Data Science - Analyst 3

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Position – Associate Manager, Data Science Analytics

Location: Bangalore, India

The Global Shipping team works closely with product and business partners with the objective to drive success of eBay’s key shipping initiatives through data-driven recommendations, we are a dynamic and driven team working on high impact projects along with partners from global teams.

We are seeking a high-energy, driven and collaborative team member with extensive problem-solving skills, sound business judgement and deep analytical capabilities.

Responsibilities:

• Demonstrate strong analytical skills towards taking complex and unstructured business problems, wide variety of quantitative and qualitative data, and provide structured and data-supported practical solutions.

• Demonstrate a variety of analytics skills depending on project needs – ranging from metric deep-dives, reporting/dashboarding for senior leaders, product analysis, building data science models.

• Develop an understanding of eBay’s Shipping solutions, product flows and work with product teams on A/B experiments.

• Serve as a trusted partner to business units and senior leaders, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success.

• Drive innovation and continuous improvement within the shipping 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 on some days

What we are looking for:

• Bachelor’s degree in Engineering or related quantitative field from top-tier institutes with 5 -7 years of work experience in data science/ analytics area. Or, Master's/MBA and 5+ years of relevant work experience.

• 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 and ready to take complete ownership of their workstream.

We are a partner to business and product teams driving impact within the Shipping organization, and we are looking for a motivated and dependable team member to join us in this journey.

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