DATA ANALYST
9000 - 12000 SGDVINOVA PTE. LTD.
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.
• Three years of experience as a Data Analyst, Business Analyst or a similar role involving data analysis.
• 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.
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