Data Analyst

Responsibilities:

• Analyze large-scale transactional and customer datasets to answer business challenges and provide data-driven insights.

• Create and deliver routine and ad-hoc reports to support business teams, ensuring data accuracy and consistency.

• Lead data selection and processing, ensuring datasets are optimized for high-quality analysis.

• Business & Customer Insights:

• Collaborate with business teams to leverage data analysis for actionable recommendations, identify growth opportunities, and enhance customer engagement to support business strategy.

• Lead "The 1 Insight" project, a monthly publication on customer trends, to showcase advanced data analytics and the value of our database. This requires creativity in identifying emerging trends and uncovering deep insights.

• Presentation & Communication:

• Present findings and insights to management and other business units in a clear, engaging, and data-driven manner.

• Create professional, high-quality presentations using PowerPoint and other reporting tools.

• Share key customer insights with a broader audience, including external stakeholders such as media outlets, press conferences, and business seminars, to enhance the company's thought leadership and public image.

Qualifications:

• At least 3 years of experience in data analysis.

• Experience in industries or roles that involve working with large datasets (big data experience preferred).

• Familiarity with retail, loyalty programs, or e-commerce industries is a plus but not required.

• Proficiency in SQL for querying and analyzing large datasets.

• Experience with Business Intelligence (BI) tools such as Tableau or Power BI.

• Familiarity with data visualization techniques and tools.

• (Optional: Experience with programming languages like Python or R is a plus.)

• Excellent interpersonal skills to collaborate effectively with business teams such as marketing, CRM and partnership.

• Strong PowerPoint skills to create high-quality presentations is a plus.

• Creativity and strong attention to detail in report generation and insights communication.

• Excellent written and spoken English skills for building and delivering professional reports and presentations.

• Ability to communicate complex data insights in a clear, concise manner to diverse stakeholders.