
Junior Data Analyst J
Corporate Staffing Services
Nairobi | Full Time | IT
Closing in 1 month ago
Junior Data Analyst Job. IT Jobs In Kenya
Responsibilities
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.
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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.
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How To Apply
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