Sales & Data Analyst
Role summary
This role seeks a data-driven Sales Analyst to transform sales data into actionable insights that fuel strategic decisions and revenue growth. Responsibilities include collecting, analyzing, and interpreting sales data to identify trends, using tools like Excel and SQL for analysis, and presenting findings to leadership. The analyst will also be responsible for demand forecasting and ensuring the accuracy of sales reporting data. The ideal candidate possesses 2-4 years of experience in sales or business analysis, advanced Excel skills, and strong quantitative and communication abilities.
About The Role
We’re looking for a data-driven Sales Analyst to turn sales data into insights that drive strategic decisions and revenue growth. The ideal candidate combines strong analytical skills with business acumen and can translate numbers into actionable recommendations for the sales and leadership teams.
Key Responsibilities
- Collect, analyze, and interpret sales data to identify trends, patterns, and opportunities for improvement.
- Use tools (Excel, SQL) to analyze business data and identify trends or anomalies. Suggest enhancements for efficiency and effectiveness.
- Present findings and recommendations to sales leadership in clear, concise formats.
- Forecast demand with data-driven accuracy.
- Ensure accuracy and integrity of sales reporting data.
- Prevent stockouts and capture every sale.
Qualifications
- Bachelor’s degree in business, Economics, Finance, Data Analytics, or related fields.
- 2–4 years of experience in sales analysis, business analysis, or a similar analytical role.
- Advanced Excel modeling or forecast-building skills.
- Intermediate-High English language proficiency (At least a B2 level). Please include your Native language on your resume.
- Excellent quantitative, critical thinking, and communication skills.
- Ability to work independently and communicate insights clearly to both technical and non-technical audiences.
Why Join Us
- Opportunity to shape sales strategies based on data-driven insights.
- Collaborative culture that values curiosity, innovation, and growth.
- Competitive compensation.