Data Analyst

Fuku is seeking a detail-oriented and analytical Data Analyst to join our dynamic team. As a pivotal member of our organization, you will leverage data to drive business decisions and strategies that enhance our customer experience and operational efficiency. Your role will involve collecting, processing, and analyzing large sets of data to uncover trends, patterns, and insights that inform various aspects of our business. By utilizing your strong analytical skills and statistical knowledge, you will help us understand our market and customers better, ultimately allowing us to tailor our offerings more effectively. Working closely with cross-functional teams, you will present your findings in a clear and actionable format to various stakeholders, ensuring that data-driven decisions are at the forefront of our strategic initiatives. The ideal candidate will have a passion for data, a knack for problem-solving, and the ability to communicate complex data-driven insights in an understandable manner. At Fuku, we value innovation and creativity, and we encourage our team members to think outside the box as we strive to stay ahead in a competitive landscape. If you are ready to make an impact and grow your career in a fast-paced, data-driven environment, we would love to hear from you!

Responsibilities

• Collect and clean data from various sources to maintain accuracy and reliability.
• Analyze large datasets to identify trends and patterns that inform business decisions.
• Develop data visualizations and reports to effectively communicate findings to stakeholders.
• Collaborate with cross-functional teams to understand their data needs and provide actionable insights.
• Create and maintain documentation for data processes, analyses, and patterns.
• Support the development of predictive models and algorithms to enhance business strategies.
• Stay up to date with industry trends and best practices in data analysis and reporting.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Proven experience as a Data Analyst or in a similar analytical role.
• Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Solid understanding of statistical techniques and data mining procedures.
• Excellent problem-solving skills and the ability to work with complex datasets.
• Strong communication skills, with the ability to convey analytical findings to non-technical stakeholders.