Skills assessment
- Metric definition
- Building dashboards
- Descriptive statistics & forecasting
- Experiment design & analysis
- Data modeling
- Statistical modeling & inference
- Machine learning
- Algorithmic optimization
- Data engineering
Other skills assessment frameworks
Flavors of Data Analyst and Data Scientist Roles
Conventional roles
| Categorization |
Job Titles |
| Business-focussed |
Data Analyst, Business Analyst, BI Analyst, Product Analyst |
| Modeling-focussed |
Data Scientist, Quantitative Analyst, Product Data Scientist, Research Scientist |
| Production-focussed |
Data Engineer, ML Engineer, Software Engineer, Infrastructure Engineer, Data Platform Developer, BI Developer |
Data roles by functional areas
| Categorization |
Job Titles |
| Reporting |
Reporting Analyst, Business Intelligence Analyst, Growth Analyst, Operations Research Analyst |
| Finance |
Finance Analyst, Revenue Analyst |
| Sales |
Sales Analyst, Sales Operations Analyst, Sales Engineer |
| Marketing |
Advertising Analyst, Web Analyst, Marketing Analyst, Marketing Operations Analyst |
| Human Resouces |
HR Analyst, People Analyst, Workforce Analyst |
| Operations |
Operations Analyst, Logistics Analyst, Supply Chain Analyst |
Further reading on distinctions between different roles
- Robert Chang on how data science changes as startup companies scale.
- Michael Hochster on Type A vs Type B Data Scientists
- Mikhail Popov on the distinction between Data Analyst and Data Scientists
- Nicholas Chamandy on how the company has rebranded Data Analysts as Data Scientists, and Data Scientists as Research Scientists.
Some fun and games about data science titles
Data-focussed Meetups in New York
Industry Focussed:
NB: These have few links. Please populate!
Tapwage Collections
Recommended Career Resources
