Data
Data Science Career Ladders
Data science is generally a new department within companies, but some companies have begun to create leveling guides to help team members chart the skills needed to advance their career and grow across levels with objective guidance.
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The Practica AI Coach helps you improve in Data Science Career Ladders by using your current work challenges as opportunities to improve. The AI Coach will ask you questions, instruct you on concepts and tactics, and give you feedback as you make progress.How to Think About Data Career Paths
Data career paths are varied and complex, requiring a strategic approach to navigate. A clear understanding of the industry, skills, and personal goals is essential to succeed.- Everything You Need to Build Your Own Data Science Career LadderGeorge provides details on individual contributor and management tracks for data scientists, along with descriptions of 49 skills within 12 skill categories. At the bottom of the article, George provides a link to a sample data science skill matrix.
- The Analyst Career PathThe data analysis department is generally smaller than departments like engineering and product management, which leads to more questions about how to progress through a data analysis career. Casey provides 3 career pathway options based on his experience managing data analysts: • Option 1: Graduate into Data Science • Option 2: Become an Analytics Manager • Option 3: Graduate into Product Management
Data Skill Groups
Data skill groups encompass a broad range of competencies, including technical, business, and soft skills. These groups are essential for developing a well-rounded data professional.- Data Science Career Path & ProgressionJulien explains the 4 skill groups (he calls them data axes) of data career paths: • Data axis • Engineering axis • Business axis • Product axis
Data Analytics Career Ladders Examples
Data Analytics career ladders offer a clear path for professionals to progress from entry-level to senior positions. These ladders typically involve mastering specific skills and taking on increasing levels of responsibility.- Yerdle Recommerce Analytics Team Career LadderYerdle's data Analytics career ladder covers 4 IC levels with.5 skill groups, and 2 manager levels with 4 skill groups.
Related Skills
- ROI for Data Work
- MLOps Platforms
- Prioritization for Data Work
- Structuring Data Teams
- Effective Dashboards
- SQL
- Machine Learning
- Data Engineering
- Neural Networks
- Analytics
- Analysis Documentation
- Data Infrastructure
- Cohort Analysis
- Data Tools
- ETL
- Data Soft Skills
- Data Dictionary
- Data Governance
- Data Roadmaps
- Event Data
- Personalization
- OCR
- Data Warehouse
- Deep Learning
- Sampling Algorithms
- Data Intuition
- Linear Regressions
- Data Cleaning