[What you will be working on]
1. Project Management
a. Project manage and work closely with vendors and internal stakeholders to deliver on data related implementations ensuring that deliverables and objectives are met within agreed scope and timelines.
b. Collaborate with cross-functional teams, including data scientists, data engineers, DevOps engineers, product managers, business analysts and business stakeholders, to develop and deploy data solutions into analytics platforms and production systems.
c. Plan, execute and monitor project milestones and ensure timely update to management on project progress and issues.
2. Data Analysis and Insights
a. Conduct in-depth analysis to identify travel & visitor trends, patterns, and insights, including cross-datasets analyses.
b. Perform advanced analysis (e.g. predictive analytics and unstructured data analysis) and ad-hoc analytics, reporting and data visualisations relevant to project needs.
c. Collaborate with various stakeholders to communicate and refine findings & insights, so as to lead to actionable recommendations and outcomes.
d. Develop new data visualisations and enhance existing reports and dashboards.
3. Developing Data Solutions
a. Work with stakeholders to gather and document requirements for new data / machine learning initiatives or enhancements to existing data / machine learning pipelines.
b. Work closely with data science team and business stakeholders to identify, define, ingest and process data from multiple sources in support of analytics / ML model development.
c. Work with other large, complex datasets and solve non-routine analysis problems, applying advanced analytical methods as required.
d. Design and develop visualizations that empower users with actionable insights. Utilize best practices in data visualization to ensure clarity, engagement, and effective communication of data, and refine visualization using agile approach for optimal user experience.
4. Data Solution Quality Management
a. Monitor migrated data and developed pipelines / solutions, that they continue to perform as expected, including tracking of data quality scores.
b. Support the testing and validation of fixes and enhancements where required.
5. Data Solution Testing
a. Collaborate with vendor and internal development teams to understand product functionalities, developed data solutions and data migration approach, ensuring comprehensive testing coverage.
b. Review test plan & test cases that confirm solution requirements and data accuracies, and ensure that invalid, unexpected inputs or conditions are effectively handled.
c. Execute test plans to ensure that data solutions meet quality standards before deployment.
d. Identify, document, and track bugs and issues, through to resolution, working closely with vendor to prioritize fixes.
6. Data Capability Development
a. Adopt best data practices, including appropriate use of data and data governance are upheld across data initiatives.
b. Develop and carry out internal training programs aimed at improving the data and visualization capabilities of staff within the organization.
[What we are looking for]