Manager - Shipping Insights & Analytics
About the position
Responsibilities
• Work with business partners to scope analysis to answer key business questions and challenge their thinking.
• Help the business prioritize deliverables and manage expectations.
• Perform exploratory analysis of large data sets.
• Derive tactical and strategic insights to improve business strategies and accelerate business growth.
• Demonstrate strong analytical and statistical skills towards taking complex and unstructured business problems, and providing structured, hypothesis-driven and data-supported practical solutions.
• Have strong empirical and analytical background, with proven ability to combine quantitative and qualitative findings to frame the right questions and measurable insights.
• Partner with cross-functional teams to prioritize initiatives that provide a better customer experience.
• Advocate for specific features based on customer/business feedback and industry trends.
Requirements
• 5+ years of experience in data analytics, data science or related field.
• Exceptional business judgment and quantitative abilities.
• Strong communication skills and experience distilling and presenting complex analyses into committed recommendations.
• Strong technical skills in data analysis tools and programming languages (SQL, Python/R) and a good understanding of data warehouse architecture.
• Experience with data visualization tools (e.g., Tableau, Power BI) to create visually impactful reports and dashboards.
• Hypothesis testing and experience with experimentation (A/B testing).
• Solid understanding of statistical modeling techniques and their application to business scenarios - more specific to surface and communicate business insights.
• Excellent communication and presentation skills with the ability to proactively collaborate with cross-functional teams and convey complex information to both technical and non-technical partners.
Nice-to-haves
• Customer centric - passionate about advocating for customers.
• Highly flexible - able to switch gears and embrace rapid change.
• Solution oriented - passionate about solving difficult business problems and telling the story behind the numbers.
• Cross-functional and collaborative - communicate effectively with partners and technology teams.
• Hands-on - use peers and leadership to optimally influence best in class performance from suppliers and internal teams.
• Naturally inclined to learning new things - proactively pursue acquiring new knowledge about work and enjoy sharing knowledge with others.
Benefits
• 401(k)
• RSU
• Paid time off
• Parental leave
Apply Now
Apply Now
Responsibilities
• Work with business partners to scope analysis to answer key business questions and challenge their thinking.
• Help the business prioritize deliverables and manage expectations.
• Perform exploratory analysis of large data sets.
• Derive tactical and strategic insights to improve business strategies and accelerate business growth.
• Demonstrate strong analytical and statistical skills towards taking complex and unstructured business problems, and providing structured, hypothesis-driven and data-supported practical solutions.
• Have strong empirical and analytical background, with proven ability to combine quantitative and qualitative findings to frame the right questions and measurable insights.
• Partner with cross-functional teams to prioritize initiatives that provide a better customer experience.
• Advocate for specific features based on customer/business feedback and industry trends.
Requirements
• 5+ years of experience in data analytics, data science or related field.
• Exceptional business judgment and quantitative abilities.
• Strong communication skills and experience distilling and presenting complex analyses into committed recommendations.
• Strong technical skills in data analysis tools and programming languages (SQL, Python/R) and a good understanding of data warehouse architecture.
• Experience with data visualization tools (e.g., Tableau, Power BI) to create visually impactful reports and dashboards.
• Hypothesis testing and experience with experimentation (A/B testing).
• Solid understanding of statistical modeling techniques and their application to business scenarios - more specific to surface and communicate business insights.
• Excellent communication and presentation skills with the ability to proactively collaborate with cross-functional teams and convey complex information to both technical and non-technical partners.
Nice-to-haves
• Customer centric - passionate about advocating for customers.
• Highly flexible - able to switch gears and embrace rapid change.
• Solution oriented - passionate about solving difficult business problems and telling the story behind the numbers.
• Cross-functional and collaborative - communicate effectively with partners and technology teams.
• Hands-on - use peers and leadership to optimally influence best in class performance from suppliers and internal teams.
• Naturally inclined to learning new things - proactively pursue acquiring new knowledge about work and enjoy sharing knowledge with others.
Benefits
• 401(k)
• RSU
• Paid time off
• Parental leave
Apply Now
Apply Now