Overview
The Data Specialist will develop and implement databases, data collection systems, and data analytics to optimize statistical efficiency and quality. The role involves identifying and analyzing trends, developing reports and visualizations, and supporting project execution through data analysis.
Key Responsibilities
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
- Identify, analyze, and interpret trends or patterns using statistical methods.
- Develop and implement analysis, reporting, and quality control capabilities.
- Identify appropriate data sources for analytics projects.
- Locate and define new data analysis process improvement opportunities.
- Develop reports, dashboards, or other tools to summarize findings and convey information to management.
- Document requirements, background information, and methodology.
- Establish documentation practices and standards for other staff.
- Create interactive and static data visualizations.
- Employ advanced features of data visualization tools.
- Lead production of data products such as reports or newsletters.
- Draft inputs for a wide range of documents/reports, briefings/debriefings, and correspondence.
- Establish communication and cooperation with other parts of the organization to request data and express data needs.
- Collaborate with data engineers and data scientists to improve data flows and data quality.
- Keep abreast of current and emerging trends and developments in data analytics best practices, technologies, and tools.
- Update management with findings and suggestions.
- Conduct activities aimed at building capacity of staff on data analytics, including trainings.
- Support projects execution by conducting robust data analysis.
- Collaborate with other team members to ensure projects adhere to work plan objectives.
- Perform other related tasks as assigned.
Required Experience
A minimum of five (5) years of progressively responsible experience demonstrating the knowledge, skills and ability of foundational concepts in data manipulation and data analysis such as data structures, statistical methods is required. Demonstrated skills in data storytelling and data visualization tools such as Tableau, Power BI, Qlik, and R is required. Demonstrated ability to perform quality assurance of data analysis outputs is required. Demonstrated ability to assess data accuracy and consistency by performing data validation is desirable. Demonstrated ability to translate business requirements into technical solutions 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, economic or social sciences, or a related 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.
