Develop concrete business development plans, including but not limited to customer acquisition, cross-selling, up-selling, and retention programs, to nurture high-potential and high-value customer segments through targeted acquisition, development, and consolidation strategies
Develop predictive and forecasting capability that enables Product Owners and senior leadership to anticipate and address challenges proactively rather than responding after the fact.
Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks or issues, and timelines for successful client outcomes.
Develop predictive and forecasting capability that enables Product Owners and senior leadership to anticipate and address challenges proactively rather than responding after the fact.
Carry out both reactive and proactive data analysis of large datasets using a wide range of technologies, database management systems, business information reporting and visualisation software
Collaborate with cross-functional stakeholders (product, engineering, operations, and security teams) to translate analytical findings into business strategies and product improvements.
Design, develop, and build data analytics and AI solutions with the following key technologies: Python web frameworks (Flask, FastAPI), Apache Spark, Oracle database and Linux.
Develop predictive and forecasting capability that enables Product Owners and senior leadership to anticipate and address challenges proactively rather than responding after the fact.
Skills and knowledge in business intelligence tools, data modelling software and programming or scripting languages that support model development, manipulation, aggregation and visualization.
Proficiency in at least one programming language (e.g. R, Python). Familiarity with Databricks, SparkR, PySpark or working with large datasets will be advantageous
Design, develop, review, and maintain curriculum, course materials, and assessments, and recommend enhancements to improve student learning outcomes, performance, and employability.
Go beyond passively fulfilling data requests — actively participate in business discussions and drive data analysis to genuinely influence business decisions.
Data and analytics: Compile, organise and analyse data for different sub-teams; prepare summaries, reports and presentation materials to support planning and decision-making.