Manager II: Data Analyst (P7) (Library and Information Centre: Client Services Department) (Re-advert) at University of Johannesburg

Job Purpose:

• To design, manage, and analyse data systems that generate strategic insights into Library service delivery, user behaviour, and resource optimisation.

Responsibilities: 

• Design and maintain automated pipelines for collecting, cleaning, and validating library usage, digital resource, and client experience data.
• Develop interactive dashboards and visualisations (Power BI, Tableau, or similar) to communicate insights to technical and non-technical stakeholders.
• Conduct statistical analysis, trend forecasting, and segmentation to inform service design, collection development, and spatial planning.
• Lead annual client services surveys: instrument design, sampling, deployment, analysis, and reporting.
• Mentor and provide technical guidance to Library support staff on data literacy and collection protocols.
• Collaborate with ICT, institutional research, and external vendors to integrate analytics tools and ensure data governance compliance (POPIA).
• Champion a culture of data-informed decision-making across the Library and Information Centre.
• Contribute to institutional reporting cycles, including DHET, and internal strategic reviews.

Minimum requirements

• A Bachelor’s degree (NQF Level 7) or equivalent in Data Science, Statistics, Applied Mathematics, Informatics, Operations Research, Computer Science, Information Systems, Business Analytics, Econometrics or a related quantitative field (Library and Information Science candidates with data analytics training and experience will also be considered)
• Minimum two (2) years' experience in a data analysis role in academic, research and/or library environment.
• Demonstrable proficiency in at least one of: Python, R, SQL, or advanced Excel for data manipulation and analysis.
• Experience with data visualisation tools (Power BI, Tableau, Looker Studio, or similar).
• Understanding of research ethics, data privacy (POPIA), and responsible data practice.

Competencies and Behavioural Attributes:

• Analytical rigour: Ability to translate ambiguous questions into structured analytical approaches.
• Technical agility: Comfort learning new tools, APIs, and data environments quickly.
• Communication excellence: Skilled at presenting complex findings clearly to diverse audiences, written, visual, and verbal.
• Collaborative mindset: Works effectively across functional teams; embraces principles of collective success.
• Initiative & innovation: Proactively identifies opportunities to enhance data quality, accessibility, and impact.
• Ethical grounding: Committed to equity, transparency, and responsible use of data in service of public good.
• Adaptability: Thrives in a fast-paced, mission-driven environment with evolving.

Deadline:24th April,2026