About the position
Kargo is seeking a data analyst with at least 3 years of experience to join their team. The ideal candidate will have a degree in Data Analytics, Economics, Computer Science, Operations Research, Math, or Statistics, with a quantitative focus. They will be proficient in querying and manipulating complex raw datasets for analysis using SQL, Python, and/or R, and have experience creating dashboards using Tableau or similar visualization tools. The role involves quantitative analysis, communicating results to product, engineer, and leadership teams, and providing analytics on user behaviors and market research to support more informed product decisions. Knowledge of logistics, warehousing, and supply chain is a plus.
Responsibilities
- Quantitative analysis – including clustering, regression, pattern recognition, or descriptive and inferential statistics.
- Communicate the results of analysis to product, engineer, and leadership teams to influence strategy.
- Partner with Product, Operations and Engineering teams to solve problems and identify trends, risks and opportunities.
- Provide analytics on user behaviors and market research to support more informed product decisions.
Requirements
- 3+ years of work experience in a data analytics role.
- Proficiency in querying and manipulating complex raw datasets for analysis using SQL, Python, and/or R.
- Experience with big data analytics platforms and tools such as Bigquery, Airflow, etc.
- Experience creating dashboards using Tableau (or similar) visualization tools.
- Ability to drive strategic discussions and convert strategy to action. Experience explaining technical concepts and analysis implications clearly to varied audiences and can translate business objectives into actionable analysis.
- Degree in Data Analytics, Economics, Computer Science, Operations Research, Math, or Statistics, with a quantitative focus.
- Advanced degree with a quantitative focus (Data Analytics, Economics, Computer Science, Operations Research, Math, Statistics) (Nice to Have).
- Knowledge of logistics, warehousing, and supply chain is a plus (Nice to Have).
- Knowledge of computer vision or machine learning (Nice to Have).