Deeply understand and have applied a wide range of statistical methods, including more advanced statistical methodologies and models, e.
g. causal inference from observational data
Understand the end-to-end lifecycle of the data and the data systems deployed in your immediate team; can make simple changes to the data systems in your immediate scope;
can write and maintain advanced data pipelines (if needed); define and implement data schemas
- Write and maintain moderately complex data pipelines; have advanced scripting skills in R or python; have expert SQL skills
- have deep understanding in at least one data domain area within your business entity and awareness of related domains
- provide leading insight of industry and technology trends and best practices; you advocate for data analytics best practices in your immediate area
- familiar with the data sources needed to carry out analysis in your team’s scope; you can build simple data pipelines (if needed);
you have advanced SQL skills.
have a deep understanding of several commonly available Performance Analytics approaches and Problem-solving tools and you can effectively trade-off those approaches and tools for the problem at hand.
you exhibit strong judgement on the approximations you make for time sensitive analysis.
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