Junior Data Analyst

Company Description

At iHUB, we are committed to playing a critical role in fast-tracking the African technology entrepreneurship scene by creating an environment of trust and experimentation that facilitates the growth of entrepreneurs and their companies. 

We have been at the forefront of innovation, being the main catalyst for regional technology acceleration and a role model for tech hubs in emerging markets since 2010. In 2019 iHUB became part of a wider collective of Co-Creation Hub Africa (CcHUB), which includes Design Lab in Rwanda, & CcHUB Namibia, Elimu, Syndicate & Growth Capital; all these companies collectively contribute to stimulating innovation and the application of technology across Africa for social impact across diverse sectors.  Together as CcHUB, we are Innovating for African Economic prosperity.

Job Description

Designing Data Collection Tools 

• Designing and developing data collection tools, ensuring their quality and effectiveness. 

• Conducting quality checks on data collection tools to maintain high-quality standards. 

• Recommending and implementing improved tools and methods to enhance data collection processes, ensuring data integrity and quality are upheld.

Data Collection and Sourcing of High-Quality Data

• Collecting high-quality data to support ongoing projects across the organization by utilizing web scraping techniques and APIs to ensure accurate and reliable data for various initiatives across the organization.

Proposal Support 

• Incorporating data elements into proposals, enhancing them with a data-driven perspective. 

• Integrating statistical, mathematical, and machine learning approaches into proposals and projects across various business units. 

• Consulting on and contributing to projects that require intensive statistical or mathematical analysis.

Data Mugging and Analysis 

• Cleaning and preparing data for multiple projects across all business units within the organization. 

• Preparing analysis reports for various projects and presenting insights to relevant stakeholders. 

• Incorporating feedback from stakeholders into the analysis reports to enhance accuracy and relevance. 

• Integrating AI tools effectively into analysis projects to optimize results. 

• Conducting data analysis for initiatives across different business units and interpreting data to provide actionable insights that support informed decision-making.

Standard Operating Procedures

• Collaborate in developing data standard operating procedures for different tasks. 

• Develop supporting documents on maintaining and enhancing data integrity and security for all data handlers within the organization 

Designing and Implementing Business Analysis Tools

• Developing interactive dashboards tailored to the needs of various stakeholders across business units and clients, enabling data-driven decision-making and enhancing overall business performance.

Publishing Data Articles 

• Collaborating on creating articles covering diverse topics across various African countries, positioning DesignLab Research as a thought leader in multiple industries across the continent. 

• Proposing and developing publishing ideas in areas such as machine learning, data science, healthcare, and finance, among others, to highlight industry trends and innovations.

Innovation and Research

• Initiating and developing innovative projects and ideas for internal exploration and potential commercialization. 

• Leveraging AI and other resources to automate recurrent tasks and projects within the research team 

• Supporting and advancing ongoing innovative projects, including SCI Trade, Remote Sensing and other emerging machine learning and data science technologies, to drive growth and industry leadership.

Qualifications

Education & Qualifications:

• Bachelor’s degree in Data Science, Computer Science (with a focus on Machine Learning/AI), Statistics, Mathematics, Business Analytics, or a related discipline emphasizing analytical skills. Advanced degree holders (Master's or Ph.D.) are encouraged to apply.

Key Skills & Experience:

• Statistical Analysis and Data Mining - Strong foundation and understanding in statistical methods, data mining for extracting insights from structured and unstructured datasets.

• Proficiency in Data Analysis Tools and Techniques - Experience with data analysis techniques and software(‘s) (e.g., Excel, SQL, R, Python with libraries like, Tidyverse, Lubridate,  Pandas and NumPy ..etc) critical for data manipulation, cleaning, and analysis.

• Experience with Data Visualization and Business Intelligence(BI) Tools - Familiarity with data visualization tools (e.g., Tableau, Power BI, RStudio, Google Data Studio) to create clear and insightful reports and dashboards for stakeholders.

• Data Collection and Quality Assurance - Familiarity with data collection methodologies, web scraping, API usage, and implementing data quality standards.

• Research Experience - Prior involvement in conducting data-driven research, including data collection, analysis, and publishing findings. Contributing to research proposals is a plus.

• Data Standards -  Knowledge of developing data standards and ensuring data integrity and quality assurance throughout the data lifecycle.

• Machine Learning and  Artificial Intelligence - A grasp of machine learning algorithms and AI techniques, along with their practical applications in data-driven projects, is a plus.