Data Analyst Job in Kenya

Job Title: Data Analyst

Hiring Organization: Stima Sacco
Location – Locality: Nairobi
Location – Region: Kenya
Industry: Financial Service
Job Type: Full Time
Salary: KES
Date Posted: 05/29/2024

Reporting to the Head of Research and Innovation you will be responsible for mining, collecting, analyzing, and storing data with the aim of using it to help the Sacco make informed strategic choices to enable profitable business decision making and increase efficiency/effectiveness of both operations and customer service activities.

Key Tasks and Responsibilities

Develop and plan required analytic projects in response to business needs.

Organize and dissect large datasets/information to get actionable insights from them.

Discovering innovative ways to combine fields of data that do not naturally mesh and make business sense out of mined data.

Apply advanced statistical and predictive Information Communication Technology modeling techniques to build, maintain, and improve on real-time

decision-making process.

In conjunction with data owners and department managers, contribute to the development of data models and protocols for mining production databases.

In conjunction with team members develop new analytical methods and/or tools as required.

In conjunction with team members contribute to data mining architectures, modeling standards, reporting, and data analysis methodologies.

Conduct research and make recommendations on data mining products, services, protocols, and standards in support of business development efforts.

Work with application developers to extract data relevant for analysis.

Collaborate with departmental heads, end users, development staff, and other stakeholders to integrate data mining results with existing systems.

Provide and apply quality assurance best practices for data mining/analysis services.

Adhere to change control and testing processes for modifications to analytical models.

Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis.


A minimum of a bachelor’s degree/Relevant Diploma/Higher Diploma in statistics, mathematics. Outstanding communication and interpersonal skills

A minimum of two years of relevant experience for degree holders and Six (6) years of related work experience for Diploma/Higher Diploma holders.

Strong mathematical skills to help collect, measure, organize and analyze data.

Knowledge of programming languages like SQL and Python.

Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.

Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analysis.

Knowledge of data visualization software like Power Bi and Tableau

Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions.

Problem-solving skills.

Accuracy and attention to detail.

Adept at queries, writing reports, and making presentations.

Teamworking skills.

Verbal and Written Communication Skills

Proven working experience in data analysis.

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