Description

Responsibilities

BS in a technical/quantitative field, including business, data and analytics, engineering, etc

Hands-on experience (typically 3-5 years) carrying out data analysis, data mining and insight generation in complex, fast-paced environments

Strong business acumen

Applied knowledge of data analytics tools (e.g. business intelligence applications) and approaches across all data lifecycle stages

Experience in Microsoft Power BI, Tableau, or other data visualisation softwares

Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail

Strong communication and stakeholder management skills

Provide actionable, data-driven business and insights by combining data manipulation capabilities, business acumen and technical or operational knowledge with analysis

Maintain metrics and data visualisations (visuals, reports, and dashboards)

Autonomously execute data analysis. You apply existing data & analytics strategies relevant to your immediate scope

Be a bridge between business and PPM, digital and other teams

You partner with data engineers and data owners from the business to define and build simple data models. You integrate existing tools to automate data ingestion, data manipulation, quality control and data analysis

 

 

Education

Any Gradute