Hinge is seeking an experienced Data Analyst to join their Trust and Safety organization to provide data-driven insights that keep scammers off the platform and users safe.
Requirements
- Proficiency in SQL in a big data environment and a strong ability to wrangle and analyze data, with bonus points for familiarity with Python
- Strong understanding of data modeling practices and techniques
- Experience with BI tools such as Looker (preferred) or Tableau
- Familiarity with data science concepts is preferred
Responsibilities
- Triage scammer attacks and disseminate rapid, real-time data support to take down fraud accounts quickly and accurately
- Develop an expert understanding of Hinge data, key product and business metrics, and factors that can impact performance
- Perform ad hoc analytics to identify business critical trends and insights from data
- Tell cohesive and compelling stories with data and deliver effective presentations of findings to stakeholders
- Work with BI Engineers to create analytical tools that allow users to explore data and surface insights on their own
- Collaborate with Data Scientists and Machine Learning engineers on advanced analytics projects
Other
- 5+ years of work experience, including 3+ years in business intelligence or related data & analytics fields
- 3+ years of experience working in a fast-paced, data-rich environment
- Collaboration with stakeholders across product management, research, and engineering using descriptive analytics, a working knowledge of frequentist statistics, and business intelligence tools to unlock insights in our data.
