We are seeking a Sales Data Analyst with expertise in data analysis to help optimize sales strategies and support our B2B sales team. The ideal candidate will transform platform data into actionable insights to identify business opportunities, improve sales performance, and inform strategic decision-making.
Key Responsibilities
- Analyze data from the company’s digital platform (user traffic, behavior, conversions, etc.) to support the sales team
- Identify usage patterns and propose strategies to enhance customer value.
- Develop detailed reports and dashboards to monitor sales performance based on platform data
- Collaborate with product, marketing, data, and sales teams to align initiatives with insights generated from data analysis
- Segment customers and analyze data to support targeted initiatives (e.g., upselling, cross-selling, retention)
- Provide sales forecasts using platform data and predictive models
- Monitor key performance indicators (e.g., acquisition rate, churn rate) to refine sales strategies
- Automate analysis processes to improve efficiency and speed in delivering insights.
Your Identikit
- Strong ability to communicate complex data insights clearly and effectively to stakeholders
- Excellent analytical thinking and attention to detail
- Ability to work effectively in cross-functional teams (product, sales, marketing, data)
- Adaptability and comfort in a fast-paced, dynamic environment
Required Skills And Qualifications
- Bachelor’s degree in Economics, Statistics, Computer Science, Mathematics, Data Science, or a related field
- Minimum of 3 years of experience in data analysis, preferably within digital platform or e-commerce environments
- Strong proficiency in SQL
- Proficiency in data analysis programming languages, preferably Python
- Experience with data visualization tools such as Power BI or Tableau
- Knowledge of statistical techniques for business-oriented data analysis
Nice To Have
- Experience with machine learning models for customer segmentation, churn prediction, and sales forecasting
- Familiarity with cloud platforms, particularly AWS
- Understanding of digital analytics and experience with web analytics tools (e.g., Google Analytics)