COMPETENCY MODEL FOR PEOPLE ANALYTICS: BRIDGING DATA SCIENCE AND HRM PRACTICES

This study aims to explore the Knowledge, Skills, and Abilities (KSA) and Key Responsibility Areas (KRA) of data scientists supporting the people analytics team in developing a competency model based on human capital theory and competency-based HR model. We systematically identify key knowledge,...

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Main Authors: MD. TARIQUE JAWAID, SAIDALAVI K, RAMONA BIRAU, VIRGIL POPESCU, BHARAT KUMAR MEHER
Format: Article
Language:English
Published: Academica Brâncuşi 2025-02-01
Series:Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
Subjects:
Online Access:https://www.utgjiu.ro/revista/ec/pdf/2025-01/06_Jawaid.pdf
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author MD. TARIQUE JAWAID
SAIDALAVI K
RAMONA BIRAU
VIRGIL POPESCU
BHARAT KUMAR MEHER
author_facet MD. TARIQUE JAWAID
SAIDALAVI K
RAMONA BIRAU
VIRGIL POPESCU
BHARAT KUMAR MEHER
author_sort MD. TARIQUE JAWAID
collection DOAJ
description This study aims to explore the Knowledge, Skills, and Abilities (KSA) and Key Responsibility Areas (KRA) of data scientists supporting the people analytics team in developing a competency model based on human capital theory and competency-based HR model. We systematically identify key knowledge, skills, abilities, and key responsibilities for data scientists working in people analytics amid the emerging and ever-expanding role of data scientists. We analyzed the 100 Job advertisements collected from Indian job portals and 20 in-depth semi-structured interviews with data scientists working in people analytics. We follow the competency-developing framework proposed by Campion et al. (2011) and adopted by McCartney et al. (2021). This study offers evidence-based insights into the ever-expanding role competencies of HR analytics-specific data scientists and contributes to the existing literature on people analytics. It provides a list of competencies required to perform as a data scientist in people analytics. Besides domain-specific technical knowledge, they require a range of soft skills like “storytelling and communication” and consulting; HR, and business acumen competencies. The main implication of this study is to train data scientists intended to work in people analytics and recruitment and selection. This study provides an evidence-based competency model for data scientists who intend to work in the people analytics domain. It links the model to the Competency-based HR model and Human Capital Theory.
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series Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
spelling doaj-art-504b35c24b7941f7afd8fde6edf77a912025-08-20T02:58:34ZengAcademica BrâncuşiAnalele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie1844-70072344-36852025-02-01116775COMPETENCY MODEL FOR PEOPLE ANALYTICS: BRIDGING DATA SCIENCE AND HRM PRACTICESMD. TARIQUE JAWAID 0SAIDALAVI K1RAMONA BIRAU 2VIRGIL POPESCU 3BHARAT KUMAR MEHER4DEPARTMENT OF MANAGEMENT AND COMMERCE MAULANA AZAD NATIONAL URDU UNIVERSITY, HYDERABAD, INDIA DEPARTMENT OF MANAGEMENT AND COMMERCE, MAULANA AZAD NATIONAL URDU UNIVERSITY, HYDERABAD, INDIANIVERSITY OF CRAIOVA, "EUGENIU CARADA" DOCTORAL SCHOOL OF ECONOMIC SCIENCES, CRAIOVA, ROMANIA & ”CONSTANTIN BRÂNCUȘI” UNIVERSITY OF TÂRGU JIU, FACULTY OF ECONOMIC SCIENCE, TG-JIU, ROMANIAUNIVERSITY OF CRAIOVA, FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION, CRAIOVA, ROMANIA DEPARTMENT OF COMMERCE, PURNEA UNIVERSITY, PURNIA BIHAR, INDIA This study aims to explore the Knowledge, Skills, and Abilities (KSA) and Key Responsibility Areas (KRA) of data scientists supporting the people analytics team in developing a competency model based on human capital theory and competency-based HR model. We systematically identify key knowledge, skills, abilities, and key responsibilities for data scientists working in people analytics amid the emerging and ever-expanding role of data scientists. We analyzed the 100 Job advertisements collected from Indian job portals and 20 in-depth semi-structured interviews with data scientists working in people analytics. We follow the competency-developing framework proposed by Campion et al. (2011) and adopted by McCartney et al. (2021). This study offers evidence-based insights into the ever-expanding role competencies of HR analytics-specific data scientists and contributes to the existing literature on people analytics. It provides a list of competencies required to perform as a data scientist in people analytics. Besides domain-specific technical knowledge, they require a range of soft skills like “storytelling and communication” and consulting; HR, and business acumen competencies. The main implication of this study is to train data scientists intended to work in people analytics and recruitment and selection. This study provides an evidence-based competency model for data scientists who intend to work in the people analytics domain. It links the model to the Competency-based HR model and Human Capital Theory. https://www.utgjiu.ro/revista/ec/pdf/2025-01/06_Jawaid.pdfcompetency mappingdata scientistshuman resources managementhr analyticspeople analyticsbusiness acumen
spellingShingle MD. TARIQUE JAWAID
SAIDALAVI K
RAMONA BIRAU
VIRGIL POPESCU
BHARAT KUMAR MEHER
COMPETENCY MODEL FOR PEOPLE ANALYTICS: BRIDGING DATA SCIENCE AND HRM PRACTICES
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
competency mapping
data scientists
human resources management
hr analytics
people analytics
business acumen
title COMPETENCY MODEL FOR PEOPLE ANALYTICS: BRIDGING DATA SCIENCE AND HRM PRACTICES
title_full COMPETENCY MODEL FOR PEOPLE ANALYTICS: BRIDGING DATA SCIENCE AND HRM PRACTICES
title_fullStr COMPETENCY MODEL FOR PEOPLE ANALYTICS: BRIDGING DATA SCIENCE AND HRM PRACTICES
title_full_unstemmed COMPETENCY MODEL FOR PEOPLE ANALYTICS: BRIDGING DATA SCIENCE AND HRM PRACTICES
title_short COMPETENCY MODEL FOR PEOPLE ANALYTICS: BRIDGING DATA SCIENCE AND HRM PRACTICES
title_sort competency model for people analytics bridging data science and hrm practices
topic competency mapping
data scientists
human resources management
hr analytics
people analytics
business acumen
url https://www.utgjiu.ro/revista/ec/pdf/2025-01/06_Jawaid.pdf
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AT saidalavik competencymodelforpeopleanalyticsbridgingdatascienceandhrmpractices
AT ramonabirau competencymodelforpeopleanalyticsbridgingdatascienceandhrmpractices
AT virgilpopescu competencymodelforpeopleanalyticsbridgingdatascienceandhrmpractices
AT bharatkumarmeher competencymodelforpeopleanalyticsbridgingdatascienceandhrmpractices