Offer workshops or presentations to solidify your knowledge and inspire others. .

Eu adicionaria um ponto que entendo ser bem importante, e isso para um analista que adentra ao mercado de trabalho, sendo em qualquer área, que é aprender e respeitar quem chegou primeiro, seja quem tem mais tempo de profissão ou mais tempo de empresa. A gente sempre vai aprender mais sentando para ouvir quem chegou antes da gente. Quem começou antes de nós, normalmente tem mais conhecimento, mais habilidade e mais “feeling” para atuar nas atividades. Abrindo os ouvidos para quem tem mais experiência que nós, nos aprimora e nos faz crescer.