No one should be an island in a sea of data and analysis decisions...
In my own experience hacking through thickets of data and making analysis decisions, I've learned how valuable it can be to ask someone to independently vet or challenge my rationale for carrying out a particular statistical analysis, as well as help me better understand the pros and cons of different analysis approaches. Every time I've consulted someone for help, I've learned something new and seen my data with new eyes.
Informally and formally I have provided data and statistical consulting services, both to colleagues in the field and to those in other disciplines, including educators in the humanities and social sciences more broadly (e.g., Dartmouth's Institute for Writing & Rhetoric Summer Seminar for data-driven research). I have worked with both univariate and multivariate data, and analysis procedures (frequentist and Bayesian) in R, SPSS, and HLM.
Nothing is trivial when it comes to statistical analysis. So, when consulting I will often start with the "basics," such as helping someone better understand their data's structure, identifying what's been measured (and not measured!), determining the validity represented by the measured variables, and in turn formulating appropriate questions to ask of the data set(s).
If you would like to learn more about the consulting services described above, and/or if you have questions about statistical analysis, please contact me at rich.lopez [at] dartmouth [dot] edu.