Data Analyst [CCP for ICT Professionals (Data and AI)]

Overview

The Data Analyst collects, processes and analyses data, prepares reports and visualisations, and works with project

teams to turn business requirements and data findings into practical solutions.

Key responsibilities

• Evaluate opportunities to improve Vinova's client project reporting and internal workflows using data analytics and

digital tools; document the expected business benefits and feasibility of proposed solutions.

• Collaborating with internal teams to translate business requirements into technical solutions.

• Meet project stakeholders to gather and document data and reporting requirements for Vinova's client projects; define

the business problem, priorities, success measures and potential analytics solutions.

• Developing and maintaining dashboards, KPIs, and reports that provide insights into business performance.

• Using statistical methods and algorithms to develop predictive models for business metrics and performance.

• Designing and implementing data models to predict business outcomes and trends.

• Identifying process inefficiencies and suggesting datadriven improvements for operational and financial

optimization.

• Using statistical methods and algorithms to develop predictive models for business metrics and performance.

• Ensuring data accuracy and integrity through thorough cleaning, validation, and verification processes.

• Ensure compliance with data ethics standards by handling data responsibly, maintaining privacy, and applying ethical

principles in data analysis and reporting

• Creating clear, easy-to-understand visualizations that represent complex datasets for various stakeholders

• Use stakeholder interviews, problem framing, ideation and prototype feedback to develop user-centred improvements

to client reporting and analytics workflows.

• Plan and track assigned data analysis deliverables, dependencies and review milestones in Jira; report progress and

risks to the Project Manager and complete tasks against agreed project timelines.

• Collaborate with cross-functional teams and stakeholders to gather data insights, share findings, and establish a

strong network for ongoing data-driven project

Qualifications and skills

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics or a related field.

• Proficiency in SQL, Python or R, and data visualisation tools such as Power BI or Tableau.

• Knowledge of statistical analysis, data modelling, data cleaning and validation.

• Ability to communicate analytical findings and work with technical and non-technical stakeholders.