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Key Responsibilities
Sales and Pipeline Analysis:
Conduct in-depth data analysis on sales performance, identifying trends, opportunities, and areas for improvement.
Create and maintain sales pipelines, leveraging SQL queries to generate custom reports and dashboards.
Develop and present insightful sales forecasts and projections to guide strategic decision-making.
Customer Success:
Monitor client usage patterns and adoption trends to assess satisfaction and potential upsell opportunities.
Proactively identify and address at-risk accounts, collaborating with customer success teams for timely resolution.
Contribute to the development of targeted retention strategies and customer onboarding processes.
Invoice Analysis and Cleaning:
Meticulously review and validate invoice data extracted using OCR technology, ensuring accuracy, consistency, and adherence to pricing conventions.
Analyze invoice data and identify potential areas for spending optimization and cost savings.
Collaborate with relevant teams to improve invoice accuracy and streamline data entry processes.
Cross-Functional Collaboration:
Work closely with sales, customer success, and product teams to align operational initiatives.
Provide relevant data and insights to support business development, product enhancements, and marketing strategies.
Qualifications
Bachelor's degree in Business Administration, Economics, Computer Science, Statistics, or a related field.
1-3 years of experience in L1 end user support and quality assurance.
Proven proficiency in SQL, working with relational database systems.
Experience in software development life cycle with Scrum methodology and tools like Jira, Notion, or Trello.
Strong analytical skills and experience in manipulating and interpreting large datasets.
Experience in developing and maintaining sales pipelines.
Familiarity with SaaS business models and key performance metrics (e.g., churn, MRR, CAC).
Experience with invoice analysis for spend management is highly preferred.
Excellent communication and presentation skills, with the ability to translate data into actionable insights.
Desired Traits
Self-starter with a strong work ethic and willingness to take initiative.
Team player with a collaborative mindset, comfortable working in a fast-paced environment.
Passion for technology and understanding the potential of SaaS products.
Key Responsibilities
Sales and Pipeline Analysis:
● Conduct in-depth data analysis on sales performance, identifying trends, opportunities, and areas for improvement.
● Create and maintain sales pipelines, leveraging SQL queries to generate custom reports and dashboards.
● Develop and present insightful sales forecasts and projections to guide strategic decision-making.
Customer Success:
● Monitor client usage patterns and adoption trends to assess satisfaction and potential upsell opportunities.
● Proactively identify and address at-risk accounts, collaborating with customer success teams for timely resolution.
● Contribute to the development of targeted retention strategies and customer onboarding processes.
Invoice Analysis and Cleaning:
● Meticulously review and validate invoice data extracted using OCR technology, ensuring accuracy, consistency, and adherence to pricing conventions.
● Analyze invoice data and identify potential areas for spending optimization and cost savings.
● Collaborate with relevant teams to improve invoice accuracy and streamline data entry processes.
Cross-Functional Collaboration:
● Work closely with sales, customer success, and product teams to align operational initiatives.
● Provide relevant data and insights to support business development, product enhancements, and marketing strategies.
Qualifications
● Bachelor's degree in Business Administration, Economics, Computer Science, Statistics, or a related field.
● 1-3 years of experience in L1 end user support and quality assurance.
● Proven proficiency in SQL, working with relational database systems.
● Experience in software development life cycle with Scrum methodology and tools like Jira, Notion, or Trello.
● Strong analytical skills and experience in manipulating and interpreting large datasets.
● Experience in developing and maintaining sales pipelines.
● Familiarity with SaaS business models and key performance metrics (e.g., churn, MRR, CAC).
● Experience with invoice analysis for spend management is highly preferred.
● Excellent communication and presentation skills, with the ability to translate data into actionable insights.
Desired Traits
● Self-starter with a strong work ethic and willingness to take initiative.
● Team player with a collaborative mindset, comfortable working in a fast-paced environment.
● Passion for technology and understanding the potential of SaaS products.
