The author discusses how to succeed in your first data role. They emphasize the importance of becoming comfortable with workflow and data structure, mastering the company’s toolbox, learning the business, sharpening your skills, and becoming self-sufficient. They suggest practicing unused skills, creating personal projects, and managing projects from start to end. In a year or two, you will become familiar enough to move forward in the field.
How to Succeed in Your First Data Role
Are you starting your journey in the data field and looking to succeed in your first data role? Here are some practical tips to help you progress in your knowledge and earnings:
Get Comfy with Workflow and Data Structure
When you start a job, you may find yourself lost and unsure where to begin. Don’t be afraid to ask questions and seek clarification. Learn the company’s systems, data structures, and project workflows. Document your learnings to help others and boost your confidence.
Master the Company’s Toolbox
Dive into the specific technologies used in your company. Take relevant courses, watch videos, and read articles to become proficient in these tools. Don’t limit yourself to common tools; learning rare technologies can make you stand out.
Learn the Business
Understanding the industry and how your company operates is essential for career growth. Ask questions and gain insights into the actions behind the numbers, specific reports, and the benefits and weaknesses of the business. This knowledge will bring true value to your team and company.
Sharpen Your Skills
Don’t be disappointed if your first tasks seem less significant than expected. Find ways to practice and apply the skills you’ve learned. Create personal projects and include them in your portfolio. This will help you showcase your abilities when seeking new opportunities.
Become Self-Sufficient
Learn how to manage projects from start to end. Understand the business reasons behind the problems and work on solutions that address the main issues. Be knowledgeable about trusted data sources, project documentation, client expectations, and ongoing project support. This will elevate you from a junior role.
Wrap Up
In a year or two, you’ll become familiar with the technology stack and business aspects, allowing you to move forward in your career. You’ll have a clearer idea of your interests within the data field or may choose to explore related fields. Embrace the potential of AI to evolve your company, stay competitive, and redefine your way of work. Consider connecting with us at hello@itinai.com to discover how AI can benefit your business.
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