Data Analyst

Job Title: Data Analyst

Location: Nairobi

Job Type: FullTime

Experience Level: MidLevel (3 years)

Job Summary:

Our client seeks a skilled and detailoriented Data Analyst with a minimum of three years of experience to join their dynamic team. The ideal candidate will have a strong analytical mindset proficiency in data manipulation and visualization tools and the ability to translate complex data into actionable insights. This role requires a proactive individual who can work independently and collaboratively to support datadriven decisionmaking processes across the organization.

Key Responsibilities:

• Collect clean and validate data from various sources to ensure data integrity and accuracy.
  
• Perform detailed data analysis identify trends and provide actionable insights to support business decisions.
  
• Develop and maintain dashboards and reports using data visualization tools (e.g. Tableau Power BI).
  
• Work closely with crossfunctional teams to understand their data needs and provide analytical support.
  
• Utilize statistical methods to analyze data sets and generate hypotheses.
  
• Automate data collection and reporting processes to improve efficiency.
  
• Communicate findings and recommendations to stakeholders through presentations and reports.
  
• Stay updated with industry trends and best practices in data analysis and visualization.
  

Requirements

Qualifications:

• Bachelor s degree in Statistics Mathematics Computer Science Information Systems or a related field.
  
• Minimum of three years of experience in data analysis or a related role.
  
• Proficiency in data analysis tools such as SQL Excel and Python/R.
  
• Experience with data visualization tools like Tableau Power BI or similar.
  
• Strong analytical and problemsolving skills.
  
• Excellent attention to detail and organizational skills.
  
• Ability to work independently and manage multiple tasks and deadlines.
  
• Strong communication skills with the ability to present complex information clearly and concisely.
  
• Experience with data warehousing and ETL processes is a plus.
  
• Familiarity with machine learning and predictive analytics is an advantage.
  

How to Apply:

Interested candidates are invited to submit their resume and a cover letter detailing their qualifications and experience.