Analyst Finder – A Free Job-Matching Service for Statisticians, Data Scientists, Database Managers and Data Analysts

If you are a statistician, data scientist, database manager, or data analyst, then consider using Analyst Finder for your next job search.  It is a web site that connects job seekers in data analytics with employers.  The service is free for job seekers, and it earns money by charging companies and recruiters a small fee to find qualified candidates through its job-matching service.

To register for this service as a job seeker, you simply need to complete a check list of skills and preferences.  It’s quick and easy to do, and you can change this list whenever your wish to update your qualifications.

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Employers and recruiters can register for this service to search for qualified candidates, and the fees are displayed on the web site.

This company was founded by Art Tabachneck, a former president of the Toronto Area SAS Society and a veteran analytics professional.  In case you’re interested in learning more about him, SAS has a profile about him in recognition of his expertise in SAS programming and his contributions to online support communities and user groups.

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How to Find a Job in Statistics – Advice for Students and Recent Graduates

Introduction

A graduate student in statistics recently asked me for advice on how to find a job in our industry.  I’m happy to share my advice about this, and I hope that my advice can help you to find a satisfying job and develop an enjoyable career.  My perspectives would be most useful to students and recent graduates because of my similar but unique background; I graduated only 1.5 years ago from my Master’s degree in statistics at the University of Toronto, and I volunteered as a career advisor at Simon Fraser University during my Bachelor’s degree.  My advice will reflect my experience in finding a job in Toronto, but you can probably find parallels in your own city.

Most of this post focuses on soft skills that are needed to find any job; I dive specifically into advice for statisticians in the last section.  Although the soft skills are general and not specific to statisticians, many employers, veteran statisticians, and professors have told me that students and recent graduates would benefit from the focus on soft skills.  Thus, I discuss them first and leave the statistics-specific advice till the end.

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