Having served roughly 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 access to many educational options that cover a wide range 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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Employers looking to hire analytic talent are focused on three key factors. These include cost, time to value, and long term retention. Costs must be optimized and be kept low as possible, the new hire must become productive quickly, and they must become a long term member of the organization. Presently, the best way for employers to assess these factors is by requiring candidates have prior analytic 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.

- For job-seekers these environments provide the opportunity to learn, train, and demonstrate Data & Analytic skills and capabilities.

- For employers these environments provide the opportunity to evaluate candidates beyond their stated levels of experience (resume and interview) to include the confirmation of Data & Analytic skills and capabilities.