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Skills:

SQL, Python, Excel

Job type:

Full-time

• Curate data, monitor and analyze buyer volume and behavior.
• Understand buyer behavior and improve buyer segmentation to optimize unit of economic the achieve new buyer target and reduce buyer churn rate.
• Initiate new initiatives to improve buyer spending or buyer experience.
• Coordinate with various stakeholders across teams on insights.
• Requirements: Analyze internal and external data (generally with SQL, Python, Excel).
• Apply structured framework to estimate hard-to-find information and deliver original insights.
• Improve existing buyer segmentation by scrutinizing current assumptions, identifying how our understanding would change if assumptions change, and derive segmentation to improve buyer performance.
• Translate complex data analysis into accessible business-focused reports and recommendations.
• Present results to senior management on a regular basis.

Experience:

4 years required

Skills:

Data Analysis, SQL, Data Warehousing

Job type:

Full-time

• Develop and implement BI strategies to optimize business processes and performance.
• Be able to lead cross-functional projects, collaborating with stakeholders to identify data needs and deliver solutions.
• Design and maintain dashboards, reports, and visualizations using tools like Data Suite.
• Conduct in-depth data analysis to identify trends, opportunities, and areas for improvement.
• Requirements: Bachelor's degree in Computer Science, Information Systems, or related field; Master's preferred.
• 4+ years of experience in business intelligence or data analytics roles.
• Expertise in SQL, data warehousing concepts, and ETL processes.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills to present insights to technical and non-technical audiences.
• Experience in retail, e-commerce, or supply chain analytics is highly desirable.

Experience:

1 year required

Skills:

SQL, Python, Excel

Job type:

Full-time

• Analyze internal and external data (generally with SQL, Python, Excel).
• Apply structured framework to estimate hard-to-find information and deliver original insights.
• Improve existing buyer segmentation by scrutinizing current assumptions, identifying how our understanding would change if assumptions change, and derive segmentation to improve buyer performance.
• Translate complex data analysis into accessible business-focused reports and recommendations.
• Present results to senior management on a regular basis.
• Requirements: Master's or bachelor's degree in quantitative fields or a relevant field (e.g. Computer Sci) of study.
• 1-3 years experience in Data Analyst field.
• Comfortable working with large data sets and numbers.
• Self-starter with a can-do attitude.
• Analyze internal and external data (generally with SQL, Python, Excel).
• Apply structured framework to estimate hard-to-find information and deliver original insights.
• Translate complex data analysis into accessible business-focused reports and recommendations.