Senior Product Analyst
vor 3 Wochen
We are looking for a Senior Product Analyst - Logistics (all genders) to join the Logistics Analytics Team , on our journey to always deliver amazing experiences.
In Logistics, we build products and shape processes towards an amazing delivery experience for our customers, riders, and service. In the Analytics team, we curate data to uncover insights, enable self-service discovery, and drive strategic development of Logistics functions. Being embedded in the Product Line, we foster the “data-first” mindset and drive change in product development.
As a Senior Product Analyst, you will bring insights for one or more domains, collaborate with a team of about 5-10 analysts, drive projects across various data functions, collaborate with Data Science and enable our stakeholders in Product, Tech, and Operations to make data-driven decisions.
Engaging with key stakeholders to understand the business vision, requirements & priorities and helping to translate this into actionable insights
Build accessible, creative and engaging data visualizations to facilitate access to insights
Develop and curate unstructured data in collaboration with Data Engineering, Product and Operations
Refine, challenge and support requests from stakeholders and generate new data analyses
Lead data exploration projects, and help identify and define future insight and data needs to support various business initiatives
Own our data catalog for all Logistics dimensions, metrics and KPIs
Qualifications
minimum 5 years of experience as a BI/Data/Product analyst working for internet companies
Bachelor's degree or higher in a quantitative subject, ( computer science, physics, mathematics, engineering, statistics)
Excellent SQL skills, with practical experience of big data tools (ideally BigQuery)
Intermediate Python skills, with practical experience
You are creative in data visualization (Tableau experience is a plus)
Experience with version control systems (VCS) ( Github)
Proven team player behavior and process-oriented mindset
Independent and rigorous working style, appreciation for Agile environments
Experience in dealing with stakeholders and challenging the scope of projects
Proven record of adopting and improving team standards and processes
Highly passionate about data, with creative problem-solving abilities and an eye for detail
Good English communication skills
Nice to have:
Experience with Airflow
Experience with A/B testings and applied statistics
Experience with using data lakes / data marts
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