JOB PURPOSE

The successful candidate will be responsible for sourcing and interpreting data as well as analyzing results, and providing insights to optimize our strategy, products, and operations. The Data Analyst will be responsible for the entire data lifecycle, from collection and organization to analysis and reporting, and will play a crucial role in driving the organization’s success by transforming data into actionable insights.

DUTIES AND RESPONSIBILITIES

• 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.

EDUCATION QUALIFICATION, EXPERIENCE, SKILLS, AND TRAITS

• 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.