Data Analyst at Flexi-Personnel
Flexi Personnel
- Kenya
- Permanent
- Full-time
- Collecting, cleaning, and analyzing large datasets to uncover trends and patterns using data analysis tools.
- Conduct root cause analysis and in-depth investigations to understand underlying factors contributing to business issues.
- Assist in the development and maintenance of data infrastructure, including data pipelines and data warehouses.
- Perform in-depth analysis using statistical methods, data mining techniques, and machine learning algorithms.
- Developing, optimizing, and maintaining reports and dashboards to track key performance indicators for real-time visibility and informed decision-making.
- Provide data-driven recommendations and insights to inform product enhancements, and enforcement strategies.
- Presenting findings and insights to stakeholders in a clear and concise manner.
- Lead data analysis projects from inception to completion, ensuring on-time and on-budget delivery.
- Collaborating with cross-functional teams to identify opportunities for process improvements.
- Staying updated with industry best practices and emerging technologies in data analysis.
- Bachelor's degree in computer science, Statistics, Mathematics, or a related field.
- Minimum 5 years of experience in data analysis, with a proven track record of utilizing data to solve business issues.
- Proficiency in SQL. (Exposure to Python, R or other programming languages is an added advantage)
- Experience with data visualization tools such as Tableau (preferred). Power BI, Looker, or Google Data Studio is an added advantage.
- Knowledge of cloud-based data storage and processing platforms. (Big Query preferred.)
- Familiarity with machine learning techniques and predictive modeling is advantageous.
- Excellent attention to detail with ability to identify trends, correlations, and anomalies within large datasets.
- Analytical thinker with clear communication to both technical and non-technical audiences.
- Ability to work independently and collaboratively across teams and departments in a fast-paced environment.
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