Quantitative UX Researcher: Behavioral Data + Amplitude

Athenahealth India; Boston (MA); Hybrid; USD 153,000 - 259,000; Full time

Benefits offered by this job

Commuter support

Tuition assistance

Employee resource groups

Flexible work

Job summary

athenahealth in Boston is seeking a Lead Quantitative UX Researcher to embed behavioral data into product decisions. You’ll leverage Amplitude and SQL/R to interpret user behavior across diverse populations, partnering with the Behavioral Data & Product team to shape roadmaps and dashboards.

You’ll conduct qualitative interviews, experiments, and surveys, translate findings into design recommendations, and develop repeatable analytics workflows.

Qualifications

• 5+ years of experience in quantitative UX research or behavioral data science.
• Proficiency in SQL and R or Python and in statistical methods.
• Experience with product analytics platforms, specifically Amplitude.
• Experience using AI tools to improve research workflows.
• Qualitative methods including user interviews and usability testing.

Responsibilities

• Plan research with cross-functional partners and define studies and success measures.
• Analyze user behavior with funnel, retention, cohort, and segmentation analyses.
• Develop dashboards and reports to inform product decisions.
• Conduct qualitative research and translate findings into actionable recommendations.
• Collaborate with Data & Product and Engineering teams on data quality and tracking plans.

Skills

SQL

R or Python

Amplitude

Behavioral data

Education

Bachelor's degree in Behavioral Science or related field

Tools

Amplitude

SQL

R

Python

Job description

athenahealth in Boston is seeking a Lead Quantitative UX Researcher to embed behavioral data into product decisions. You’ll leverage Amplitude and SQL/R to interpret user behavior across diverse populations, partnering with the Behavioral Data & Product team to shape roadmaps and dashboards.

You’ll conduct qualitative interviews, experiments, and surveys, translate findings into design recommendations, and develop repeatable analytics workflows.