Engineering Analyst, Trust and Safety, AdSpam

Apigee; Austin (TX); On-site; USD 70,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Apigee in Austin, TX is seeking a data analyst to identify trends, generate summary statistics, and draw actionable insights from both quantitative and qualitative data. This role requires 2 years of data analysis experience, including identifying trends, generating summary statistics, and drawing insights.

You will help define project scopes, goals, and deliverables, and manage projects across teams. Preferred qualifications include a Master’s degree in a quantitative field, experience with

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in data analysis, identifying trends, generating summary statistics, and drawing insights from data.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.

Skills

SQL

Python

R

C++

Communication

Data analysis

Education

Bachelor's degree

Master's degree in a quantitative discipline

Tools

Machine Learning Systems

Job description

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: Kirkland, WA, USA; Austin, TX, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:

• Master's degree in a quantitative discipline.
• 2 years of experience with one or more of the following languages: SQL, R, Python, or C++.
• 2 years of experience with machine learning systems.
• Excellent written and verbal communication skills.