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Corporate Staffing Services
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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