Location: ONSITE, Nairobi, Kenya

We are seeking a talented and driven Data Analyst to join our dynamic team. As a Data Analyst, you will play a crucial role in extracting insights from complex datasets to drive informed decision-making and enhance our cloud-based solutions.

Responsibilities

● Analyze large datasets to identify trends, patterns, and correlations relevant to our clients'business objectives.

● Develop and maintain data models, algorithms, and statistical analyses to support

decision-making processes.

● Collaborate with cross-functional teams to gather requirements and define data-driven solutions.

● Design and implement data visualization dashboards and reports to communicate findings effectively.

● Perform data cleansing, transformation, and validation to ensure data accuracy and

consistency.

● Stay current with industry trends and best practices in data analysis, cloud computing, and related technologies.

● Support ongoing data-related projects and initiatives, including data migration, integration,and optimization efforts.

Preferred Qualifications

● Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.

● Proven experience of at least 3 years in data analysis, preferably in a cloud-based environment.

● Proficiency in SQL, Python, R, or other programming languages for data manipulation and analysis.

● Strong analytical and problem-solving skills, with a keen attention to detail.

● Experience with data visualization tools such as Looker Studio, Tableau, Power BI, or D3.js.

● Familiarity with cloud platforms and services, such as AWS, Azure, or Google Cloud Platform.

Additional Requirements:

● Passion for staying current with emerging technologies and industry trends.

● Results-oriented with a focus on achieving strategic goals and objectives.

● Excellent communication and interpersonal skills, with the ability to collaborate effectively with team members and stakeholders.

● Ability to work independently and prioritize tasks in a fast-paced environment.

● Knowledge of machine learning concepts and techniques is a plus

If you are ready for the challenge, possess the requisite qualifications and experience, we invite you to submit your detailed CV. Please quote the job title in the email subject as "Data Analyst" and send it to talent@workforceafrica.co by or before February 12, 2024.