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Monk Tree Partners

Sales Analyst

This role is a permanent Sales Analyst position requiring a Bachelor's degree and 2–4 years of experience in sales analysis, preferably in consumer products or electronics. Proficiency in Excel, data visualization tools, and knowledge of e-commerce analytics are essential.
🌎 Country
United States
🏝️ Location
Unknown
📄 Contract
Full-time
🪜 Seniority
Associate
💰 Range
Unknown
💱 Currency
$ USD
💸 Pay
Unknown
🗓️ Discovered
August 20, 2025
📍 Location detailed
Los Angeles Metropolitan Area
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🧠 Skills
#Promotions
Role description
Sales Analyst Requirements: • Bachelor’s degree in Business, Economics, Marketing, Data Analytics, or a related field. • 2–4 years of experience in sales analysis, business analysis, or a related function; consumer products, appliances, or electronics industry experience preferred. • Proficiency in Microsoft Excel and data visualization tools (e.g., Power BI, Tableau). • Strong analytical and problem-solving skills. • Excellent written and verbal communication skills. • Ability to manage multiple tasks and meet tight deadlines in a fast-paced environment. • Experience with ERP or CRM systems (e.g., SAP, Salesforce). • Familiarity with statistical analysis tools or programming (SQL, Python, or R). • Understanding of retail and e-commerce analytics. Key Responsibilities: • Analyze sales data across multiple channels (retail, e-commerce, distributors) to identify trends, opportunities, and risks. • Develop regular reports and dashboards (weekly, monthly, quarterly) on sales performance by product, region, and channel. • Provide actionable insights and forecasts to support strategic planning and decision-making. • Collaborate with marketing, supply chain, and product teams to align sales forecasts with promotions, inventory, and demand planning. • Monitor competitor activity and broader market trends within the consumer goods space. • Use CRM and BI tools (e.g., Salesforce, Tableau, Power BI, Excel) to extract, analyze, and visualize data. • Evaluate the effectiveness of promotional campaigns and recommend improvements. • Support the sales team with ad hoc data requests and presentations.