JOB DESCRIPTION
- The Fraud & Safety Operations Analytics team is looking for an operations data analyst with a strong delivery record of working with several data sources for identifying, analyzing, visualizing and interpreting trends for solving high priority business problems.
- In this role, you will support the Fraud & Safety Investigation operations team to drive impactful results for the company, and be involved in the end-to-end project lifecycle right from problem definition to creating dashboards for sharing insights.
Skills:
- 5+ years in an ops data analyst or similar role in a high throughput organization
- High proficiency in Advanced SQL developing queries
- Experience building full workflow/funnel metric suits (in Customer Support/Operations a plus)
- Working knowledge and understanding of Forecasting techniques, Experiments, Causation & Correlation, and Statistical models
- Experience with Superset, Tableau, or similar BI platform (e.g. Salesforce) to develop reports and dashboards
- Ability to work independently with stakeholders, write requirements, and solve analytical problems in fast-paced, ambiguous environments
- Able to serve as a liaison between business and technical teams (e.g. AE/DE, Eng) to drive effective, timely solutions, insights to actions, that fulfill both strategic and operational needs
- Able to team effectively with others and build relationships at all levels, both within the team and with stakeholders
Highly Preferred:
- Experience in Operations or Customer Support teams analytics
Education:
- Undergrad degree or better in a quantitative field
The hiring range for this position is $72 to $82 per hour. The base pay actually offered will take into account internal equity, and may also vary depending on candidate's geographic region, job-related knowledge, skills, and experience amongst other factors.
Harvest Technical Services is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or any other federal, state, or local protected class.