Having spent nearly a combined 40 years in Data & Analytics we have experienced the entire spectrum of analytic scenarios. Two of the most compelling include how aspiring analyst seek job opportunities and how employers hire analytic talent.
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Individuals pursuing careers in Data & Analytics have a wide variety of educational options that teach a vast array of analytical disciplines, concepts, and skills. However, a challenge presents itself once these job-seekers begin their employment search. It is common for employers to require candidates have between 1 and 4 years of experience for entry level positions.
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When observing this challenge from the employers perspective it is important to identify the key factors in hiring a candidate. Three of the top factors include cost, time to value, and retention. Costs must be low, the new hire needs to become productive quickly, and they must become a long term member of the organization. The best way for an employer to assess these factors is to require candidates with previous experience.
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SimDnA (Simulated Data & Analytics) has developed an innovative solution for both job-seekers and employers. Our platform is centered around advanced simulation technology that accurately replicates real business environments. These environments provide the opportunity for job-seekers to learn, train, and demonstrate their analytic capabilities. For employers, these simulated environments create the opportunity for candidate evaluation equal to on the job experience.