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Data Analyst - Marketplace
Company | OpenSponsorship |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Software Development |
Expires | 2023-08-24 |
Posted at | 9 months ago |
We are seeking an experienced Data Analyst to join our team. This is a cross-functional role where you will interact with members of the sales, marketing, engineering, operations and product team. Our ideal candidate will have a solid quantitative background, experience in data manipulation and visualization and will always strive to learn and improve. Previous experience in martech or at a marketplace preferred.
- Perform exploratory data analysis to gain deep understanding of how the data will advise the business decision
- Maintain and support our existing data ETL pipeline and data analytics tools, including Google Analytics, Mixpanel, and etc
- Building internal tools that support the analytical need of functional data analysis
- Continuously look for ways to improve, automate, and scale the current data process and analytics capabilities
- Draw & present hypotheses from the raw data without coming to conclusions.
- Design and development of dashboards and data visualization views
- Work closely with our marketing, business, engineering, and product teams to track KPIs and identify areas of growth
- Present to executive and non-technical audience and uncover insights by telling compelling stories using the data and visualizations
- Bachelor’s degree in technical or quantitative fields such as Analytics, Mathematics, Engineering, and Computer science
- Detail-oriented and highly organized
- Ability to adapt and thrive in a fast-paced environment
- 1+ years of highly analytical experience in data analytics or business intelligence (non internship)
- Proficient in data visualization tool such as Tableau
- Experience with non-relational database such as MongoDB is a plus
- Strong interpersonal and communication skills
- Advanced SQL skills. Proficiency in Python (pandas) with an emphasis on data manipulation and visualization is strongly preferred.
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