Overview
Contributes to the development and implementation of databases, data collection systems, and data analytics to optimize statistical efficiency and quality. Supports the identification, analysis, and interpretation of trends and patterns in data.
Key Responsibilities
- Implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- Contribute to the identification, analysis and interpretation of trends or patterns, using statistical methods to identify relevant features and variables in structured sources of information and data.
- Implement process improvement mechanisms for data analytics tasks; acquire and clean data from primary or secondary sources and maintain databases/data systems.
- Contribute to the development of reports, dashboards or other tools to effectively summarize findings and convey information to management.
- Track and report on progress regarding department specific data initiatives.
- Contribute to the creation of basic data visualization outputs to aid decision-making and communications of analysis outputs.
- Contribute to project tasks, assist with data collection and initial analysis, and report unresolved issues to senior staff.
- Contribute to the production of data products like reports or newsletters related to data analysis activities.
- Contribute to data collection and gathering business requirements across departments to identify pain points and support data-driven analysis.
- Compile and clarify data insights and develop supporting materials in preparation for stakeholder communications.
- Keep abreast of the current and emerging trends and developments in data analytics best practices, technologies, tools, etc.
- Contribute to data collection and preliminary analysis to support the preparation and verification of data used in model assessments.
- Contribute to activities aimed at building capacity of staff on data analytics, including trainings for staff members and other personnel.
- Contribute to the trainings and workshops on data analytics.
- Contribute to data preparation and preliminary analysis, support team members in data verification and routine reporting tasks, help in administrative aspects of the work plan.
- Perform other related tasks as assigned.
Required Experience
A minimum of two (2) years of progressively responsible experience demonstrating ability to translate business requirements into technical solutions is required. Demonstrated ability to perform quality assurance of data analysis outputs is desirable. Demonstrated ability to assess data accuracy and consistency by performing data validation is desirable. Demonstrated skills in data storytelling and data visualization tools such as Tableau, Power BI, Qlik, and R is desirable. Demonstrated knowledge of data life cycle including data collection, data wrangling, analysis, visualization, deployment, monitoring, and reporting is desirable. Demonstrated skills on Project management is desirable.
Qualifications
An advanced university degree (Master's degree or equivalent) in computer science, data science, analytics, statistics, applied mathematics, information management, data management, information systems, information science or a related quantitative field is required. A first-level university degree (Bachelor's degree or equivalent) in combination with two (2) additional years of qualifying experience may be accepted in lieu of the advanced university degree.
