Description:

Design, model, and implement data analysis and analytics solutions.
Act as a hands-on individual contributor for data projects, focusing on high-level design, analysis, experiments, data architecture, and data modeling.
Support ETL pipeline modules by designing state-of-the-art transformations, data cleaning, matching, reports/dashboards, and statistical analysis.
Utilize analysis techniques such as segmentation, regressions, clustering, and data profiling to analyze trends and report key performance indicators.
Collaborate with cross-functional teams in an Agile environment to build large-scale, high-availability, fault-tolerant data analytics platforms using the Apache Spark ecosystem, Data Visualization, and Advanced Analytics.

Requirements:

Strong analytical and problem-solving skills.
Self-motivated learner with a willingness to learn new technologies.
Receptive to constructive feedback and confident with excellent written and verbal communication skills.
Open to working in a small development environment.

Opportunity to work with a talented, high-energy, and creative team focused on building a world-class product.
Remote work flexibility.
Investment in people, culture, and community.
Continuous recognition as one of the best places to work in the San Francisco Bay Area.
Commitment to diversity, equity, and inclusion, creating a workplace culture that values and celebrates diversity in all its forms.