Responsibilities:
- Demonstrate strong analytical and statistical skills towards taking complex and unstructured business problems, wide variety of quantitative and qualitative data, and provide structured and data-supported practical solutions to optimize eBay’s domestic and cross-border shipping operations.
- Drive product decisions through A/B testing techniques to improve shipping time estimates, routing, cost reduction while optimizing conversion.
- Serve as a trusted partner and advisor to business units and senior leaders, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success.
- Collaborate with cross-functional teams, including business unit, product management, engineering, and finance, to identify, prioritize, and solve shipping-related business challenges.
- Drive innovation and continuous improvement within the Incentive and Loyalty analytics team, develop data products for faster and accurate decision-making, leverage advanced analytics tools and data science models.
Additional requirements: This role operates within a hybrid work-from-home model, requires flexibility for late evening audio or video conference meetings with US or Europe-based partners, or respond to emails and complete tasks in late evenings.
What we expect from you:
- Bachelor’s degree in Engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative field. Master’s in a related field or MBA is preferred.
- 8+ years of work experience in data science, analytics, or a related field.
- Strong analytical skills with expertise in SQL, Excel and data visualization tools (e.g. Tableau), Proficiency in a statistical programming language like R or Python is preferred
- Background in product analytics with hands on experience with A/B experiments (design and measurement techniques) is preferred.
- Proven track record of using data science / analytics to drive significant business impact, build predictive models, tackle elasticity and optimization problems.
- Excellent communication skills, with the ability to translate technical concepts into actionable insights for non-technical partners.
- Experience working in a fast-paced environment with cross-functional teams
Basic checks:
- Educational background – Bachelor’s in engineering, CS, Statistics, quant field
- 7-10 years of experience, majorly spent in analytics and data science role
- Some keywords to look for – “data science”, “analytics”, “A/B testing”, “product analytics”
- Tools: SQL, Python and at least 1 reporting tool like Tableau/ QlikView/ Power BI
- Some experience in similar companies – ecommerce/ retail would be good
- Good to have but not necessarily – MBA, good colleges
- Mentioned business impact from their work
Candidate check:
- Hybrid role, working with global partners which means late night calls