Data Analyst

KEY RESPONSIBILITIES

• Own and manage the analysis and reporting of assigned insights programmes
• Analyse survey data using descriptive and inferential statistics (SAS)
• Summarise analyses through professional looking charts shown in static reports (PowerPoint) and interactive dashboards (PowerBI)
• Deliver insights to clients (internal and external) showing trends and action areas
• Manage survey data from different sources – face-to-face interviews, online and phone studies. This includes data import, storage, review and cleansing
• Interact proactively and positively with programme managers and colleagues from other areas of NMG to gain better understanding of the various programmes and deliver accurate outputs
• Create and maintain continuous improvement actions
• Review and enhance codes and data structure for more efficient work flow
• Applying a creative and curious mindset, applying new and evolving approaches to improve the effectiveness and efficiencies of our insights studies
• Living the NMG Values of Collaboration, Make it Count, Curiosity and ‘Go for it!’

YOUR EXPERIENCE

The successful candidate for this role will be able to demonstrate:

Qualifications & Experience

• Have hands-on experience in using MS Power BI, and related MS technologies
• Have at least 1 year of practical knowledge and expertise of SAS (Base or EG) and in using SQL and macros
• Have experience in the gathering and documenting of business logics/methodologies
• Have strong visualisation skills (dashboard and/or graph designing)
• Have a strong academic performance

The following are also valued:

• Knowledge in other programming languages like Python and R
• UI/UX experience
• Experience in analysing and reporting survey data

Competencies

• Outstanding communication skills at all levels - able to build excellent working relationships with clients, team members and other stakeholders
• Ability to solve problems effectively, think creatively and deliver quality outputs in a timely manner
• Ability to make decisions independently in a fast-paced environment
• Excellent attention to detail
• Excellent organizational, prioritization and time management skills
• Fast and keen learner – able to work individually and in a team