Data Scientist
Analytics
Posted on 3/8/2022
INACTIVE
Technology-driven transportation for e-commerce deliveries
Company Overview
Pandion is a technology-driven transportation provider, specializing in one-day and two-day delivery services, designed to meet the fast-paced demands of e-commerce. The company's competitive advantage lies in its team's extensive experience from industry leaders like Amazon, Walmart, FedEx, and Deloitte, and its use of machine learning and artificial intelligence to ensure precise and reliable delivery. Pandion's customer-centric culture and commitment to keeping brands at the forefront make it an exciting and rewarding place to work.
AI & Machine Learning
Data & Analytics
B2B
Company Stage
Series B
Total Funding
$85.8M
Founded
2020
Headquarters
Seattle, Washington
Growth & Insights
Headcount
6 month growth
↑ 0%1 year growth
↑ 25%2 year growth
↑ 124%Locations
United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Airflow
Communications
SQL
Tableau
Looker
Data Analysis
CategoriesNew
Data & Analytics
Requirements
- Demonstrate ability to gain in-depth understanding of the business, strong analytical and communication skills to translate high level asks into technical requirements and roadmaps
- Demonstrated ability to communicate data results, insights, and uncertainties to business and non-technical stakeholders
- Data visualization skills to present complex metrics and analysis with impactful data visuals
- SQL, excel, tableau (or looker), python
- Nice-to-have: Experience with Airflow or other orchestration tools. Open source visualization tools to tell intuitive data stories
Responsibilities
- Partner with internal stakeholders (Strategy, Ops etc) to develop data pipelines of regularly needed views of data for adhoc reporting and analysis. Collaborate closely with internal users to translate core business logic into our datasets and metrics
- Champion the growth of analytics/BI maturity curve within Pandion. Provide toolsets and roadmap for growing adhoc analytics workflows into self-serve BI toolsets of the future
- Develop and maintain ETL pipelines in production that provides clean, accurate reliable dataset to internal end-users
- Maintain insights and metrics pipelines that are robust to changes in core datasets including customer pipelines. Design reporting and analytics solutions. For example provide support for metrics needed for weekly business review
- Drive and facilitate design discussion for the data models, tables and ETLs for analytics. Monitor and maintain uptime of the system critical pipelines