Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.
TCL Sun Inc. is seeking a Data (Sell-Out) Analyst to monitor and analyze sales performance across products, dealers, channels, and regions, turning data into actionable insights to support business decisions.
You will prepare reports, dashboards, and presentations for management and sales teams, track trends and variances, and provide data-driven recommendations to improve sell-out performance. Collaboration with Sales, Marketing, Planning, Logistics, and other teams is essential.
The Data (Sell-Out) Analyst is responsible for monitoring and analyzing sales performance across products, dealers, channels, and regions. The role focuses on turning sales data into actionable insights to support business decisions, identify sales opportunities, and improve overall sell-out performance.
Monitor and analyze daily, weekly, and monthly sell-out performance.
Prepare sales reports, dashboards, and presentations for Management and Sales teams.
Analyze sales trends, product performance, regional performance, and variances against targets.
Track sell-out performance by product, model, dealer, channel, and region.
Monitor inventory and identify fast-moving, slow-moving, and aging products.
Provide data-driven insights and recommendations to improve sales performance.
Support sales forecasting, target setting, and business reviews.
Maintain accurate and reliable sales data and reporting files.
Develop and improve Excel-based trackers, reports, and dashboards.
Coordinate with Sales, Marketing, Retail, Planning, Logistics, and other teams to gather and validate data.
Perform other related duties as assigned.
Bachelor's Degree in Business, Marketing, Management, Statistics, Economics, Mathematics, or a related field.
At least 1 year of experience in Sales Analysis, Sales Operations, Business Analysis, Data Analysis, or a similar role. Fresh graduates with strong analytical skills are welcome to apply.
Proficient in Microsoft Excel, particularly PivotTables, XLOOKUP/VLOOKUP, SUMIFS/COUNTIFS, and data analysis.
Strong analytical and numerical skills with excellent attention to detail.
Able to interpret data and translate findings into actionable insights.
Good communication and coordination skills.
Experience in appliance, consumer electronics, FMCG, retail, or distribution is an advantage.