Build strong relationship with business stakeholders; monitor operational process and marketing campaigns; identify key areas for improvements that will create the most value to the organization
Identifying issues, gathering information from various sources, analyzing data, interpreting patterns and trends, proposing solutions, and tracking initiatives with the purpose of generating insights and enhancing operational efficiency
Translate data speak to human speak by effectively conceptualizing analysis to team members and business stakeholders
Support various business functions with the maintenance of various management reports
Relevant Experience
Familiar with data tools/programs such as MySQL, Excel, and Tableau Software. Experience with R or Python is a plus
Understand the concepts of data modelling such as logistic regression, churn, and predictive modelling
Ability to use data visualization to create meaningful insight
Requirements
A Bachelor's degree in engineering, computer science, or business-related fields
Minimum 4-6 years experience, preferably with an organisation with complex data requirements, strong data-driven businesses and fast-paced business cycles
Passionate about solving problems – possesses a relentless need for investigation and data exploration
Strong critical thinking and ability to frame issues logically
Self-motivated, independent learner, and willing to share knowledge with team members
Detail-oriented and efficient time manager in a dynamic and fast-paced working environment
Ability to present on a complex subject clearly and coherently