Designing experiments is a key part of Data Science work. Another key part is determining where & how revealing observations can be made. The analysis part is

Designing experiments is a key part of Data Science work. Another key part is determining where & how revealing observations can be made. The analysis part is usually quite simple, often if it gets really complex then that's a sign that the data is being tortured. Sometimes the marginal gains that complex methods create (vs simple but good approaches) are not worthwhile even if they are valid - simply in terms of time spent and difficulty in communications.