JOB TITLE

 

DATA ANALYST

NATURE OF JOB

FULL TIME

INDUSTRY

 

SALARY

KSHS.30,000

JOB LOCATION

CBD

 

DUTIES AND RESPONSIBILITIES

Data Collection & Cleaning

  • Gather data from internal and external sources to create comprehensive datasets for analysis.
  • Clean and pre-process data to ensure it is accurate, consistent, and ready for analysis (data wrangling, missing data handling, etc.).
  • Work with business stakeholders to identify data requirements and ensure data collection aligns with business needs.

Data Analysis & Interpretation

  • Use statistical methods and techniques to perform exploratory data analysis (EDA), identifying trends, correlations, and outliers.
  • Conduct hypothesis testing, regression analysis, and other advanced analytics to generate insights that drive decision-making.
  • Provide actionable insights from data findings to improve business operations and strategies.

Reporting & Visualization

  • Create clear, visually engaging, and interactive dashboards and reports using tools such as Tableau, Power BI, or Excel to visualize key metrics.
  • Develop and maintain automated reports to track key performance indicators (KPIs) for various departments.
  • Regularly present findings to management and other stakeholders in a concise and understandable format.

Collaboration & Stakeholder Management

  • Work closely with other teams (marketing, operations, finance, etc.) to understand their data needs and deliver timely and relevant analysis.
  • Collaborate with data engineers to ensure that the data infrastructure is properly set up and aligned with analysis requirements.
  • Help business units interpret data findings and ensure that recommendations are implemented effectively.

Data Management & Governance

  • Maintain data quality and consistency by implementing and following best practices for data management and governance.
  • Ensure compliance with internal data security standards and any relevant legal/regulatory data handling guidelines.
  • Continuously monitor the data quality and make improvements where necessary to prevent discrepancies.

Continuous Improvement & Learning

  • Stay up to date with the latest data analysis trends, techniques, and best practices.
  • Actively participate in training sessions and contribute to the evolution of analytical tools and methodologies within the organization.
  • Look for ways to automate repetitive tasks to increase efficiency and reduce manual errors.

KEY REQUIREMENT SKILLS AND QUALIFICATION

  • Degree in Statistics, Economics, Mathematics, Data Science, or a related field
  • Minimum 2 years working as a data analyst or in a related analytical role, demonstrating an ability to analyze large datasets and draw actionable insights
  • Proficiency in data analysis tools such as Excel, SQL, Python, and R
  • Hands-on experience with data visualization tools like Tableau, Power BI, or similar platforms
  • Familiarity with data management tools and databases (e.g., relational databases, ETL tools)
  • Experience with statistical analysis and techniques (e.g., regression, hypothesis testing)

 

HOW TO APPLY

  • If you meet the above qualifications, skills and experience share CV on This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Interviews will be carried out on a rolling basis until the position is filled.
  • Only the shortlisted candidates will be contacted.