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Data analytics skills required for accounting industry jobs: analysis and strategies

https://doi.org/10.52821/2789-4401-2023-6-159-170

Abstract

Purpose of the research. There’s a lack of specific advice / tactics for those interested in switching from public practice to industry. Purpose of the research is to fill the current gap and provide specific tactics for aspiring professionals both in terms of understanding the skills required to make a transition, as well as the ways to develop those skills.

Methodology. This study employed a qualitative research approach to explore the data analytics skills required for audit and corporate accounting jobs. The study adopted a case study design to examine the specific data analytics skills required for audit and corporate accounting roles.

Originality / value of the research. By combining the researcher's personal experience, industry insights, and academic literature, this study provides valuable insights into the data analytics skills required for audit and corporate accounting roles. The study's findings and recommendations offer practical guidance for auditors transitioning to corporate accounting positions and for corporate accountants seeking career advancement.

Findings. This article delved deeply into the data analytics skills required in corporate reporting, but absent in audit due to job differences. The article provides an overview the current software market and provide practical tips on learning and practicing new tools that could (1) provide required skills for a successful industry shift and (2) cementing and upscaling your role in reporting department.

About the Author

Ye. Rakishev
Narxoz University
Kazakhstan

Yeldar Rakishev – ACCA International Assembly delegate from Central Asia, Adjunct Associate Professor

Almaty



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Review

For citations:


Rakishev Ye. Data analytics skills required for accounting industry jobs: analysis and strategies. Central Asian Economic Review. 2023;(6):159-170. https://doi.org/10.52821/2789-4401-2023-6-159-170

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ISSN 2789-4398 (Print)
ISSN 2789-4401 (Online)