Abstract
Businesses constantly strive to build organizational capacity to use data strategically. As a result, there is a growing demand for business analytics professionals. While higher education systems worldwide have been adapting to build competencies, they must meet employees' expectations. Curriculum design for delivering business analytics competencies remains a challenge due to the rapidly evolving nature of business analytics as a discipline. The paper aims to decode the industry expectations for the Business Analytics profile. This study investigates the skills employers value by analyzing job descriptions. We use a text-mining approach to understand the weightage of different skills and mine skill clusters within business analytics roles. The core skill clusters are hard skills related to Big data, Business Intelligence, and analytical techniques. Results also suggest that traditional machine learning (ML) skills, typically expected in a data science profile, are also being sought after in a business analytics role. Surprisingly soft communication and stakeholder management skills are also emerging as essential skills for business analytics roles. This study provides a better understanding by investigating the interplay between the demand for skills in the job market and curriculum development.
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Data is available for analysis on request.
References
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Swarnalakshmi Umamaheswaran—Conceptualization the study and primary draft.
Semila Fernandes – Draft support and analysis.
V G Venkatesh – Conceptualization the problem and review
Nivyasree Avula – Data analysis and draft support.
Yangyan Shi – Project management.
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Appendices
Appendix 1
A sample representation of the word embeddings matrix
Word | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Machine | 0.166111 | 0.09104 | 0.00231 | 0.232103 | 0.203361 | 0.425308 | 0.34508 | −0.48154 | 0.131619 | 0.024492 | 0.337346 |
Solving | −0.174687 | 0.02781 | 0.083754 | 0.4068037 | 0.196105 | 0.063971 | 0.074618 | −0.521255217 | −0.188442838 | 0.381069409 | 1.086610767 |
R | −0.158337 | 0.026459 | 0.224271 | 0.126814 | 0.107373 | 0.011824 | 0.120132 | 0.225009 | 0.085815 | 0.031477 | 0.1108091 |
Software | 0.287281 | 0.745196 | 0.047879 | 0.06879 | 0.123567 | 0.021175 | 0.155538 | 0.814579 | 0.104135 | 0.230214 | 0.06.1904 |
Management | 0.048752 | 0.086445 | 0.192387 | 0.196489 | 0.145513 | 0.224466 | 0.012185 | 0.275526 | 0.1066681 | 0.624415 | 0.297368 |
Business | −0.104144 | 0.321072 | 0.061607 | 0.116188 | 0.48415 | 0.010568 | 0.125172 | 0.155501 | 0.1253807 | 0.280293 | 0.060815 |
Services | 0.158654 | 0.509476 | 0.091437 | 0.084178 | 0.526618 | 0.1824/0 | 0.231064 | 0.646547 | 0.108175 | 0.1155457 | 0.08309 |
Python | −0.185671 | 0.022561 | 0.045894 | 0.268055 | 0.106672 | 0.265782 | 0.411499 | 0.272806 | 1.098479 | 0.166484 | 0.132431 |
Communication | 0.439774 | 0.104966 | 0.140517 | 0.234188 | 0.167221 | 0.31994 | 0.174005 | 0.188467 | 0.154006 | 0.259996 | 0.022275 |
Statistical | 0.0226633 | 0.016111 | 0.166498 | 0.137003 | 0.032171 | 0.567657 | 0.3231432 | 0.5687676 | 0.044619 | 0.402201 | 0.027083 |
Learning | −0.154584 | 0:062157 | 0.070244 | 0.114902 | 0.134135 | 0.954792 | 0.978778 | 0.228455 | 0.18226 | 0.013071 | 0:208,400 |
Business | −0.107748 | 0.200267 | 0.270703 | 0.140111 | 0.140412 | 0.764564 | 0.1116667 | 0.121695 | 0.15048 | 0.5440423 | 0.176142 |
SOL | 0.102846 | 0.199471 | 0.228244 | 0.038804 | 0.089859 | 0.242146 | 0.262938 | 0.333795 | 0.146604 | 0.037759 | 0.103265 |
Management | 0.23271 | 0.064654 | 0.106576 | 0.098199 | 0.324683 | 0.455458 | 0.04439 | 0.096752 | 0.176819 | 0.330731 | 0.221581 |
Analysis | −0.49346 | 0.101844 | 0.02765 | 0.124615 | 0.071385 | 0.364187 | 0.124347 | −0.2038.74 | −0.019686 | 0.117396 | 0.041329 |
Data | 0.103314 | 0.245037 | 0.135034 | 0.110859 | 0.247412 | 0.196121 | 0.281067 | 0.231332 | 0.276983 | 0.224337 | 0.31168 |
Skills | 0.315291 | 0.070436 | 0.089975 | 0.046975 | 0.240875 | 0.402523 | 0.176592 | 0.047961 | −0.109387 | 0.142205 | 0.004808 |
Data | 0.02974 | 0.100618 | 0.225025 | 0.093136 | 0.230114 | 0.3518 | 0.246617 | 0.182268 | 1.223403 | 0.147645 | 0.158774 |
Word | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 |
---|---|---|---|---|---|---|---|---|---|---|---|
Machine | 0.064647 | 0.075751 | 0.57327 | 0.085089 | 0.183984 | 0.151093 | 0.45239 | 0.023524 | −0.219625 | 1.121737 | 0.023616 |
Solving | 1.56669405 | 0.611934911 | 0.049067284 | 0.864201022 | 0.698396481 | 0.541545838 | 0.462898951 | −0.235422059 | −0.58759429 | −1.408454721 | −1.691669233 |
R | 0.202213 | 0.013871 | 0.354635 | 0.19911/ | 0.413967003 | 0.564995838 | 1.030568951 | 0.230907 | 0.107619 | 0.05827 | 0.096076 |
Software | 0.147246 | 0.1103373 | 0.175912 | 0.050168 | 0.042373 | 0.1056127 | 0.064192 | 0.047542 | 0.032073 | 0.077134 | 0.097979 |
Management | 0.024677 | 0.112967 | 0.338999 | 0.233461 | 0.296889 | 0.459105 | 0.017585 | 0.493788 | 0.157935 | 0.188399 | 0.151325 |
Business | 0.033518 | 0.262869 | 0:231,262 | 0.003866 | 0.186603 | 0.02647 | 0.035047 | 0.143712 | 0.11851 | 0.05034 | 0.036991 |
Services | 0.226026 | 0.236173 | 0.334542 | 0.16947 | 0.1117896 | 0.137754 | 0.051869 | 0.019454 | 0.07501 | 0.0453076 | 0.168561 |
Python | 0.184399 | 0.075837 | 0.362019 | 0.017246 | 0.026958 | 0.13442 | 0.238691 | 0.187989 | 0.1930 10 | 0.095498 | 0.157045 |
Communication | 0.087304 | 0.029641 | 0.4G6319 | 0.010244 | 0.027182 | 0.2006G8 | 0.057719 | 0.004883 | 0.1599 | 0.008718 | 0.130296 |
Statistical | 0.289513 | 0.125328 | 0.423394 | 0.065703 | 0.132617 | 0.1289921 | 0.29641 | 0.038774 | 0.114162 | 0.112237 | 0.1548315 |
Learning | 0.149934 | 0.007986 | 0.470767 | 0.084865 | 0.170095 | 0.080661 | 0.354129 | 0.009622 | 0.119076 | 1.193446 | 0.018928 |
Business | 0.192508 | 0.007759 | 0.103098 | 0.18086 | 0.158796 | 0.266793 | 0.10752 | 0.295556 | 0.226707 | 0.1088144 | 0.118939 |
SOL | 0.862718 | 0.123206 | 0.192275 | 0.076167 | 0.142004 | 0.094731 | 0.199767 | 0.056672 | 0.034209 | 0.065736 | 0.174673 |
Management | 0.001576 | 0.047249 | 0.31794 | 0.197185 | 0.210533 | 0.237208 | 0.127381 | 0.298306 | 0.461197 | 1.177536 | 0.149019 |
Analysis | 0.133892 | 0.077317 | 0.272903 | 0.032139 | 0.029963 | 0.252035 | 0.329358 | 0.1659 | 0.201189 | 0.092065 | 0.062256 |
Data | 0.077837 | 0.104732 | 0.215671 | 0.078389 | 0.192098 | 0.262089 | 0.151986 | 0.1687 | 0.038851 | 0.055887 | 0.19178 |
Skills | 0.202209 | 0.095687 | 0.40489 | 0.083414 | −0.072855 | 0.022825 | 0.042708 | 0.057475 | −0.312555 | −0.031924 | 0.089935 |
Data | 0.117891 | 0.224107 | 0:315,025 | 0.119626 | 0.035111 | 0.175102 | 0.365172 | 0.21558 | 0.1534 | 0.167443 | 0.119451 |
Appendix 2
Business analytics skills-key words mining
Topic | Count | Name | Keywords |
---|---|---|---|
13 | 69 | anomaly_python_ml_tensorflow | machine, learning, anomaly, deep, python, tensorflow, ai, predictive, modelling, systems, cloud |
35 | 34 | learning_spark_python_data | ml, learning, spark, python data, databases, analytics, computing, nlp, Hadoop |
9 | 80 | learning_data_algorithms_python | learning, data, algorithms, python, big data, hadoop, analytics, nosql, predictive, ml |
22 | 52 | statistical_learning_python_data | statistical, learning, python, big data, science, visualization, regression, analytics, predictive |
25 | 49 | learning_data_hadoop_hive | deep, learning, Hadoop, python, hive, analytics, regression, classification, visualization |
5 | 89 | data_hadoop_azure_sql | data, hadoop, azure, sql, python, scala. nosql,, warehousing, processing, analytics |
23 | 51 | business_analytics_statistics_researc | business, analytics, excel,, statistics, research, sas, data, analyzing, intelligence, market |
19 | 54 | analytics_marketing_insights_google | Marketing analytics, marketing, adobe, google, forecasting, data, ad, excel, sql, sitecatalyst |
7 | 84 | data_analytics_statistics_regression | data, analytics, statistics, regression, business, statistical, excel, tableau, sas, economics, management |
17 | 55 | data_sql_excel_python | data, sql, excel, python, statistics, econometrics, analytics, sas, bi, research |
0 | 152 | tableau_sql_sas_warehousing | tableau, sql, sas, warehousing, services, analytics, skills, management, metadata, programming |
8 | 83 | analytics_data_sql_visualisations | analytics, business, data, sql, visualization, tableau, insights, excel, bi, dashboards |
2 | 103 | skills_excel_business_sql | skills, excel, business, sql, sas, analytics, oracle, statistics,, python, programming, |
3 | 93 | analytics_skills_business_modelling | analytics, data, business, sas, sap, management, modelling, intelligence, excel, engineering |
15,16,14,&10 (merged) | 180 | excel_office_funtional_process | excel, office, functional, process, analytics, salesforce, software, vba, sap, database |
32 | 38 | advanced_analytics_consulting_solution | advanced, analytics. consulting, solutions, customer, campaign, commerce, logistics, sas, statistics |
28 | 45 | research_bio_biotechnology_pharmaceuticals | research, biotechnology, pharmaceuticals, quantitative, business, analysis, clinical, data, reports, management |
4 | 91 | banking_financial_management_gscs | Management, data, financial, banking, services, commercial, wealth, asset, excel, analysis, tableau, sql, python, PowerPoint, reporting |
18 | 54 | sales_consulting_communication_skills | sales, consulting, communication, skills,, analytics, planning, documents, development, business, management |
26 | 49 | crm_management_services_documentations | crm, management, services, documentation, marketing, software, functional, knowledge, sap, bw |
20 | 54 | sap_management_software_services | sap, management, software, services, skills, configuration, agile |
1 | 120 | software_management_testing_documentation | software, management, testing, documentation, design, workflow, programming, requirements, validation, stakeholder |
11 | 73 | agile_software_scrum_employment | agile, software, scrum, employment, development, documentation, programming, testing, methodologies, collaboration |
36 | 41 | documentation_programming_requirements | documentation, programming, employment, requirements, services, technical, implementation, communication, tableau, analytics |
21 | 52 | employment_application_software_services | employment, application, software, services, programming, skills, requirements, planning, presentation, management |
12 | 69 | application_employment_programming | application, employment, programming, services, software, analyst, functional, requirements, design, technical |
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Umamaheswaran, S., Fernandes, S., Venkatesh, V.G. et al. What Do Employers Look for in “Business Analytics” Roles? – A Skill Mining Analysis. Inf Syst Front (2023). https://doi.org/10.1007/s10796-023-10437-y
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DOI: https://doi.org/10.1007/s10796-023-10437-y