How To Become A Data Analyst in Kenya

How To Become A Data Analyst in Kenya

How To Become a Data Analyst in Kenya consists of different things. Data Analysts are corporate detectives who examine the organization’s data sets in minute detail, so their interpretations highlight critical patterns and trends in the business.

Data analysis is a fast-growing field. The demand for experienced Data Analysts will only grow worldwide across multiple industries and domain types, including healthcare, pharmaceuticals, manufacturing, education, marketing, sales, media, finance, consulting, retail and even real estate.

What do Data Analysts do?

A Data Analyst would typically need to:

  • Retrieve, gather, clean, and interpret an organisation’s data sets to answer a question, solve a problem or reach meaningful conclusions
  • Collect, understand and document detailed business requirements, using appropriate tools and techniques
  • Work with technology teams, management and data scientists to set goals; mine data from primary and secondary sources
  • Design and carry out surveys; analyse survey data; liaise with internal and external clients to understand data content thoroughly
  • Clean and dissect data to remove unnecessary information; identify areas to increase the efficiency and automation of processes
  • Identify, evaluate and implement external services and tools to support data validation and cleansing
  • Analyse and interpret results using statistical tools and techniques; produce and track key performance indicators; pinpoint trends and patterns in data sets
  • Monitor and audit data quality; track, analyse and interpret complex data sets relating to the employer’s business
  • Analyse market research, opinion polls and trends in consumer feedback to help the organisation make sound business decisions
  • Prepare reports for internal and external audiences, using business analytics reporting tools
  • Create data dashboards, graphs and visualisations; provide sector and competitor benchmarking
  • Mine and analyse large data sets, identify new opportunities for process improvement and present them successfully to management
  • Establish records management processes and policies; set up and maintain automated data processes; develop and support reporting processes
  • Fix code problems and data-related issues

Free Data Analysis Online Courses

  1. Data Analytics – Mining and Analysis of Big Data – Learn how to analyse big data using mining and clustering techniques, in this free online big data analytics course.
  2. Data Science – Visualizing Data and Exploring Models – Learn about data science techniques, applying visualizations to display data, feature engineering methods, and more!
  3. Diploma in Using Python for Data Science –
    Learn how to use your basic Python knowledge and turn it into a career in data science.

Recommended Work Experience

A period of supervised experience in the form of an internship or placement during your degree is an essential prerequisite for most Data Analyst positions.

Previous work experience as an administrative assistant or customer service representative will also help. Consulting firms, government agencies, media, and telecommunications companies offer graduate schemes that facilitate access to entry-level roles.

Read about the profession and interview/job shadow experts working in data analytics to prove your commitment to course providers and prospective employers.

Recommended Qualifications

Most Data Analysts have a bachelor’s degree in business information systems, computer science, economics, information management, mathematics and statistics.

Although it is not usually required, a sizeable number is increasingly opting for a master’s degree in data science, business analytics, data science, and big data. Some universities offer an integrated five-year-long Masters program, combining a degree and masters course. A few employers may ask for a doctorate in a relevant subject.

Focus on mathematics, economics, statistics and computer science in high school to facilitate entry to accredited colleges.

Recommended Skills

Data Analysts need excellent research, problem-solving, mathematical, analytical, collaborative and reporting skills. Knowledge of various programming languages, data analysis tools, data enrichment techniques, open-source data analytics, data protection issues, industry-specific databases and data sets and the ability to prioritise tasks will make you a force to contend with.


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