Data Assistant at Dragonfly Limited

• We are looking for a detail-oriented and analytical Data Assistant to support the data analytics team in managing, processing, and analyzing key business data. This role is critical in ensuring accurate reporting, monitoring sales trends, inventory tracking, and providing insights that drive business decisions in an FMCG environment.

Key Responsibilities:

• Collect and input sales, inventory, and distribution data from multiple sources (internal databases, POS systems, field reports, etc.).
• Ensure all data is accurately recorded, organized, and updated in company databases.
• Assist in generating daily, weekly, and monthly reports on sales performance, market trends, and stock movement.
• Support the Data Analyst in preparing dashboards, charts, and graphs to visualize key metrics.
• Identify data discrepancies, errors, or missing values and report them for correction.
• Track and analyze customer purchasing trends, product performance, and competitor activities.
• Support the sales and marketing teams with data-driven insights to optimize promotions and campaigns.
• Assist in evaluating pricing strategies, distribution efficiency, and demand forecasting.
• Maintain and update data management systems, ensuring proper storage and retrieval of information.
• Help in migrating or integrating data across different company platforms.
• Work closely with teams in sales, marketing, supply chain, and finance to provide necessary data support.
• Communicate data findings and insights clearly to relevant stakeholders.
• Assist in ad hoc data projects, research, and analysis as required.

Qualifications & Experience:

• Diploma or Bachelor’s degree in Business, Statistics, Data Science, or a related field.
• 1-3 years of experience in data entry, analytics, or reporting (preferably in an FMCG company).
• Proficiency in Excel, Google Sheets, and data visualization tools (Power BI, Tableau, or SQL is a plus).
• Strong numerical skills, attention to detail, and ability to analyze large datasets.