"A Career in Statistics: Beyond the Numbers" has the look and feel of a textbook. It includes advice for instructors, chapter summaries, and chapter-end discussion questions, and it's published by a textbook publisher. It also reads like a (good) textbook, which means that it is well-written, well-organized, and fairly dry. That's the way it goes. If "A Career in Statistics" is required for a class you're taking, just bite the bullet and buy the book.
Most other potential purchasers will be reading "A Career in Statistics" because they're looking for some specific advice. They may want to know whether they have what it takes to be a successful statistician (ch. 6) and whether any of the career options available to statisticians appeal to them (ch. 2-4, 12-13). They may want to know whether they should pursue an undergraduate or graduate degree, or whether an MA/MS makes more sense than a PhD (ch. 7). They may already be statisticians who are trying to land a job (ch. 8) or hoping for advice on how to function more effectively and advance their professional careers (ch. 5, 9-10, 14).
To sum up what the authors have to say in a few sentences: A statistical career is for people who enjoy doing math and love solving problems. It is not for asocial nerds, however; especially outside of academia, being able to communicate simply and clearly and to cooperate with others is essential. An undergraduate degree in statistics is worthwhile, but you will get much farther with a graduate degree. Unless you want to be an academic theoretician (and it's fine if you do), pick up substantive knowledge in a secondary field that interests you, whether it's health or business or whatever. Once you have a job, do your best to convince non-statistician colleagues and managers (where applicable) that statisticians need to be brought in during the design phase of research projects; too often, statisticians are treated like alchemists who can turn garbage (terrible data) into shining treasure. (They see the lack of quality data as such a problem that the only truly statistical chapter in the whole book, ch. 12, has data gathering as its topic.) Communication skills are as important as statistical skills; be sure you understand what you're being asked to do before you begin to do it, and be sure once you're done that you can explain your results in non-technical language (and graphics). Don't compromise on ethics; if you're being asked to slant conclusions, refuse or resign. At the same time, put organizational needs ahead of the desire to use the most sophisticated or fashionable statistical method wherever practical. Cultivate relationships with mentors, and be on the look-out for new ways to use statistical knowledge and research to advance organizational objectives. Use a sensible model for planning projects (see the book for details). Be active in professional associations.
Note that much of the authors' advice is of the "under-promise and over-deliver" variety, which you can get anywhere. However, even in their fairly general chapters on job search and on being successful in academia, they add substantial value with statistics-specific pointers.
Note also that I am not a statistician; I am a PhD-level sociologist with experience using statistics in government and academia. I requested the book because I am considering additional education in statistics. The book has given me much to think about while providing me with sound advice on work/career-related topics that, I'm sure, will prove valuable later.
Bottom line: Recommended for the book's target audiences -- students considering a career in statistics, graduates just embarking on a career, and journeyman statisticians looking for advice on advancing their careers. May also be of interest to non-statisticians like myself who use or expect to use statistics regularly in their work, as well as to non-statisticians who manage statisticians.
P.S. I forgot to mention two book highlights: First, many of the sections begin with amusing or provocative quotations. My favorite is: "If you don't like sampling, next time you take a blood test, tell them to take it all" (attributed to CBS News). Second, the authors interviewed a number of professional statisticians for the book and quote them occasionally. You can find a particularly helpful block of interview excerpts discussing tips for aspiring statisticians on pp. 190-193.