Data and Analytics Talent Acquisition Program

This research illustrates a successful hiring program that increased
the number of individuals possessing varying levels of technical
knowledge related to data science, business analytics or business
intelligence; this was accomplished by examining six main areas of
the recruitment process: structuring the recruitment process, sourcing
candidates while developing an employer brand, selecting
candidates via various recruitment methods and assessments, using
analytical tools throughout the recruitment process, aligning DATAP
with company-wide strategic initiatives, and evaluating DATAP’s
effect on the organization through metrics. A descriptive research
design method including a 5-point Likert scale was used to collect
quantitative information from 108 employees. Statistical analysis
methods including percentage calculations, weighted averages, ChiSquare tests, and Pearson’s Correlation were used to analyse the
quantitative event data gathered. In aggregate, all six areas of the
research show moderate to high effectiveness. The strongest
indicators of the use of analytics tools and the candidate selection
process were determined via statistical methods. Recommendations
to further enhance overall effectiveness include a focus on using
analytics tools, improving transparency within the recruiting process,
and creating strategies that are sensitive in relation to age.