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Genre-Based Reading Courses at English Dept Facilitating Data Analyst Competency

In today’s professional landscape, data analyst skills have become essential across industries. Organizations depend on data to make informed decisions, identify market trends, and improve operational efficiency. Data analysts play a central role in this process by collecting, cleaning, interpreting, and presenting data that supports strategic planning and innovation. Their ability to turn complex datasets into actionable insights gives businesses a competitive advantage and enables more precise problem-solving across domains like healthcare, finance, education, and marketing.

Although not immediately obvious, courses in Advanced Reading or Genre-Based Reading at English Department, or other relevant departments as well, significantly contribute to the development of data analyst competencies. These courses train students in critical thinking, pattern recognition, and information evaluation—core abilities for any data professional. For example, identifying the purpose, structure, and rhetorical strategies in different genres parallels the analytical process of detecting trends or anomalies in datasets. Furthermore, these courses emphasize extracting relevant information from complex sources, a skill essential for navigating large volumes of data.

In addition, genre-based reading helps students develop strong communication skills by teaching them to recognize how language and format shape meaning. This understanding translates directly into crafting effective data visualizations, reports, and presentations tailored to different audiences. As data analysts must often explain their findings to non-technical stakeholders, the ability to communicate clearly and persuasively is vital. In short, reading courses do not only enhance students' interpretive abilities but also equip them with the analytical mindset and expressive tools necessary for success in data-driven professions.

Salary of Competent Data Analysts

The salary of data analysts varies widely depending on location, experience, and industry. In Indonesia, entry-level analysts typically earn between IDR 5–10 million per month, while mid-level professionals can earn IDR 10–20 million, and senior analysts may reach IDR 40 million or more. Internationally, entry-level salaries range from USD $50,000–70,000 annually, with experienced analysts earning upwards of $90,000. These figures reflect the strong demand for data professionals in today’s job market. This directly aligns with the university’s tagline, “Siap Kerja, Menjadi Pengusaha” (Ready to Work, Become an Entrepreneur). Data analyst skills prepare graduates to enter the workforce with in-demand technical and critical thinking abilities, making them job-ready. At the same time, these skills empower aspiring entrepreneurs to leverage data for market analysis, strategic planning, and performance optimization, enabling them to build and grow data-informed businesses. To conclude, training in data analysis supports both professional employability and entrepreneurial success.

Aligning Courses with the University Mission: “Siap Kerja, Menjadi Pengusaha”

To realize the university’s mission of preparing students to be both job-ready and entrepreneurially minded, every course—regardless of discipline—must intentionally cultivate relevant, real-world competencies. This means embedding practical skills, critical thinking, and entrepreneurial perspectives into the curriculum. For example, courses in Advanced or Genre-Based Reading can go beyond traditional literacy goals by developing data literacy and analytical thinking. Students learn to evaluate complex information, recognize patterns, and communicate insights—skills that directly support careers in data analysis, a high-demand profession with competitive salaries and flexible career pathways.

At the same time, these competencies support the entrepreneurial spirit. A student trained in analysis and evidence-based reasoning is better equipped to understand market needs, identify business opportunities, and make data-driven decisions—key traits for successful entrepreneurs. Similarly, courses in science, humanities, or even arts can integrate digital tools, project-based learning, and community engagement to simulate workplace challenges and entrepreneurial ventures.

By aligning course outcomes with the dual goals of employability and innovation, universities ensure that graduates should not only be academically capable but also economically and socially empowered. This mission-driven approach makes education more meaningful, actionable, and future-oriented—bringing to life the university’s promise of producing graduates who are truly “Siap Kerja, Menjadi Pengusaha.”

Adzanil P Septy, Lecturing in Genre-Based Reading at English Dept Universitas Bung Hatta (11062025)

Note: Other course that may be projected to data analyst competency include research methodology, statistics, education management and analysis, and the like