Job Description
We are on the lookout for a Product Analyst - (Logistics, Customer) to join the Logistics Analytics Team, on our journey to always deliver amazing experiences. This is a fixed term role (maternity cover)
In our Logistics Team, you’ll tackle high-impact challenges that make last-mile delivery efficient, affordable, and sustainable. Your work will directly improve experiences for riders, end customers, and merchants across the globe. Each enhancement you contribute will help Delivery Hero optimize delivery operations, supporting expansion into new areas like grocery and retail.
As a 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.
1. Engaging with key stakeholders to understand the business vision, requirements & priorities and helping to translate this into actionable insights
2. Build accessible, creative and engaging data visualizations to facilitate access to insights
3. Develop and curate unstructured data in collaboration with Data Engineering, Product and Operations
4. Refine, challenge and support requests from stakeholders and generate new data analyses
5. Lead data exploration projects, and help identify and define future insight and data needs to support various business initiatives
6. Own our data catalogue for all Logistics dimensions, metrics and KPIs
Qualifications
7. 4+ years experience as a BI/Data/Product analyst working for Internet companies
8. Bachelor's degree or higher in a quantitative subject, ( computer science, physics, mathematics, engineering, statistics)
9. Excellent SQL and Python skills, with practical experience of big data tools (ideally BigQuery)
10. Experience with data visualization (Tableau experience is a plus) and version control systems (VCS) ( Github)
11. Experience in dealing with stakeholders and challenging the scope of projects; proven record of adopting and improving team standards and processes. Excellent English communication skills, both written and spoken
12. Nice to have: Experience with Airflow, experience with A/B testings and applied statistics and experience with using data lakes/data marts