Data Analyst/ Statistician

About the position

To systematically examine, cleanse, transform, and interpret data to uncover insights, patterns, and trend that can be used to draw conclusions and inform decision-making. The Data Analyst will use statistical techniques and tools to collect, analyze, and interpret the data, ultimately providing insights that can help the company and municipalities to make informed decisions.
JOB DESCRIPTION 

Data Analysis

Support data collection initiatives for various programmes and projects inclusive of the Municipal Capabilities Assessment (MCA), Municipal Capabilities Outcomes Monitoring Tool (MCOMT), Local Government Professionalisation Metrics (LGPM) and Municipal Socio-Economic Profiles (MSEP). 

1) Data Analysis
Drive and support data analysis initiatives based on the processed data (information) and generation of insights. This entails:
Assigning Meaning: establishing what the numbers represent and how they relate to each other.
Identifying Patterns and Trends: analyzing the data to see if there are any recurring patterns, shifts, or relationships that provide insights. 
Drawing Conclusions: using the insights gained from data interpretation to formulate conclusions, which can be used to inform decision-making or further research. 
Actionable Insights: use the interpreted data to generate actionable insights that can be used to improve processes, make better decisions, or inform future research. 
Methods: utilize various statistical and logical techniques, including descriptive statistics to conduct the analysis.
Tools: employ various software and tools, such as Excel, SPSS, R, Python, and specialized data analysis software to conduct the analysis.

2) Data analysis outputs: Drive and support compilation of numerous information and intelligence outputs such as reports, municipal socio-economic profiles, municipal briefs, presentations etc. 
Reports: to present data in tables and charts, summarizing key findings. 
Visualizations: use graphs, charts, and other visual representations to compare the datasets, identify relationships, discover hidden insights and to communicate data effectively. Visualizations can be used to compare datasets, identify relationships, and discover hidden insights. 
Actionable recommendations: develop suggestions for improvement or changes based on the analysis.
Presentation: convey the results to the target audience
Municipal Briefs etc.:  compile regular electronic updates for municipalities on critical areas of law, policy, facts and data affecting the sector.

Coordination

• Support the coordination of development of the unit’s applications including the Municipal Barometer, Municipal Violence Incident Dashboard, Municipal Capabilities Index Dashboard etc.

Information dissemination:

• Drive/ support dissemination of the results to company and municipalities to facilitate informed decision-making and strategies based on data driven insights

Stakeholder Management

• Support building of relationships, fostering communication, and ensuring stakeholders are informed, consulted, and possibly collaborating.

JOB REQUIREMENTS

Internal and external stakeholders

• The Data Analyst is expected to interact and engage with internal and external stakeholders in the delivery of his/her duties such as:
• company Officials: all different categories of company officials
• Municipalities: all different categories of municipal officials
• Data providers: Sector departments, private sector, municipalities etc.

Minimum qualifications and experience

Relevant qualification 

• A minimum of a bachelor's degree is generally preferred. A diploma or other certifications can be viable alternatives, especially if the candidate can demonstrate relevant skills and experience.  
• A minimum of 5 years of experience in data analytics or a related role. This experience should include demonstrated proficiency in data manipulation, statistical analysis, and data visualization tools. 
• Understanding of the local government sector

KNOWLEDGE

Core knowledge:
Taking evidence-based approach to his/her work; using the right data and the right information in a structured way, to inform the decisions that s/he takes and the work that s/he does because it leads to better outcomes

• Evidence based approach: how to assess the quality of evidence available, by identifying sources of bias and using evidence-based questioning models.
• Analysis and problem solving: how to use analysis and problem solving techniques to translate issues into answerable questions.
• Data and analytics: how data and analytics can be used and communicated to resolve organisational data needs.
• Research: How to access research relating to your area of work; and how to use relevant research
• Stakeholder insights: understanding of a range of takeholders in your area of work and their needs and concerns.
• Measuring impact: understanding the different measures used in the organisation and how they apply in your area of work; understanding measures and metrics that can be used to track the achievement of outcomes and the impact of your work

Specialised knowledge:
Specialized knowledge for a data analyst means acquiring in-depth understanding of a specific industry, tools, and methodologies, going beyond general data analysis skills. This allows the data analyst to apply their expertise to solve problems and make informed decisions within a particular sector. 

• Industry Expertise: a deep understanding of the industry's core concepts, challenges, and trends.  
• Technical Skills: proficiency in industry-specific tools and technologies. 
• Practical Experience: work on projects or internships within the target industry. 
• Continuous Learning: staying updated with industry publications, courses, and certifications. 
• Networking: connecting with professionals in the industry to learn from their experience.  

Desired Skills:

• • Excel and Spreadsheet Software
• • Advance skills in MS Office
• Statistical Analysis