Sales Data Analyst

Responsibilities

• Monitoring and tracking key business metrics and KPIs such as GMV growth, promo spend efficiency, sales channel performance, merchant acquisitions, and store performance.
• Creating monthly sales team targets, incentive plans, and performance tracking.
• Collecting and organizing data from various sources and generating reports and dashboards.
• Analyzing sales promoter performance, patterns, and metrics and presenting insights to stakeholders.
• Collaborating with the sales promoter team to understand operational needs and deliver data-driven solutions.
• Identifying opportunities for sales promoter growth and improvement.
• Providing support for internal product development from a data perspective.
• Developing, maintaining, and owning sales-related datamarts.
• Documenting data assets including datamarts, automated pipelines, insights, and root cause analysis.

Requirements

• Bachelor’s Degree, preferably in a quantitative subject (e.g., Computer Science, Engineering, Economics, or Mathematics).
• Minimum 4 years of experience as a Business Data Analyst, Sales Data Analyst, or Product Analyst.
• Excellent analytical skills. You need to be comfortable with data – analyze it, question its validity, interpret it, and develop recommendations based on it.
• Advanced SQL skills are mandatory.
• Proficiency in Microsoft Excel or Google Sheets is required.
• Great communication skills to translate complex data into clear business insights for non-technical stakeholders.
• Experience with data visualization tools, e.g., Tableau, PowerBI, Mode, or Looker.
• Proficient in English, with the ability to converse professionally in both written and verbal communication.
• Experience with data warehouse modeling is a strong advantage.
• Experience with data pipeline automation (Airflow, dbt) and programming skills in Python are a strong advantage.
• Comfortable working in a dynamic and fast-paced environment.

Category
Data Analysis