Analyst, Content Safety

Apigee; Austin (TX); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Retirement benefits

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Apigee is seeking professionals for a role focused on data analytics, policy and cybersecurity within the US. The position highlights a comprehensive benefits package and eligibility for on-site work in Austin, TX or Kirkland, WA.

Ideal candidates have a strong background in data analytics and Trust & Safety, with 4 years of related experience, and degrees aligned to quantitative fields. The role emphasizes problem solving and collaboration in a fast-changing environment.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.

Skills

Data analytics

Trust & Safety

Policy understanding

Cybersecurity

Education

Bachelor's degree or equivalent practical experience

Tools

C/C++

Python

Java

Job description

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Kirkland, WA, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.

Preferred qualifications:

• Master's degree or PhD in a quantitative field like engineering, computer science, mathematics, or statistics.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
• Experience with scripting and coding (e.g., C/C++, Python, Java).
• Experience with fraud or policy investigations, fraud risk management, Internet advertising, or e-commerce.
• Experience in roles related to business analysis, statistical analysis/machine learning/AI.