Junior Data Analyst
Junior Data Analyst
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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 highquality 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 HighQuality Data
Collecting highquality data to support ongoing projects across the organization by utilizing web sing 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 datadriven 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 decisionmaking.
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 datadriven decisionmaking 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:
Bachelors 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 (Masters 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 sing API usage and implementing data quality standards.
Research Experience Prior involvement in conducting datadriven 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 datadriven projects is a plus.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
